University campus in California
Updated January 2026

Best Colleges for Machine Learning in California 2026 Rankings

Explore 132 accredited machine learning degree programs in California. Compare schools by graduation rate, salary outcomes, and tuition—from De Anza College to University of California-Berkeley.

#1 ProgramUC Berkeley
Avg Salary$145,770
Tuition From$1,395/yr
Job Growth+22%

Key Takeaways

Top 3 ranked: UC Berkeley, UCLA, U of California-Irvine

Based on graduation rates, program outcomes, and institutional quality

IPEDS 2023

Tuition ranges from $1,104 to $66,640/year

De Anza College offers the most affordable option at $1,395/yr

IPEDS 2023

Degree levels: 72 associate's, 40 master's, 13 doctoral programs available in California

From community college pathways to advanced research degrees

IPEDS 2023

27 California programs offer online or hybrid formats

Flexible scheduling for working professionals

IPEDS 2023

California community college transfer can save 40-60% on total degree costs

72 associate's programs provide transfer pathways to bachelor's degrees

Education Commission of the States

Major employers: Google, Apple, Meta, Netflix

Tech hubs in San Francisco and San Jose

Hakia Research 2026

Machine Learning programs available near 231+ cities across California

Search by city to find programs within 200 miles of your location

IPEDS 2023

Updated February 2026

On This Page
$145,770
Is Machine Learning in California Worth It?
Yes. Machine Learning degrees in California deliver strong ROI—graduates earn $145,770 median salary with +22% job growth through 2032. In-state tuition averages $12,838/year.

Source: BLS OEWS May 2024

Best Machine Learning Degree Programs in California

Bachelor's Machine Learning Programs in California

54 programs$145,770 median salary91% avg grad rate
54
Programs
$145,770
Median Salary
$26,454/yr
Avg Tuition
91%
Avg Grad Rate

Program Landscape

California ranks among the nation's top destinations for machine learning education, with 54 accredited bachelor's degree programs across 30 public and 24 private institutions. The highest-ranked programs are UC Berkeley, UCLA, U of California-Irvine, recognized for academic excellence, research opportunities, and strong industry connections.

Career Outcomes

Graduates from California machine learning programs earn a median salary of $123,905—26% above the national average. The state's robust technology sector, anchored by the San Francisco, San Jose, Los Angeles metropolitan areas, provides abundant internship and employment opportunities with companies including Google, Apple, Meta.

Costs & Value

Tuition ranges from $5,742 to $66,640 annually, with an average of $26,454/yr. Top programs maintain graduation rates above 91%, with the highest reaching 100%. Many programs hold ABET accreditation, the gold standard for computing education, ensuring curriculum meets rigorous industry standards.

Curriculum & Specializations

Students can choose from specializations including software engineering, cybersecurity, artificial intelligence, data science, and systems architecture. Strong industry partnerships provide access to co-op programs, capstone projects with real companies, and direct recruiting pipelines to California's leading technology employers. For students seeking machine learning degrees in California, these top-ranked machine learning schools offer the strongest combination of academic rigor and career preparation.

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#1

University of California-Berkeley

Public
Berkeley, CA
$11,834
Tuition
96%
Grad Rate
93.0
Score
Website
#2

University of California-Los Angeles

Public
Los Angeles, CA
$11,834
Tuition
92%
Grad Rate
90.1
Score
Website
#3

University of California-Irvine

Public
Irvine, CA
$11,834
Tuition
96%
Grad Rate
89.4
Score
Website
#4

University of Southern California

Private
Los Angeles, CA
$66,640
Tuition
92%
Grad Rate
87.0
Score
Website
#5

University of California-San Diego

Public
La Jolla, CA
$11,834
Tuition
81%
Grad Rate
84.7
Score
Website
#6

University of California-Santa Cruz

Public
Santa Cruz, CA
$11,834
Tuition
93%
Grad Rate
76.1
Score
Website
#7

University of California-Davis

Public
Davis, CA
$11,834
Tuition
91%
Grad Rate
81.3
Score
Website
#8

California Polytechnic State University-San Luis Obispo

Public
San Luis Obispo, CA
$5,742
Tuition
100%
Grad Rate
74.6
Score
Website
#9

California Institute of Technology

Private
Pasadena, CA
$60,816
Tuition
88%
Grad Rate
72.6
Score
Website
#10

University of California-Santa Barbara

Public
Santa Barbara, CA
$11,834
Tuition
90%
Grad Rate
74.6
Score
Website

Complete Machine Learning Program Rankings in California

Best Associate's Machine Learning Programs in California

### Program Landscape California offers **72 accredited** associate's degree programs in machine learning, providing an affordable entry point into the technology field. The top-ranked programs include **De Anza College**, **Grossmont College**, **Citrus College**, which combine rigorous technical curriculum with practical skills training. ### Costs & Value Community colleges in California offer these two-year programs at an average cost of **$1,219/yr**—significantly less than four-year university tuition. Students completing associate's degrees can pursue entry-level technical positions and transfer opportunities, with entry-level salaries averaging **$80,174** in California. ### Career Pathways Many programs feature guaranteed transfer agreements with California's public universities, allowing students to complete their first two years at reduced cost before transferring to complete a bachelor's degree. The San Francisco, San Jose, Los Angeles areas offer particularly strong job markets for associate's degree holders, with employers like Google, Apple, Meta hiring for technical support, junior development, and IT specialist positions. ### Curriculum & Specializations Programs typically include coursework in programming fundamentals, database management, networking basics, and software development. Among machine learning schools in California, these associate's programs offer the best value for students beginning their machine learning degrees in California.

  1. #1. De Anza College

    Location: Cupertino, CA | Type: Public | Tuition: $1,395/year | Score: 54.7

  2. #2. Grossmont College

    Location: El Cajon, CA | Type: Public | Tuition: $1,288/year | Score: 51.9

  3. #3. Citrus College

    Location: Glendora, CA | Type: Public | Tuition: $1,104/year | Score: 51.3

  4. #4. Irvine Valley College

    Location: Irvine, CA | Type: Public | Tuition: $1,104/year | Score: 51.3

  5. #5. San Diego Miramar College

    Location: San Diego, CA | Type: Public | Tuition: $1,104/year | Score: 51.2

  6. #6. College of the Canyons

    Location: Santa Clarita, CA | Type: Public | Tuition: $1,104/year | Score: 51.2

  7. #7. Clovis Community College

    Location: Fresno, CA | Type: Public | Tuition: $1,288/year | Score: 43.5

  8. #8. Santa Monica College

    Location: Santa Monica, CA | Type: Public | Tuition: $1,104/year | Graduation Rate: 95% | Score: 59.5

  9. #9. Foothill College

    Location: Los Altos Hills, CA | Type: Public | Tuition: $1,395/year | Score: 48.2

  10. #10. Moorpark College

    Location: Moorpark, CA | Type: Public | Tuition: $1,340/year | Score: 48.0

  11. #11. Mt San Jacinto Community College District

    Location: San Jacinto, CA | Type: Public | Tuition: $1,380/year | Score: 40.7

  12. #12. Riverside City College

    Location: Riverside, CA | Type: Public | Tuition: $1,380/year | Score: 47.8

  13. #13. Saddleback College

    Location: Mission Viejo, CA | Type: Public | Tuition: $1,380/year | Score: 47.8

  14. #14. Bakersfield College

    Location: Bakersfield, CA | Type: Public | Tuition: $1,380/year | Score: 47.7

  15. #15. San Diego Mesa College

    Location: San Diego, CA | Type: Public | Tuition: $1,104/year | Score: 47.4

  16. #16. Southwestern College

    Location: Chula Vista, CA | Type: Public | Tuition: $1,288/year | Score: 47.3

  17. #17. Santa Barbara City College

    Location: Santa Barbara, CA | Type: Public | Tuition: $1,104/year | Score: 47.2

  18. #18. Santa Rosa Junior College

    Location: Santa Rosa, CA | Type: Public | Tuition: $1,242/year | Score: 46.9

  19. #19. Cerritos College

    Location: Norwalk, CA | Type: Public | Tuition: $1,288/year | Score: 46.9

  20. #20. College of San Mateo

    Location: San Mateo, CA | Type: Public | Tuition: $1,288/year | Score: 46.8

  21. #21. Norco College

    Location: Norco, CA | Type: Public | Tuition: $1,380/year | Score: 46.8

  22. #22. College of the Desert

    Location: Palm Desert, CA | Type: Public | Tuition: $1,288/year | Score: 46.7

  23. #23. Merced College

    Location: Merced, CA | Type: Public | Tuition: $1,104/year | Score: 46.6

  24. #24. Sierra College

    Location: Rocklin, CA | Type: Public | Tuition: $1,104/year | Score: 46.6

  25. #25. Evergreen Valley College

    Location: San Jose, CA | Type: Public | Tuition: $1,288/year | Score: 46.6

  26. #26. Allan Hancock College

    Location: Santa Maria, CA | Type: Public | Tuition: $1,104/year | Score: 46.5

  27. #27. Cabrillo College

    Location: Aptos, CA | Type: Public | Tuition: $1,104/year | Score: 46.5

  28. #28. Chaffey College

    Location: Rancho Cucamonga, CA | Type: Public | Tuition: $1,104/year | Score: 46.4

  29. #29. MiraCosta College

    Location: Oceanside, CA | Type: Public | Tuition: $1,104/year | Graduation Rate: 94% | Score: 57.3

  30. #30. Modesto Junior College

    Location: Modesto, CA | Type: Public | Tuition: $1,188/year | Graduation Rate: 77% | Score: 53.2

  31. #31. Ohlone College

    Location: Fremont, CA | Type: Public | Tuition: $1,104/year | Score: 46.4

  32. #32. Skyline College

    Location: San Bruno, CA | Type: Public | Tuition: $1,288/year | Score: 46.4

  33. #33. Las Positas College

    Location: Livermore, CA | Type: Public | Tuition: $1,104/year | Score: 46.4

  34. #34. Antelope Valley Community College District

    Location: Lancaster, CA | Type: Public | Tuition: $1,104/year | Graduation Rate: 82% | Score: 46.0

  35. #35. Santiago Canyon College

    Location: Orange, CA | Type: Public | Tuition: $1,104/year | Score: 46.2

  36. #36. Crafton Hills College

    Location: Yucaipa, CA | Type: Public | Tuition: $1,104/year | Score: 46.1

  37. #37. Palomar College

    Location: San Marcos, CA | Type: Public | Tuition: $1,288/year | Score: 46.1

  38. #38. Santa Ana College

    Location: Santa Ana, CA | Type: Public | Tuition: $1,104/year | Score: 46.1

  39. #39. Butte College

    Location: Oroville, CA | Type: Public | Tuition: $1,104/year | Score: 46.0

  40. #40. Yuba College

    Location: Marysville, CA | Type: Public | Tuition: $1,104/year | Score: 46.0

  41. #41. Cypress College

    Location: Cypress, CA | Type: Public | Tuition: $1,104/year | Graduation Rate: 68% | Score: 50.4

  42. #42. Reedley College

    Location: Reedley, CA | Type: Public | Tuition: $1,288/year | Score: 45.9

  43. #43. Long Beach City College

    Location: Long Beach, CA | Type: Public | Tuition: $1,472/year | Score: 45.9

  44. #44. Hartnell College

    Location: Salinas, CA | Type: Public | Tuition: $1,380/year | Score: 45.8

  45. #45. Cuyamaca College

    Location: El Cajon, CA | Type: Public | Tuition: $1,288/year | Score: 45.7

  46. #46. College of the Sequoias

    Location: Visalia, CA | Type: Public | Tuition: $1,288/year | Score: 45.6

  47. #47. San Bernardino Valley College

    Location: San Bernardino, CA | Type: Public | Tuition: $1,104/year | Score: 45.5

  48. #48. Imperial Valley College

    Location: Imperial, CA | Type: Public | Tuition: $1,104/year | Score: 45.3

  49. #49. Solano Community College

    Location: Fairfield, CA | Type: Public | Tuition: $1,104/year | Graduation Rate: 74% | Score: 43.5

  50. #50. Los Medanos College

    Location: Pittsburg, CA | Type: Public | Tuition: $1,288/year | Score: 45.3

  51. #51. Los Angeles City College

    Location: Los Angeles, CA | Type: Public | Tuition: $1,196/year | Score: 45.2

  52. #52. San Joaquin Delta College

    Location: Stockton, CA | Type: Public | Tuition: $1,288/year | Score: 45.2

  53. #53. Canada College

    Location: Redwood City, CA | Type: Public | Tuition: $1,288/year | Score: 45.1

  54. #54. Rio Hondo College

    Location: Whittier, CA | Type: Public | Tuition: $1,306/year | Graduation Rate: 65% | Score: 48.8

  55. #55. Moreno Valley College

    Location: Moreno Valley, CA | Type: Public | Tuition: $1,380/year | Score: 45.1

  56. #56. City College of San Francisco

    Location: San Francisco, CA | Type: Public | Tuition: $0/year | Score: 51.0

  57. #57. Monterey Peninsula College

    Location: Monterey, CA | Type: Public | Tuition: $1,104/year | Score: 44.8

  58. #58. West Los Angeles College

    Location: Culver City, CA | Type: Public | Tuition: $1,196/year | Score: 44.8

  59. #59. Glendale Community College

    Location: Glendale, CA | Type: Public | Tuition: $1,104/year | Score: 37.9

  60. #60. Gavilan College

    Location: Gilroy, CA | Type: Public | Tuition: $1,444/year | Score: 44.4

  61. #61. Copper Mountain Community College

    Location: Joshua Tree, CA | Type: Public | Tuition: $1,104/year | Score: 37.6

  62. #62. Contra Costa College

    Location: San Pablo, CA | Type: Public | Tuition: $1,288/year | Score: 44.2

  63. #63. Madera Community College

    Location: Madera, CA | Type: Public | Tuition: $1,288/year | Score: 37.6

  64. #64. Folsom Lake College

    Location: Folsom, CA | Type: Public | Tuition: $0/year | Score: 47.8

  65. #65. Los Angeles Mission College

    Location: Sylmar, CA | Type: Public | Tuition: $1,196/year | Score: 44.0

  66. #66. Barstow Community College

    Location: Barstow, CA | Type: Public | Tuition: $1,104/year | Score: 37.2

  67. #67. Golden West College

    Location: Huntington Beach, CA | Type: Public | Tuition: $1,104/year | Score: 43.7

  68. #68. Cosumnes River College

    Location: Sacramento, CA | Type: Public | Tuition: $0/year | Score: 47.5

  69. #69. American River College

    Location: Sacramento, CA | Type: Public | Tuition: $0/year | Score: 47.3

  70. #70. Napa Valley College

    Location: Napa, CA | Type: Public | Tuition: $1,104/year | Score: 43.4

  71. #71. Mendocino College

    Location: Ukiah, CA | Type: Public | Tuition: $1,380/year | Score: 43.4

  72. #72. College of the Siskiyous

    Location: Weed, CA | Type: Public | Tuition: $1,380/year | Score: 43.4

Online Associate's Machine Learning Programs in California

### Online Program Options California's community colleges offer 44 online associate's machine learning programs, providing flexible pathways for students balancing education with work or family responsibilities. Top-ranked online programs include **Grossmont College**, **De Anza College**, **Santa Monica College**, all regionally accredited and recognized by California employers. ### Costs & Employer Recognition Online associate's programs average **$1,198/yr**—often comparable to or less than on-campus tuition. California-based employers including Google, Apple, Meta value online credentials from accredited institutions, recognizing that program quality matters more than delivery format. The San Francisco, San Jose, Los Angeles job market actively recruits graduates from online programs. ### Program Format These programs feature asynchronous coursework for maximum flexibility, with some offering synchronous sessions for collaborative learning. Students can typically complete **60 credit hours** in 2 years while working full-time. ### Technology & Flexibility Technology requirements include reliable internet access and a modern computer. Programs provide virtual labs, online tutoring, career services, and networking opportunities. Many offer start dates throughout the year and accelerated course formats for motivated students. Graduates earn the same degree as on-campus students, with no distinction on transcripts or diplomas. For students pursuing online machine learning degrees in California, these accredited machine learning schools offer the flexibility and quality that today's learners demand.

  • Grossmont College - El Cajon, CA - Tuition: $1,288/year
  • De Anza College - Cupertino, CA - Tuition: $1,395/year
  • Santa Monica College - Santa Monica, CA - Tuition: $1,104/year
  • Foothill College - Los Altos Hills, CA - Tuition: $1,395/year
  • Cypress College - Cypress, CA - Tuition: $1,104/year
  • San Diego Miramar College - San Diego, CA - Tuition: $1,104/year
  • Saddleback College - Mission Viejo, CA - Tuition: $1,380/year
  • San Diego Mesa College - San Diego, CA - Tuition: $1,104/year
  • Southwestern College - Chula Vista, CA - Tuition: $1,288/year
  • Santa Rosa Junior College - Santa Rosa, CA - Tuition: $1,242/year
  • Cerritos College - Norwalk, CA - Tuition: $1,288/year
  • College of San Mateo - San Mateo, CA - Tuition: $1,288/year
  • College of the Desert - Palm Desert, CA - Tuition: $1,288/year
  • Merced College - Merced, CA - Tuition: $1,104/year
  • Allan Hancock College - Santa Maria, CA - Tuition: $1,104/year
  • Cabrillo College - Aptos, CA - Tuition: $1,104/year
  • Chaffey College - Rancho Cucamonga, CA - Tuition: $1,104/year
  • MiraCosta College - Oceanside, CA - Tuition: $1,104/year
  • Ohlone College - Fremont, CA - Tuition: $1,104/year
  • Skyline College - San Bruno, CA - Tuition: $1,288/year
  • Las Positas College - Livermore, CA - Tuition: $1,104/year
  • Crafton Hills College - Yucaipa, CA - Tuition: $1,104/year
  • Palomar College - San Marcos, CA - Tuition: $1,288/year
  • Santa Ana College - Santa Ana, CA - Tuition: $1,104/year
  • Butte College - Oroville, CA - Tuition: $1,104/year
  • Hartnell College - Salinas, CA - Tuition: $1,380/year
  • San Bernardino Valley College - San Bernardino, CA - Tuition: $1,104/year
  • Imperial Valley College - Imperial, CA - Tuition: $1,104/year
  • Solano Community College - Fairfield, CA - Tuition: $1,104/year
  • Los Medanos College - Pittsburg, CA - Tuition: $1,288/year
  • Los Angeles City College - Los Angeles, CA - Tuition: $1,196/year
  • San Joaquin Delta College - Stockton, CA - Tuition: $1,288/year
  • Canada College - Redwood City, CA - Tuition: $1,288/year
  • Rio Hondo College - Whittier, CA - Tuition: $1,306/year
  • West Los Angeles College - Culver City, CA - Tuition: $1,196/year
  • Glendale Community College - Glendale, CA - Tuition: $1,104/year
  • Folsom Lake College - Folsom, CA - Tuition: $0/year
  • Los Angeles Mission College - Sylmar, CA - Tuition: $1,196/year
  • Barstow Community College - Barstow, CA - Tuition: $1,104/year
  • Golden West College - Huntington Beach, CA - Tuition: $1,104/year
  • Cosumnes River College - Sacramento, CA - Tuition: $0/year
  • American River College - Sacramento, CA - Tuition: $0/year
  • Napa Valley College - Napa, CA - Tuition: $1,104/year
  • College of the Siskiyous - Weed, CA - Tuition: $1,380/year

Best Bachelor's Machine Learning Programs in California

### Program Landscape California ranks among the nation's top destinations for machine learning education, with **54 accredited** bachelor's degree programs across **30 public** and **24 private** institutions. The highest-ranked programs are **UC Berkeley**, **UCLA**, **U of California-Irvine**, recognized for academic excellence, research opportunities, and strong industry connections. ### Career Outcomes Graduates from California machine learning programs earn a median salary of **$123,905**—26% above the national average. The state's robust technology sector, anchored by the San Francisco, San Jose, Los Angeles metropolitan areas, provides abundant internship and employment opportunities with companies including Google, Apple, Meta. ### Costs & Value Tuition ranges from **$5,742** to **$66,640** annually, with an average of **$26,454/yr**. Top programs maintain graduation rates above **91%**, with the highest reaching **100%**. Many programs hold ABET accreditation, the gold standard for computing education, ensuring curriculum meets rigorous industry standards. ### Curriculum & Specializations Students can choose from specializations including software engineering, cybersecurity, artificial intelligence, data science, and systems architecture. Strong industry partnerships provide access to co-op programs, capstone projects with real companies, and direct recruiting pipelines to California's leading technology employers. For students seeking machine learning degrees in California, these top-ranked machine learning schools offer the strongest combination of academic rigor and career preparation.

  1. #1. University of California-Berkeley

    Location: Berkeley, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 96% | Score: 93.0

  2. #2. University of California-Los Angeles

    Location: Los Angeles, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 92% | Score: 90.1

  3. #3. University of California-Irvine

    Location: Irvine, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 96% | Score: 89.4

  4. #4. University of Southern California

    Location: Los Angeles, CA | Type: Private | Tuition: $66,640/year | Graduation Rate: 92% | Score: 87.0

  5. #5. University of California-San Diego

    Location: La Jolla, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 81% | Score: 84.7

  6. #6. University of California-Santa Cruz

    Location: Santa Cruz, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 93% | Score: 76.1

  7. #7. University of California-Davis

    Location: Davis, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 91% | Score: 81.3

  8. #8. California Polytechnic State University-San Luis Obispo

    Location: San Luis Obispo, CA | Type: Public | Tuition: $5,742/year | Graduation Rate: 100% | Score: 74.6

  9. #9. California Institute of Technology

    Location: Pasadena, CA | Type: Private | Tuition: $60,816/year | Graduation Rate: 88% | Score: 72.6

  10. #10. University of California-Santa Barbara

    Location: Santa Barbara, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 90% | Score: 74.6

  11. #11. Stanford University

    Location: Stanford, CA | Type: Private | Tuition: $61,731/year | Score: 74.2

  12. #12. San Diego State University

    Location: San Diego, CA | Type: Public | Tuition: $5,742/year | Graduation Rate: 83% | Score: 69.6

  13. #13. California State University-Long Beach

    Location: Long Beach, CA | Type: Public | Tuition: $5,742/year | Graduation Rate: 73% | Score: 71.7

  14. #14. University of California-Riverside

    Location: Riverside, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 83% | Score: 71.2

  15. #15. San Jose State University

    Location: San Jose, CA | Type: Public | Tuition: $5,742/year | Graduation Rate: 100% | Score: 69.5

  16. #16. California State Polytechnic University-Pomona

    Location: Pomona, CA | Type: Public | Tuition: $5,742/year | Graduation Rate: 87% | Score: 63.9

  17. #17. California State University-Northridge

    Location: Northridge, CA | Type: Public | Tuition: $5,742/year | Graduation Rate: 95% | Score: 61.7

  18. #18. California State University-Sacramento

    Location: Sacramento, CA | Type: Public | Tuition: $5,742/year | Graduation Rate: 92% | Score: 61.1

  19. #19. California State University-Monterey Bay

    Location: Seaside, CA | Type: Public | Tuition: $5,742/year | Graduation Rate: 99% | Score: 61.0

  20. #20. California State University-Los Angeles

    Location: Los Angeles, CA | Type: Public | Tuition: $5,742/year | Graduation Rate: 99% | Score: 63.7

  21. #21. Chapman University

    Location: Orange, CA | Type: Private | Tuition: $62,400/year | Graduation Rate: 93% | Score: 61.5

  22. #22. California State University-Fullerton

    Location: Fullerton, CA | Type: Public | Tuition: $5,742/year | Graduation Rate: 65% | Score: 58.1

  23. #23. University of San Diego

    Location: San Diego, CA | Type: Private | Tuition: $55,690/year | Graduation Rate: 97% | Score: 62.2

  24. #24. Pitzer College

    Location: Claremont, CA | Type: Private | Tuition: $62,392/year | Graduation Rate: 96% | Score: 61.7

  25. #25. California State University-San Marcos

    Location: San Marcos, CA | Type: Public | Tuition: $5,742/year | Graduation Rate: 96% | Score: 58.2

  26. #26. Harvey Mudd College

    Location: Claremont, CA | Type: Private | Tuition: $65,954/year | Score: 59.0

  27. #27. Pomona College

    Location: Claremont, CA | Type: Private | Tuition: $61,906/year | Score: 57.1

  28. #28. California State University-Fresno

    Location: Fresno, CA | Type: Public | Tuition: $5,742/year | Graduation Rate: 97% | Score: 56.6

  29. #29. San Francisco State University

    Location: San Francisco, CA | Type: Public | Tuition: $5,742/year | Score: 50.7

  30. #30. University of San Francisco

    Location: San Francisco, CA | Type: Private | Tuition: $57,670/year | Score: 54.1

  31. #31. Claremont McKenna College

    Location: Claremont, CA | Type: Private | Tuition: $63,800/year | Score: 52.2

  32. #32. Point Loma Nazarene University

    Location: San Diego, CA | Type: Private | Tuition: $42,600/year | Graduation Rate: 94% | Score: 50.4

  33. #33. Occidental College

    Location: Los Angeles, CA | Type: Private | Tuition: $62,850/year | Score: 49.3

  34. #34. California State University-East Bay

    Location: Hayward, CA | Type: Public | Tuition: $5,742/year | Score: 50.2

  35. #35. William Jessup University

    Location: Rocklin, CA | Type: Private | Tuition: $36,000/year | Graduation Rate: 90% | Score: 49.9

  36. #36. National University

    Location: San Diego, CA | Type: Private | Tuition: $13,320/year | Score: 48.9

  37. #37. Scripps College

    Location: Claremont, CA | Type: Private | Tuition: $63,216/year | Score: 46.9

  38. #38. California State University-San Bernardino

    Location: San Bernardino, CA | Type: Public | Tuition: $5,742/year | Score: 43.8

  39. #39. California State University-Dominguez Hills

    Location: Carson, CA | Type: Public | Tuition: $5,742/year | Score: 46.6

  40. #40. California State University-Bakersfield

    Location: Bakersfield, CA | Type: Public | Tuition: $5,742/year | Score: 43.9

  41. #41. California State University-Chico

    Location: Chico, CA | Type: Public | Tuition: $5,742/year | Score: 44.9

  42. #42. Biola University

    Location: La Mirada, CA | Type: Private | Tuition: $46,704/year | Score: 43.8

  43. #43. University of the Pacific

    Location: Stockton, CA | Type: Private | Tuition: $54,506/year | Score: 44.6

  44. #44. California State University-Channel Islands

    Location: Camarillo, CA | Type: Public | Tuition: $5,742/year | Score: 44.1

  45. #45. Concordia University-Irvine

    Location: Irvine, CA | Type: Private | Tuition: $40,510/year | Score: 43.1

  46. #46. California State University-Stanislaus

    Location: Turlock, CA | Type: Public | Tuition: $5,742/year | Score: 41.5

  47. #47. Sonoma State University

    Location: Rohnert Park, CA | Type: Public | Tuition: $5,742/year | Score: 41.5

  48. #48. California Baptist University

    Location: Riverside, CA | Type: Private | Tuition: $37,570/year | Score: 40.9

  49. #49. California Lutheran University

    Location: Thousand Oaks, CA | Type: Private | Tuition: $49,880/year | Score: 39.1

  50. #50. San Francisco Bay University

    Location: Fremont, CA | Type: Private | Tuition: $7,920/year | Score: 40.3

  51. #51. California State Polytechnic University-Humboldt

    Location: Arcata, CA | Type: Public | Tuition: $5,742/year | Score: 38.2

  52. #52. Azusa Pacific University

    Location: Azusa, CA | Type: Private | Tuition: $42,900/year | Score: 39.1

  53. #53. La Sierra University

    Location: Riverside, CA | Type: Private | Tuition: $34,920/year | Score: 36.0

  54. #54. Saint Mary's College of California

    Location: Moraga, CA | Type: Private | Tuition: $55,634/year | Score: 36.2

Online Bachelor's Machine Learning Programs in California

### Online Program Options 32 California institutions offer bachelor's machine learning degrees with online or hybrid options, enabling students to earn accredited degrees while maintaining professional or personal commitments. Top-ranked online programs include **UC Berkeley**, **U of Southern California**, **U of California-San Diego**, all regionally accredited and recognized by California employers. ### Costs & Employer Recognition Online bachelor's programs average **$25,448/yr**—often comparable to or less than on-campus tuition. California-based employers including Google, Apple, Meta value online credentials from accredited institutions, recognizing that program quality matters more than delivery format. The San Francisco, San Jose, Los Angeles job market actively recruits graduates from online programs. ### Program Format These programs feature asynchronous coursework for maximum flexibility, with some offering synchronous sessions for collaborative learning. Students can typically complete **120 credit hours** in 4 years while working full-time. ### Technology & Flexibility Technology requirements include reliable internet access and a modern computer. Programs provide virtual labs, online tutoring, career services, and networking opportunities. Many offer start dates throughout the year and accelerated course formats for motivated students. Graduates earn the same degree as on-campus students, with no distinction on transcripts or diplomas. For students pursuing online machine learning degrees in California, these accredited machine learning schools offer the flexibility and quality that today's learners demand.

  • University of California-Berkeley - Berkeley, CA - Tuition: $11,834/year
  • University of Southern California - Los Angeles, CA - Tuition: $66,640/year
  • University of California-San Diego - La Jolla, CA - Tuition: $11,834/year
  • California Polytechnic State University-San Luis Obispo - San Luis Obispo, CA - Tuition: $5,742/year
  • Stanford University - Stanford, CA - Tuition: $61,731/year
  • San Diego State University - San Diego, CA - Tuition: $5,742/year
  • University of California-Riverside - Riverside, CA - Tuition: $11,834/year
  • University of San Diego - San Diego, CA - Tuition: $55,690/year
  • California State University-Sacramento - Sacramento, CA - Tuition: $5,742/year
  • California State University-Monterey Bay - Seaside, CA - Tuition: $5,742/year
  • California State University-San Marcos - San Marcos, CA - Tuition: $5,742/year
  • University of San Francisco - San Francisco, CA - Tuition: $57,670/year
  • Point Loma Nazarene University - San Diego, CA - Tuition: $42,600/year
  • William Jessup University - Rocklin, CA - Tuition: $36,000/year
  • National University - San Diego, CA - Tuition: $13,320/year
  • California State University-San Bernardino - San Bernardino, CA - Tuition: $5,742/year
  • California State University-Dominguez Hills - Carson, CA - Tuition: $5,742/year
  • California State University-Bakersfield - Bakersfield, CA - Tuition: $5,742/year
  • California State University-Chico - Chico, CA - Tuition: $5,742/year
  • Biola University - La Mirada, CA - Tuition: $46,704/year
  • University of the Pacific - Stockton, CA - Tuition: $54,506/year
  • California State University-Channel Islands - Camarillo, CA - Tuition: $5,742/year
  • Concordia University-Irvine - Irvine, CA - Tuition: $40,510/year
  • California State University-Stanislaus - Turlock, CA - Tuition: $5,742/year
  • Sonoma State University - Rohnert Park, CA - Tuition: $5,742/year
  • California Baptist University - Riverside, CA - Tuition: $37,570/year
  • California Lutheran University - Thousand Oaks, CA - Tuition: $49,880/year
  • San Francisco Bay University - Fremont, CA - Tuition: $7,920/year
  • California State Polytechnic University-Humboldt - Arcata, CA - Tuition: $5,742/year
  • Azusa Pacific University - Azusa, CA - Tuition: $42,900/year
  • La Sierra University - Riverside, CA - Tuition: $34,920/year
  • Saint Mary's College of California - Moraga, CA - Tuition: $55,634/year

Best Master's Machine Learning Programs in California

### Program Landscape California offers **40** master's degree programs in machine learning, designed for professionals seeking to advance into senior engineering, technical leadership, and specialized roles. The top programs—**U of Southern California**, **U of California-San Diego**, **U of California-Irvine**—combine advanced technical training with research opportunities and leadership development. ### Career Outcomes Master's graduates in California earn a median salary of **$145,770**, approximately **20-30% higher** than bachelor's degree holders. The concentration of technology companies in San Francisco, San Jose, Los Angeles creates strong demand for graduate-level talent, with Google, Apple, Meta actively recruiting from these programs. ### Costs & Value Program formats include traditional full-time study (typically 2 years), part-time options for working professionals (2-3 years), and accelerated tracks. Tuition averages **$18,756/yr**, with many employers offering tuition reimbursement for graduate education. Some programs offer thesis and non-thesis tracks, allowing students to focus on research or professional development based on their career goals. ### Curriculum & Specializations Curriculum covers advanced topics including machine learning, distributed systems, software architecture, and technical management. Many programs include practicum experiences, industry capstone projects, or consulting engagements that provide real-world application of advanced concepts. Among California's machine learning schools at the graduate level, these programs stand out for both academic quality and career outcomes.

  1. #1. University of Southern California

    Location: Los Angeles, CA | Type: Private | Tuition: $66,640/year | Graduation Rate: 92% | Score: 100.0

  2. #2. University of California-San Diego

    Location: La Jolla, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 81% | Score: 87.2

  3. #3. University of California-Irvine

    Location: Irvine, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 96% | Score: 84.8

  4. #4. University of California-Los Angeles

    Location: Los Angeles, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 92% | Score: 81.6

  5. #5. University of California-Berkeley

    Location: Berkeley, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 96% | Score: 80.1

  6. #6. Stanford University

    Location: Stanford, CA | Type: Private | Tuition: $61,731/year | Score: 76.9

  7. #7. California Polytechnic State University-San Luis Obispo

    Location: San Luis Obispo, CA | Type: Public | Tuition: $5,742/year | Graduation Rate: 100% | Score: 75.1

  8. #8. University of California-Davis

    Location: Davis, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 91% | Score: 74.3

  9. #9. University of San Diego

    Location: San Diego, CA | Type: Private | Tuition: $55,690/year | Graduation Rate: 97% | Score: 65.4

  10. #10. University of California-Santa Barbara

    Location: Santa Barbara, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 90% | Score: 74.1

  11. #11. San Jose State University

    Location: San Jose, CA | Type: Public | Tuition: $5,742/year | Graduation Rate: 100% | Score: 63.0

  12. #12. California State University-Long Beach

    Location: Long Beach, CA | Type: Public | Tuition: $5,742/year | Graduation Rate: 73% | Score: 64.2

  13. #13. San Diego State University

    Location: San Diego, CA | Type: Public | Tuition: $5,742/year | Graduation Rate: 83% | Score: 71.9

  14. #14. University of California-Riverside

    Location: Riverside, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 83% | Score: 70.9

  15. #15. University of California-Santa Cruz

    Location: Santa Cruz, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 93% | Score: 70.1

  16. #16. California Institute of Technology

    Location: Pasadena, CA | Type: Private | Tuition: $60,816/year | Graduation Rate: 88% | Score: 67.4

  17. #17. California State University-Los Angeles

    Location: Los Angeles, CA | Type: Public | Tuition: $5,742/year | Graduation Rate: 99% | Score: 54.9

  18. #18. California State University-Northridge

    Location: Northridge, CA | Type: Public | Tuition: $5,742/year | Graduation Rate: 95% | Score: 65.4

  19. #19. California State Polytechnic University-Pomona

    Location: Pomona, CA | Type: Public | Tuition: $5,742/year | Graduation Rate: 87% | Score: 64.8

  20. #20. California State University-Fullerton

    Location: Fullerton, CA | Type: Public | Tuition: $5,742/year | Graduation Rate: 65% | Score: 60.0

  21. #21. University of San Francisco

    Location: San Francisco, CA | Type: Private | Tuition: $57,670/year | Score: 47.6

  22. #22. Pepperdine University

    Location: Malibu, CA | Type: Private | Tuition: $65,990/year | Score: 47.5

  23. #23. William Jessup University

    Location: Rocklin, CA | Type: Private | Tuition: $36,000/year | Graduation Rate: 90% | Score: 50.1

  24. #24. California State University-San Marcos

    Location: San Marcos, CA | Type: Public | Tuition: $5,742/year | Graduation Rate: 96% | Score: 57.9

  25. #25. California State University-Fresno

    Location: Fresno, CA | Type: Public | Tuition: $5,742/year | Graduation Rate: 97% | Score: 48.3

  26. #26. California State University-Sacramento

    Location: Sacramento, CA | Type: Public | Tuition: $5,742/year | Graduation Rate: 92% | Score: 57.5

  27. #27. California State University-East Bay

    Location: Hayward, CA | Type: Public | Tuition: $5,742/year | Score: 44.7

  28. #28. Naval Postgraduate School

    Location: Monterey, CA | Type: Public | Tuition: $0/year | Score: 47.1

  29. #29. Claremont Graduate University

    Location: Claremont, CA | Type: Private | Tuition: $0/year | Score: 45.9

  30. #30. National University

    Location: San Diego, CA | Type: Private | Tuition: $13,320/year | Score: 45.8

  31. #31. Northcentral University

    Location: San Diego, CA | Type: Private | Tuition: $11,064/year | Score: 51.8

  32. #32. Sofia University

    Location: Palo Alto, CA | Type: For-Profit | Tuition: $18,000/year | Score: 44.2

  33. #33. San Francisco Bay University

    Location: Fremont, CA | Type: Private | Tuition: $7,920/year | Score: 43.3

  34. #34. Golden Gate University

    Location: San Francisco, CA | Type: Private | Tuition: $11,088/year | Score: 43.7

  35. #35. California State University-Chico

    Location: Chico, CA | Type: Public | Tuition: $5,742/year | Score: 38.0

  36. #36. San Francisco State University

    Location: San Francisco, CA | Type: Public | Tuition: $5,742/year | Score: 47.0

  37. #37. California State University-Dominguez Hills

    Location: Carson, CA | Type: Public | Tuition: $5,742/year | Score: 37.8

  38. #38. University of the Pacific

    Location: Stockton, CA | Type: Private | Tuition: $54,506/year | Score: 37.6

  39. #39. California State University-Channel Islands

    Location: Camarillo, CA | Type: Public | Tuition: $5,742/year | Score: 36.9

  40. #40. California State University-San Bernardino

    Location: San Bernardino, CA | Type: Public | Tuition: $5,742/year | Score: 45.8

Online Master's Machine Learning Programs in California

### Online Program Options Working professionals can advance their careers through 22 online master's machine learning programs from California universities, designed for flexibility without sacrificing academic rigor. Top-ranked online programs include **U of Southern California**, **U of California-San Diego**, **UC Berkeley**, all regionally accredited and recognized by California employers. ### Costs & Employer Recognition Online master's programs average **$24,091/yr**—often comparable to or less than on-campus tuition. California-based employers including Google, Apple, Meta value online credentials from accredited institutions, recognizing that program quality matters more than delivery format. The San Francisco, San Jose, Los Angeles job market actively recruits graduates from online programs. ### Program Format These programs feature asynchronous coursework for maximum flexibility, with some offering synchronous sessions for collaborative learning. Students can typically complete **30-36 credit hours** in 18-24 months while working full-time. ### Technology & Flexibility Technology requirements include reliable internet access and a modern computer. Programs provide virtual labs, online tutoring, career services, and networking opportunities. Many offer start dates throughout the year and accelerated course formats for motivated students. Graduates earn the same degree as on-campus students, with no distinction on transcripts or diplomas. For students pursuing online machine learning degrees in California, these accredited machine learning schools offer the flexibility and quality that today's learners demand.

  • University of Southern California - Los Angeles, CA - Tuition: $66,640/year
  • University of California-San Diego - La Jolla, CA - Tuition: $11,834/year
  • University of California-Berkeley - Berkeley, CA - Tuition: $11,834/year
  • Stanford University - Stanford, CA - Tuition: $61,731/year
  • California Polytechnic State University-San Luis Obispo - San Luis Obispo, CA - Tuition: $5,742/year
  • University of San Diego - San Diego, CA - Tuition: $55,690/year
  • San Diego State University - San Diego, CA - Tuition: $5,742/year
  • University of California-Riverside - Riverside, CA - Tuition: $11,834/year
  • University of San Francisco - San Francisco, CA - Tuition: $57,670/year
  • Pepperdine University - Malibu, CA - Tuition: $65,990/year
  • William Jessup University - Rocklin, CA - Tuition: $36,000/year
  • California State University-San Marcos - San Marcos, CA - Tuition: $5,742/year
  • California State University-Sacramento - Sacramento, CA - Tuition: $5,742/year
  • National University - San Diego, CA - Tuition: $13,320/year
  • Sofia University - Palo Alto, CA - Tuition: $18,000/year
  • San Francisco Bay University - Fremont, CA - Tuition: $7,920/year
  • Golden Gate University - San Francisco, CA - Tuition: $11,088/year
  • California State University-Chico - Chico, CA - Tuition: $5,742/year
  • California State University-Dominguez Hills - Carson, CA - Tuition: $5,742/year
  • University of the Pacific - Stockton, CA - Tuition: $54,506/year
  • California State University-Channel Islands - Camarillo, CA - Tuition: $5,742/year
  • California State University-San Bernardino - San Bernardino, CA - Tuition: $5,742/year

Best Doctoral Machine Learning Programs in California

### Program Landscape California is home to **13** doctoral programs in machine learning, preparing students for research positions, faculty appointments, and executive technical roles. Leading programs at **U of Southern California**, **UC Berkeley**, **U of California-San Diego** are recognized for cutting-edge research, strong faculty publications, and competitive funding packages. ### Career Outcomes Doctoral graduates command premium salaries, with California PhD holders earning a median of **$182,213**—reflecting the advanced expertise required for research and executive positions. The San Francisco, San Jose, Los Angeles region's research universities and corporate R&D centers provide extensive collaboration opportunities with industry leaders like Google, Apple, Meta. ### Costs & Value PhD programs typically require 4-6 years of full-time study, including coursework, qualifying examinations, and original dissertation research. Many programs offer full funding through teaching or research assistantships, covering tuition and providing stipends of **$25,000–$40,000** annually. ### Curriculum & Specializations Research strengths across California programs include artificial intelligence, cybersecurity, human-computer interaction, systems, and theoretical computer science. For aspiring researchers pursuing machine learning degrees in California, graduates go on to careers as university faculty, industry research scientists, or technical executives, contributing to advances in technology that impact millions of users worldwide.

  1. #1. University of Southern California

    Location: Los Angeles, CA | Type: Private | Tuition: $66,640/year | Graduation Rate: 92% | Score: 100.0

  2. #2. University of California-Berkeley

    Location: Berkeley, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 96% | Score: 100.0

  3. #3. University of California-San Diego

    Location: La Jolla, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 81% | Score: 60.8

  4. #4. University of California-Los Angeles

    Location: Los Angeles, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 92% | Score: 65.6

  5. #5. Stanford University

    Location: Stanford, CA | Type: Private | Tuition: $61,731/year | Score: 60.8

  6. #6. University of California-Irvine

    Location: Irvine, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 96% | Score: 63.2

  7. #7. University of California-Santa Barbara

    Location: Santa Barbara, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 90% | Score: 60.9

  8. #8. University of California-Davis

    Location: Davis, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 91% | Score: 57.2

  9. #9. University of California-Riverside

    Location: Riverside, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 83% | Score: 51.7

  10. #10. University of California-Santa Cruz

    Location: Santa Cruz, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 93% | Score: 81.1

  11. #11. California Institute of Technology

    Location: Pasadena, CA | Type: Private | Tuition: $60,816/year | Graduation Rate: 88% | Score: 69.7

  12. #12. Northcentral University

    Location: San Diego, CA | Type: Private | Tuition: $11,064/year | Score: 44.6

  13. #13. Naval Postgraduate School

    Location: Monterey, CA | Type: Public | Tuition: $0/year | Score: 49.5

Online Doctoral Machine Learning Programs in California

### Online Program Options 5 California universities offer doctoral machine learning programs with online or hybrid components, accommodating established professionals pursuing terminal degrees. Top-ranked online programs include **U of Southern California**, **Stanford**, **UC Berkeley**, all regionally accredited and recognized by California employers. ### Costs & Employer Recognition Online doctoral programs average **$32,775/yr**—often comparable to or less than on-campus tuition. California-based employers including Google, Apple, Meta value online credentials from accredited institutions, recognizing that program quality matters more than delivery format. The San Francisco, San Jose, Los Angeles job market actively recruits graduates from online programs. ### Program Format These programs feature asynchronous coursework for maximum flexibility, with some offering synchronous sessions for collaborative learning. Students can typically complete doctoral requirements in 3-5 years while working full-time. ### Technology & Flexibility Technology requirements include reliable internet access and a modern computer. Programs provide virtual labs, online tutoring, career services, and networking opportunities. Many offer start dates throughout the year and accelerated course formats for motivated students. Graduates earn the same degree as on-campus students, with no distinction on transcripts or diplomas. For students pursuing online machine learning degrees in California, these accredited machine learning schools offer the flexibility and quality that today's learners demand.

  • University of Southern California - Los Angeles, CA - Tuition: $66,640/year
  • Stanford University - Stanford, CA - Tuition: $61,731/year
  • University of California-Berkeley - Berkeley, CA - Tuition: $11,834/year
  • University of California-San Diego - La Jolla, CA - Tuition: $11,834/year
  • University of California-Riverside - Riverside, CA - Tuition: $11,834/year

Machine Learning Tuition in California

MetricValue
Average in-state tuition$12,838/year
Average out-of-state tuition$32,095/year
Community college tuition$3,210/year
4-year savings for residents$77,028
2+2 transfer pathway savings$19,256

Source: IPEDS 2023

Machine Learning Financial Aid & Scholarships in California

State Aid Programs

Cal Grants provide substantial state-based aid.

The Cal Grant is California-specific financial aid that does not require repayment. Applicants must complete FAFSA or CA Dream Act Application by the deadline and meet eligibility, financial, and GPA requirements. The minimum financial need threshold is $16,434 for 2025-2026 Cal Grant A awards. The Governor's 2025-26 budget allocates $2.6 billion for Cal Grant spending—a $109 million increase from the prior year (California Student Aid Commission). Application deadlines: March 2 priority deadline for state aid; October 1 FAFSA/CADAA opening for 2026-27 academic year.

Key Programs & Amounts

The Middle Class Scholarship (MCS) 2.0 provides awards to undergraduate and credential students at California State Universities based on Cost of Attendance, other gift aid, a student contribution of $7,898, and parent contribution for dependent students with household income over $100,000. Students must complete FAFSA or CADAA before March 2 for consideration. The Edison Scholars Program offers $12,500 scholarships for Southern California high school seniors pursuing STEM degrees. NSF S-STEM scholarships support computer science students with high academic potential and financial need, with programs at Cal State Stanislaus and partner community colleges focusing on cybersecurity and data science.

Institutional Scholarships

Graduate funding mechanisms differ from undergraduate aid. Research assistantships (RAs) at UC Berkeley and Stanford often cover tuition plus provide living stipends ($30,000-$45,000/year) for PhD students. Teaching assistantships (TAs) offer similar benefits. Professional master's programs (like Berkeley MIDS at $82,096) typically don't include significant institutional funding—students often rely on employer tuition benefits, federal loans, or private loans. Stanford's AI Graduate Certificate courses cost approximately $1,200-$1,500 per unit. Many employers in California's tech industry offer tuition reimbursement programs ($5,250/year tax-free, often more total). International students should explore country-specific scholarships and confirm OPT/CPT eligibility for work authorization.

Calculate Your Machine Learning Degree ROI in California

Use our interactive ROI calculator to estimate your return on investment for a machine learning degree in California. Enter your expected tuition costs, financial aid, and career goals to see projected payback periods and lifetime earnings. The calculator uses current salary data from BLS and tuition data from IPEDS to provide accurate estimates.

Machine Learning Degree ROI Calculator
Estimate your return on investment for a machine learning degree
$

Leave blank to use average cost for selected program type

20 years
10 years20 years30 years
20-Year ROI

+1640%

Net gain divided by total investment. ROI above 200% is considered excellent for education investments.

Net Gain

$3,033,585

Your additional lifetime earnings with this degree vs. working without one, minus the total investment.

Break-Even

5 years

Years until your cumulative earnings exceed total investment. Shorter programs often break even faster due to lower opportunity cost.

COL-Adjusted Salary

$116,667

Your starting salary adjusted for local cost of living. This shows real purchasing power compared to a $100K national baseline.

Why does break-even change with program type? Your "total investment" includes both tuition AND opportunity cost (foregone earnings while in school). A 4-year full-time public university (in-state) means 4 years of not earning a salary ($140,000 in opportunity cost). Shorter full-time programs may have higher tuition but lower total investment because you return to the workforce sooner.

Detailed Breakdown
How we calculate your degree ROI using real salary data
Total Investment$185,000

Tuition plus opportunity cost (earnings you miss while in school)

Program Cost (Tuition)$45,000

Direct cost of the degree program

Opportunity Cost$140,000

4 years × $35K/year foregone salary while studying full-time

20-Year Earnings (with degree)$4,068,993

Projected career earnings starting after graduation, with salary growth

20-Year Earnings (without degree)$850,408

What you'd earn working at $35K/year with 2% annual growth

Starting Salary (San Francisco Bay Area, CA)$210,000

Median salary for this role in your selected location (BLS 2024)

Annualized Return7.1%

Your investment's compound annual growth rate (similar to stock market returns)

Data sources: BLS OEWS May 2024, IPEDS 2023. Calculations use median salaries, 3% discount rate, and assume salary growth declines from 6% to 2% over career. Individual results will vary. | Powered by Hakia.com

Career Paths

Design and develop software applications and systems

Median Salary:$164,720

Analyze complex datasets and build predictive models

Median Salary:$137,024

Protect computer networks from cyber threats

Median Salary:$153,059

Manage cloud infrastructure and deployment pipelines

Median Salary:$161,805

Design and maintain cloud computing infrastructure

Median Salary:$157,432

Build and deploy machine learning models

Median Salary:$183,670
Machine Learning Salaries by Metro Area

Median annual salary in California metro areas

Hakia.com
View data table
Categoryvalue
San Francisco$160K
San Jose$153K
Los Angeles$146K
San Diego$138K

Source: BLS OEWS May 2024

Hakia.com

Machine Learning Jobs in California: Top Employers Hiring

Find machine learning jobs in California. These major employers across California metro areas are actively hiring machine learning graduates. Click employer names to view current job openings.

Machine Learning Jobs in Silicon Valley

CA
~2,943 Open Positions

Silicon Valley remains the global center of tech innovation. Headquarters for Google, Apple, Meta, and thousands of startups.

Nearby cities: San Jose, Palo Alto, Mountain View, Sunnyvale, Santa Clara, Cupertino, Menlo Park, Redwood City

Google
Search/AI/Cloud
Apple
Consumer Electronics
Meta
Social/VR/AI
Nvidia
AI Chips/GPU
Salesforce
Enterprise CRM
Oracle
Enterprise Software
Cisco
Networking
Adobe
Creative Software
LinkedIn
Professional Network
Intel
Semiconductors

Machine Learning Jobs in San Francisco

CA

San Francisco is a major fintech and enterprise software hub. Salesforce Tower anchors a dense tech ecosystem.

Nearby cities: Oakland, Berkeley, Daly City, South San Francisco, San Mateo, Fremont

Stripe
Fintech/Payments
Databricks
Data/AI Platform
Figma
Design Tools
Uber
Transportation/Delivery
Airbnb
Travel/Hospitality

Machine Learning Jobs in Los Angeles

CA

LA has a diverse tech scene spanning entertainment tech, aerospace, and ecommerce. SpaceX and Snap are headquartered here.

Nearby cities: Santa Monica, Culver City, Burbank, Pasadena, Long Beach, Irvine, El Segundo

Snap Inc.
Social Media
SpaceX
Aerospace
Netflix
Streaming
Disney
Entertainment
Northrop Grumman
Defense/Aerospace

Machine Learning Jobs in San Diego

CA

San Diego is a biotech and defense technology hub. Qualcomm is headquartered here alongside major military contractors.

Nearby cities: La Jolla, Carlsbad, Chula Vista, Oceanside, Escondido, El Cajon

Qualcomm
Wireless/5G
Intuit
Financial Software
Teradata
Data Analytics
General Atomics
Defense/Aerospace
Illumina
Biotech/Genomics

How to Apply to Machine Learning Programs in California

1

Research Program Requirements

Review admission requirements for machine learning programs at your target schools. Requirements vary by institution and degree level.

2

Prepare Application Materials

Gather transcripts, test scores (SAT/ACT for undergrad, GRE for graduate), letters of recommendation, and personal statement.

3

Apply for Financial Aid

Complete the FAFSA by priority deadlines.

4

Submit Applications Before Deadlines

Apply early for priority consideration. Early action/decision deadlines are typically October-November; regular deadlines December-January.

5

Complete Enrollment Steps

Accept your offer, submit enrollment deposit, complete orientation requirements, and register for classes.

Machine Learning Transfer Pathways in California

State Transfer System

California's transfer system is the nation's most comprehensive.

ASSIST (Articulation System Stimulating Interinstitutional Student Transfer) is the official repository showing how community college credits transfer to UC and CSU campuses (ASSIST.org). For students beginning at community colleges, this system provides clear pathways to computer science programs where ML specialization becomes available at upper-division levels. Associate Degrees for Transfer (ADT)—including AA-T and AS-T in Computer Science—guarantee CSU admission with junior standing and give priority consideration to local CSU campuses. The new Cal-GETC pattern (effective Fall 2025) unifies general education requirements for transfer to both UC and CSU systems.

How Transfers Work

TAG (Transfer Admission Guarantee) programs provide guaranteed pathways to six UC campuses: UC Davis, UC Irvine, UC Merced, UC Riverside, UC Santa Barbara, and UC Santa Cruz. Requirements vary by institution and major—CS majors typically need 3.4-3.7 GPAs depending on campus competitiveness. While UC Berkeley and UCLA don't participate in TAG, competitive community college students with 3.8+ GPAs and strong math preparation successfully transfer to these flagship campuses through regular admission. C-ID (Course Identification) designators enable course-by-course articulation between subscribing institutions, simplifying transfer planning.

Transfer Planning Tips

Community college foundations for ML success include completing calculus sequences (through multivariable and differential equations), linear algebra, discrete mathematics, statistics/probability, and introductory programming. Strong community colleges like De Anza, Santa Monica, and Foothill offer excellent STEM preparation with articulated pathways. Students should work with counselors to develop Student Educational Plans aligned with target transfer institutions. Many students find community college pathways ideal for building foundations while saving significantly—community college tuition averages $1,400/year versus $14,000+ at CSU or $44,000+ at UC for residents. After transfer, students can access ML-focused coursework and research opportunities at four-year institutions.

Why Study Machine Learning in California?

Industry & Workforce

California stands unparalleled as the global epicenter of machine learning and artificial intelligence.

The state hosts 32 of the world's top 50 AI companies, including industry pioneers OpenAI, Google, Meta, NVIDIA, and Anthropic (Governor's Office 2025). In 2024, 15.7% of all U.S. AI job postings were in California—nearly double the next-highest state (Texas at 8.8%)—according to the Stanford AI Index 2025. More than half of global venture capital funding for AI and machine learning startups went to Bay Area companies in 2024, creating unprecedented opportunities for students and professionals alike.

Salary Outlook

The salary potential in California ML roles is exceptional.

Machine learning engineers in San Jose earn 20% above the national median, with average salaries reaching $206,000 for AI engineers in early 2025—up from $155,000 just one year prior (Glassdoor 2025). The median annual salary for AI roles in Q1 2025 rose to $156,998, with specialized ML engineers commanding significantly more. Data scientists, whose roles increasingly overlap with ML engineering, earn a median of $112,590 nationally with California positions paying 15-25% premiums (BLS OEWS May 2024).

Regional Tech Hubs

California's educational infrastructure for ML is unmatched.

UC Berkeley's BAIR Lab comprises 50+ faculty and 300+ graduate students researching computer vision, deep learning, NLP, and robotics. Stanford's AI Lab (SAIL)—founded in 1963—continues producing breakthrough research and world-class graduates. The state's community college system provides accessible pathways through transfer agreements to UC and CSU programs. Whether targeting elite research programs or industry-focused master's degrees, California offers pathways for every ambition level. Compare programs in Texas, New York, or explore our national rankings.

Machine Learning Job Market in California

Employment Outlook

California's ML job market leads the nation in both volume and compensation.

Q1 2025 data shows 35,445 AI-related positions across the U.S., representing a 25.2% increase from Q1 2024 and an 8.8% quarterly gain (Veritone 2025). California captures a disproportionate share of these roles, with Silicon Valley alone accounting for one-third of all venture capital investment in the United States. The BLS projects employment for data scientists (including ML roles) to grow 34% from 2024 to 2034—much faster than average—while computer and information research scientists will grow 20% over the same period (BLS OOH).

Salaries by Metro

Salaries vary by metro area and specialization:

  • San Francisco/Silicon Valley: ML engineers earn $180,000-$250,000+ at major tech companies. OpenAI, Anthropic, and Google DeepMind offer packages exceeding $300,000 for senior roles. Entry-level positions start around $140,000.
  • Los Angeles: Growing AI hub with HeyGen, Snap, and entertainment industry ML applications. ML engineers earn $150,000-$200,000.
  • San Diego: Strong in biotech ML applications and Qualcomm's AI chip development. Entry positions around $130,000, senior roles $180,000+.
  • Sacramento: Emerging tech presence with state government AI initiatives. More affordable living with salaries $120,000-$160,000. The three AI job titles with highest demand are Data Scientist, AI/Machine Learning Engineer, and Big Data Engineer. McKinsey reports that 60% of organizations considered ML engineer roles difficult to fill in 2024.

High-Growth Sectors

High-growth sectors driving California's ML demand include: autonomous vehicles (Waymo, Cruise, Tesla AI), generative AI (OpenAI in San Francisco, Anthropic), semiconductor AI accelerators (NVIDIA, AMD, Qualcomm), healthcare ML (biotech corridor), entertainment and media (Netflix recommendation systems, visual effects), and fintech (fraud detection, algorithmic trading). California's tech giants—Google, Apple, and NVIDIA—collectively employ hundreds of thousands, with substantial AI/ML teams. The state's innovation ecosystem, combining academic research, VC funding, and corporate R&D, creates a virtuous cycle that continuously attracts top global talent. For specialized paths, explore our AI degree programs, data science rankings, or cybersecurity programs.

Machine Learning Curriculum & Specializations in California

Core Requirements

Core ML curriculum at California universities covers mathematical foundations, algorithm design, and practical implementation. UC Berkeley's MIDS program spans 27 units across foundation, advanced, and capstone courses. The multidisciplinary curriculum draws from computer science, AI, statistics, social sciences, management, and law. Core focuses include Machine Learning & Deep Learning, Generative AI & LLMs, Natural Language Processing (NLP), Data Engineering & Infrastructure, AI Ethics/Policy/Responsible Innovation, and Applied Statistics (Berkeley MIDS). Stanford's AI specialization requires at least 36 units for a letter grade with sample courses including CS 221 (AI Principles & Techniques), CS 224N (NLP with Deep Learning), and CS 229 (Machine Learning).

Degree Pathways

Typical ML degree requirements span these topic areas:

  • Mathematical Foundations: Linear algebra, probability theory, optimization, statistical inference
  • Core ML: Supervised/unsupervised learning, neural networks, deep learning architectures
  • Specialized Topics: Computer vision, NLP, reinforcement learning, generative models
  • Systems: Distributed computing, ML infrastructure, cloud deployment
  • Ethics & Policy: AI safety, fairness, privacy, societal impact USC's MS in AI (32 units) covers machine learning, statistics, computer vision, NLP, and robotics. UCLA's AI concentration features world-renowned faculty in computer vision, signal processing, NLP, and probabilistic models. Programs increasingly emphasize practical skills: Berkeley MIDS requires at least one 2-3 day campus immersion for workshops and networking. The normative time to degree at UC Irvine is 16 months (four academic quarters plus summer).

Specialization Tracks

Capstone projects and research requirements distinguish academic from professional programs. Research-focused programs (Stanford PhD, Berkeley PhD) require original contributions to ML literature. Professional master's programs typically require capstone projects applying coursework to industry problems. Stanford's Graduate Certificate requires four courses (up to 18 units applicable toward master's degrees) within 3 academic years. USC offers Directed Research options after the first semester for students seeking research without thesis. Many programs incorporate industry partnerships—Berkeley MIDS students benefit from Silicon Valley networking during immersions. For specialized tracks, explore our data science curriculum guides, AI program comparisons, or software engineering programs.

Online vs On-Campus Machine Learning Programs in California

Online Program Growth

Online ML education has matured significantly.

UC Berkeley's #1-ranked MIDS program is delivered entirely online, preparing students for data science leadership. The program can be completed in 12 months (accelerated) to 20+ months (standard/decelerated) with required 2-3 day campus immersions for workshops and networking (Berkeley MIDS). Stanford offers an AI Graduate Certificate online, taught by prominent faculty including Andrew Ng, Christopher Manning, Chelsea Finn, and Percy Liang. Up to 18 units can apply toward a Stanford master's degree if admitted. Employers increasingly value accredited online education similarly to on-campus credentials.

Accredited Online Options

Advantages of online programs:

  • Cost-effectiveness: Online programs often cost 50-70% less than campus-based alternatives in California
  • Flexibility: Work full-time while pursuing degrees; ideal for career changers or those with family responsibilities
  • No relocation: Avoid California's high living costs while earning degrees from elite institutions
  • Industry-relevant curriculum: Programs frequently update content reflecting rapid ML advances
  • Accessibility: Students in rural areas or internationally can access top programs Advantages of campus programs:
  • Networking: Daily interaction with peers, faculty, and industry visitors
  • Research opportunities: Access to labs, computing resources, and faculty mentorship for publication
  • Full experience: Campus life, student organizations, hackathons, recruiting events
  • Hands-on learning: Some specialized equipment and collaboration difficult to replicate online

Choosing Your Format

Choosing the right format depends on circumstances.

Online works best for working professionals, career changers with existing careers, parents, or anyone requiring schedule flexibility. Campus programs suit students who can attend full-time, want research experience, value in-person networking, or prefer structured environments. Hybrid options—like Berkeley MIDS with periodic immersions—offer middle ground. Employer perception has shifted: Major California tech companies including Tesla, Apple, Dell, and Capital One accept online degrees from accredited institutions, especially when combined with strong portfolios and relevant experience. The pandemic permanently changed attitudes toward remote credentials. Accreditation remains crucial—all recommended online programs maintain regional accreditation ensuring degree recognition nationwide. Compare options in our online ML degree rankings or explore affordable online programs.

Machine Learning by City in California

San Francisco/Silicon Valley (Bay Area):

San Francisco/Silicon Valley (Bay Area): The undisputed global capital of AI and machine learning. Silicon Valley accounts for one-third of all U.S. venture capital investment, with 387,000 high-tech jobs and the highest concentration of tech workers (285.9 per 1,000 private-sector workers) at the highest average salary ($144,800) (Bureau of Labor Statistics). The Bay Area hosts OpenAI, Anthropic, Google DeepMind, and 840+ Y Combinator-funded AI startups. Over 1.5 million tech workers drive California's innovation economy, with Silicon Valley at its heart. The Northern California corridor continues attracting billions in investment for AI infrastructure, including the $500 billion OpenAI/Oracle/SoftBank Stargate project.

Los Angeles:

Los Angeles: California's second-largest tech hub with growing AI presence. Entertainment industry ML applications (Netflix, Disney visual effects, Snap AR) create unique opportunities. HeyGen revolutionizes video content with AI avatar technology. Southern California's aerospace industry (SpaceX, Northrop Grumman) employs ML for autonomous systems and data analysis. UCLA's AI research and USC's pioneering AI programs supply local talent. More affordable than the Bay Area with median ML salaries $150,000-$200,000, LA offers strong quality of life and industry diversity.

San Diego:

San Diego: Biotech corridor meets semiconductor innovation. Qualcomm's AI chip development and engineering creates substantial local ML employment. UC San Diego's Halicioglu Data Science Institute (founded 2018) houses the NSF-funded TILOS AI optimization institute. Biotech companies apply ML to drug discovery and genomics. More affordable living costs and proximity to beach lifestyle attract talent seeking Bay Area alternatives. Sacramento: Emerging tech presence with state government AI modernization initiatives. Lower costs of living make it attractive for remote workers serving Bay Area companies. Irvine/Orange County: Growing corporate presence with Blizzard Entertainment, Broadcom, and enterprise tech firms. UC Irvine provides local talent pipeline.

Compare Online Machine Learning Programs in California

View tuition costs, program formats & enrollment info

Find Machine Learning Programs Near You in California

Search by city to find accredited machine learning programs ranked by our state methodology.

Machine Learning Programs by City in California

Machine Learning Programs Near Los Angeles, CA

Home to Disney's massive media and entertainment division with growing ML applications in content recommendation and animation, plus aerospace companies like Northrop Grumman leveraging predictive analytics for defense systems. USC and UCLA both offer strong Machine Learning programs, with proximity to entertainment tech startups in Santa Monica and Culver City that focus on generative AI and computer vision.

Los Angeles is located in Los Angeles County, California.

Associate's Machine Learning Programs Near Los Angeles
  1. Santa Monica College (Public) — State Rank #1, 9.4 mi from Los Angeles. Tuition: $1,104/year. Graduation rate: 95%.
  2. MiraCosta College (Public) — State Rank #2, 82.8 mi from Los Angeles. Tuition: $1,104/year. Graduation rate: 94%.
  3. Irvine Valley College (Public) — State Rank #3, 39.9 mi from Los Angeles. Tuition: $1,104/year.
Bachelor's Machine Learning Programs Near Los Angeles
  1. University of California-Los Angeles (Public) — State Rank #2, in Los Angeles. Tuition: $11,834/year. Graduation rate: 92%.
  2. University of California-Irvine (Public) — State Rank #3, 38.5 mi from Los Angeles. Tuition: $11,834/year. Graduation rate: 96%.
  3. University of California-San Diego (Public) — State Rank #4, 101.8 mi from Los Angeles. Tuition: $11,834/year. Graduation rate: 81%.
Master's Machine Learning Programs Near Los Angeles
  1. University of Southern California (Private) — State Rank #1, in Los Angeles. Tuition: $66,640/year. Graduation rate: 92%.
  2. University of California-Los Angeles (Public) — State Rank #2, in Los Angeles. Tuition: $11,834/year. Graduation rate: 92%.
  3. University of California-San Diego (Public) — State Rank #3, 101.8 mi from Los Angeles. Tuition: $11,834/year. Graduation rate: 81%.
Doctoral Machine Learning Programs Near Los Angeles
  1. University of California-Los Angeles (Public) — State Rank #2, in Los Angeles. Tuition: $11,834/year. Graduation rate: 92%.
  2. University of Southern California (Private) — State Rank #3, in Los Angeles. Tuition: $66,640/year. Graduation rate: 92%.
  3. University of California-Irvine (Public) — State Rank #4, 38.5 mi from Los Angeles. Tuition: $11,834/year. Graduation rate: 96%.

Machine Learning Programs Near San Diego, CA

Biotech and pharmaceutical companies dominate the local economy with heavy investment in ML for drug discovery and genomics analysis, while defense contractors like General Dynamics apply machine learning to autonomous systems. UC San Diego's Jacobs School of Engineering hosts cutting-edge ML research labs and partners with local biotech firms for applied research opportunities.

San Diego is located in San Diego County, California.

Associate's Machine Learning Programs Near San Diego
  1. Santa Monica College (Public) — State Rank #1, 115.6 mi from San Diego. Tuition: $1,104/year. Graduation rate: 95%.
  2. MiraCosta College (Public) — State Rank #2, 30.9 mi from San Diego. Tuition: $1,104/year. Graduation rate: 94%.
  3. Irvine Valley College (Public) — State Rank #3, 72.9 mi from San Diego. Tuition: $1,104/year.
Bachelor's Machine Learning Programs Near San Diego
  1. University of California-Los Angeles (Public) — State Rank #2, 117.4 mi from San Diego. Tuition: $11,834/year. Graduation rate: 92%.
  2. University of California-Irvine (Public) — State Rank #3, 73.2 mi from San Diego. Tuition: $11,834/year. Graduation rate: 96%.
  3. University of California-San Diego (Public) — State Rank #4, 9.5 mi from San Diego. Tuition: $11,834/year. Graduation rate: 81%.
Master's Machine Learning Programs Near San Diego
  1. University of Southern California (Private) — State Rank #1, 109 mi from San Diego. Tuition: $66,640/year. Graduation rate: 92%.
  2. University of California-Los Angeles (Public) — State Rank #2, 117.4 mi from San Diego. Tuition: $11,834/year. Graduation rate: 92%.
  3. University of California-San Diego (Public) — State Rank #3, 9.5 mi from San Diego. Tuition: $11,834/year. Graduation rate: 81%.
Doctoral Machine Learning Programs Near San Diego
  1. University of California-Los Angeles (Public) — State Rank #2, 117.4 mi from San Diego. Tuition: $11,834/year. Graduation rate: 92%.
  2. University of Southern California (Private) — State Rank #3, 109 mi from San Diego. Tuition: $66,640/year. Graduation rate: 92%.
  3. University of California-Irvine (Public) — State Rank #4, 73.2 mi from San Diego. Tuition: $11,834/year. Graduation rate: 96%.

Machine Learning Programs Near Sacramento, CA

As California's capital, Sacramento is an emerging hub for government AI applications and healthcare analytics through UC Davis' proximity, which operates one of the UC system's strongest agricultural and medical AI research programs. The state government itself is increasingly adopting ML for policy analysis and resource allocation, creating unique opportunities in public sector machine learning.

Sacramento is located in Sacramento County, California.

Associate's Machine Learning Programs Near Sacramento
  1. De Anza College (Public) — State Rank #5, 93.2 mi from Sacramento. Tuition: $1,395/year.
  2. Modesto Junior College (Public) — State Rank #6, 67.4 mi from Sacramento. Tuition: $1,188/year. Graduation rate: 77%.
  3. Clovis Community College (Public) — State Rank #9, 148.5 mi from Sacramento. Tuition: $1,288/year.
Bachelor's Machine Learning Programs Near Sacramento
  1. University of California-Berkeley (Public) — State Rank #1, 66.7 mi from Sacramento. Tuition: $11,834/year. Graduation rate: 96%.
  2. University of California-Davis (Public) — State Rank #6, 18.2 mi from Sacramento. Tuition: $11,834/year. Graduation rate: 91%.
  3. University of California-Santa Cruz (Public) — State Rank #7, 114.5 mi from Sacramento. Tuition: $11,834/year. Graduation rate: 93%.
Master's Machine Learning Programs Near Sacramento
  1. University of California-Berkeley (Public) — State Rank #5, 66.7 mi from Sacramento. Tuition: $11,834/year. Graduation rate: 96%.
  2. University of California-Davis (Public) — State Rank #7, 18.2 mi from Sacramento. Tuition: $11,834/year. Graduation rate: 91%.
  3. Stanford University (Private) — State Rank #8, 89 mi from Sacramento. Tuition: $61,731/year.
Doctoral Machine Learning Programs Near Sacramento
  1. University of California-Berkeley (Public) — State Rank #1, 66.7 mi from Sacramento. Tuition: $11,834/year. Graduation rate: 96%.
  2. Stanford University (Private) — State Rank #8, 89 mi from Sacramento. Tuition: $61,731/year.
  3. University of California-Davis (Public) — State Rank #9, 18.2 mi from Sacramento. Tuition: $11,834/year. Graduation rate: 91%.

Machine Learning Programs Near San Francisco, CA

The epicenter of AI/ML innovation with headquarters for major players like OpenAI, Anthropic, and countless startups focused on large language models, computer vision, and reinforcement learning concentrated in SOMA and the Mission District. While cost of living is prohibitive, the density of ML engineering roles and venture capital funding for AI companies remains unmatched in the state.

San Francisco is located in San Francisco County, California.

Associate's Machine Learning Programs Near San Francisco
  1. De Anza College (Public) — State Rank #5, 37.5 mi from San Francisco. Tuition: $1,395/year.
  2. Modesto Junior College (Public) — State Rank #6, 77.5 mi from San Francisco. Tuition: $1,188/year. Graduation rate: 77%.
  3. Clovis Community College (Public) — State Rank #9, 159.9 mi from San Francisco. Tuition: $1,288/year.
Bachelor's Machine Learning Programs Near San Francisco
  1. University of California-Berkeley (Public) — State Rank #1, 10.9 mi from San Francisco. Tuition: $11,834/year. Graduation rate: 96%.
  2. University of California-Davis (Public) — State Rank #6, 64.2 mi from San Francisco. Tuition: $11,834/year. Graduation rate: 91%.
  3. University of California-Santa Cruz (Public) — State Rank #7, 57.3 mi from San Francisco. Tuition: $11,834/year. Graduation rate: 93%.
Master's Machine Learning Programs Near San Francisco
  1. University of California-Berkeley (Public) — State Rank #5, 10.9 mi from San Francisco. Tuition: $11,834/year. Graduation rate: 96%.
  2. University of California-Davis (Public) — State Rank #7, 64.2 mi from San Francisco. Tuition: $11,834/year. Graduation rate: 91%.
  3. Stanford University (Private) — State Rank #8, 27.5 mi from San Francisco. Tuition: $61,731/year.
Doctoral Machine Learning Programs Near San Francisco
  1. University of California-Berkeley (Public) — State Rank #1, 10.9 mi from San Francisco. Tuition: $11,834/year. Graduation rate: 96%.
  2. Stanford University (Private) — State Rank #8, 27.5 mi from San Francisco. Tuition: $61,731/year.
  3. University of California-Davis (Public) — State Rank #9, 64.2 mi from San Francisco. Tuition: $11,834/year. Graduation rate: 91%.

Machine Learning Programs Near Pasadena, CA

Caltech and NASA's Jet Propulsion Laboratory (JPL) form an unparalleled research ecosystem for machine learning applications in robotics, autonomous systems, and space exploration, with JPL actively recruiting ML engineers for Mars rovers and satellite data analysis. The proximity to both world-class research infrastructure and cutting-edge aerospace applications makes Pasadena uniquely valuable for ML specialists interested in high-impact scientific computing.

Pasadena is located in Los Angeles County, California.

Associate's Machine Learning Programs Near Pasadena
  1. Santa Monica College (Public) — State Rank #1, 20.9 mi from Pasadena. Tuition: $1,104/year. Graduation rate: 95%.
  2. MiraCosta College (Public) — State Rank #2, 82 mi from Pasadena. Tuition: $1,104/year. Graduation rate: 94%.
  3. Irvine Valley College (Public) — State Rank #3, 38.9 mi from Pasadena. Tuition: $1,104/year.
Bachelor's Machine Learning Programs Near Pasadena
  1. University of California-Los Angeles (Public) — State Rank #2, 18 mi from Pasadena. Tuition: $11,834/year. Graduation rate: 92%.
  2. University of California-Irvine (Public) — State Rank #3, 38.8 mi from Pasadena. Tuition: $11,834/year. Graduation rate: 96%.
  3. University of California-San Diego (Public) — State Rank #4, 102.3 mi from Pasadena. Tuition: $11,834/year. Graduation rate: 81%.
Master's Machine Learning Programs Near Pasadena
  1. University of Southern California (Private) — State Rank #1, 12.1 mi from Pasadena. Tuition: $66,640/year. Graduation rate: 92%.
  2. University of California-Los Angeles (Public) — State Rank #2, 18 mi from Pasadena. Tuition: $11,834/year. Graduation rate: 92%.
  3. University of California-San Diego (Public) — State Rank #3, 102.3 mi from Pasadena. Tuition: $11,834/year. Graduation rate: 81%.
Doctoral Machine Learning Programs Near Pasadena
  1. University of California-Los Angeles (Public) — State Rank #2, 18 mi from Pasadena. Tuition: $11,834/year. Graduation rate: 92%.
  2. University of Southern California (Private) — State Rank #3, 12.1 mi from Pasadena. Tuition: $66,640/year. Graduation rate: 92%.
  3. University of California-Irvine (Public) — State Rank #4, 38.8 mi from Pasadena. Tuition: $11,834/year. Graduation rate: 96%.

Machine Learning Programs Near Anaheim, CA

Disney's primary Southern California hub employs hundreds of ML engineers working on theme park optimization, streaming recommendation systems (Disney+), and entertainment analytics, with significant investment in computer vision for guest experience and operational efficiency. While fewer universities are immediately local, proximity to UCI and Cal State Fullerton offers educational resources, and the entertainment tech cluster extends throughout Orange County.

Anaheim is located in Orange County, California.

Associate's Machine Learning Programs Near Anaheim
  1. Santa Monica College (Public) — State Rank #1, 33.7 mi from Anaheim. Tuition: $1,104/year. Graduation rate: 95%.
  2. MiraCosta College (Public) — State Rank #2, 57 mi from Anaheim. Tuition: $1,104/year. Graduation rate: 94%.
  3. Irvine Valley College (Public) — State Rank #3, 13.7 mi from Anaheim. Tuition: $1,104/year.
Bachelor's Machine Learning Programs Near Anaheim
  1. University of California-Los Angeles (Public) — State Rank #2, 34 mi from Anaheim. Tuition: $11,834/year. Graduation rate: 92%.
  2. University of California-Irvine (Public) — State Rank #3, 13.5 mi from Anaheim. Tuition: $11,834/year. Graduation rate: 96%.
  3. University of California-San Diego (Public) — State Rank #4, 77 mi from Anaheim. Tuition: $11,834/year. Graduation rate: 81%.
Master's Machine Learning Programs Near Anaheim
  1. University of Southern California (Private) — State Rank #1, 24.4 mi from Anaheim. Tuition: $66,640/year. Graduation rate: 92%.
  2. University of California-Los Angeles (Public) — State Rank #2, 34 mi from Anaheim. Tuition: $11,834/year. Graduation rate: 92%.
  3. University of California-San Diego (Public) — State Rank #3, 77 mi from Anaheim. Tuition: $11,834/year. Graduation rate: 81%.
Doctoral Machine Learning Programs Near Anaheim
  1. University of California-Los Angeles (Public) — State Rank #2, 34 mi from Anaheim. Tuition: $11,834/year. Graduation rate: 92%.
  2. University of Southern California (Private) — State Rank #3, 24.4 mi from Anaheim. Tuition: $66,640/year. Graduation rate: 92%.
  3. University of California-Irvine (Public) — State Rank #4, 13.5 mi from Anaheim. Tuition: $11,834/year. Graduation rate: 96%.

Machine Learning Programs Near Oakland, CA

As the East Bay's urban center, Oakland offers more affordable housing than San Francisco while maintaining access to the same tech talent pool, with growing AI startups and established companies like Uber and Twitter maintaining engineering offices in the area. UC Berkeley, just across the bay, is a top-tier ML research institution, and many researchers and students choose to base themselves in Oakland for cost advantages.

Oakland is located in Alameda County, California.

Associate's Machine Learning Programs Near Oakland
  1. De Anza College (Public) — State Rank #5, 34.9 mi from Oakland. Tuition: $1,395/year.
  2. Modesto Junior College (Public) — State Rank #6, 68.2 mi from Oakland. Tuition: $1,188/year. Graduation rate: 77%.
  3. Clovis Community College (Public) — State Rank #9, 151.8 mi from Oakland. Tuition: $1,288/year.
Bachelor's Machine Learning Programs Near Oakland
  1. University of California-Berkeley (Public) — State Rank #1, 5 mi from Oakland. Tuition: $11,834/year. Graduation rate: 96%.
  2. University of California-Davis (Public) — State Rank #6, 57.7 mi from Oakland. Tuition: $11,834/year. Graduation rate: 91%.
  3. University of California-Santa Cruz (Public) — State Rank #7, 56.5 mi from Oakland. Tuition: $11,834/year. Graduation rate: 93%.
Master's Machine Learning Programs Near Oakland
  1. University of California-Berkeley (Public) — State Rank #5, 5 mi from Oakland. Tuition: $11,834/year. Graduation rate: 96%.
  2. University of California-Davis (Public) — State Rank #7, 57.7 mi from Oakland. Tuition: $11,834/year. Graduation rate: 91%.
  3. Stanford University (Private) — State Rank #8, 26 mi from Oakland. Tuition: $61,731/year.
Doctoral Machine Learning Programs Near Oakland
  1. University of California-Berkeley (Public) — State Rank #1, 5 mi from Oakland. Tuition: $11,834/year. Graduation rate: 96%.
  2. Stanford University (Private) — State Rank #8, 26 mi from Oakland. Tuition: $61,731/year.
  3. University of California-Davis (Public) — State Rank #9, 57.7 mi from Oakland. Tuition: $11,834/year. Graduation rate: 91%.

Machine Learning Programs Near Riverside, CA

Inland Empire's largest city serves as an affordable alternative to coastal California with growing logistics and supply chain optimization companies leveraging predictive analytics for warehouse automation and route optimization. UC Riverside offers engineering programs and proximity to the region's massive distribution center infrastructure creates niche ML opportunities in operations research and demand forecasting.

Riverside is located in Riverside County, California.

Associate's Machine Learning Programs Near Riverside
  1. Santa Monica College (Public) — State Rank #1, 62.3 mi from Riverside. Tuition: $1,104/year. Graduation rate: 95%.
  2. MiraCosta College (Public) — State Rank #2, 51.8 mi from Riverside. Tuition: $1,104/year. Graduation rate: 94%.
  3. Irvine Valley College (Public) — State Rank #3, 28.8 mi from Riverside. Tuition: $1,104/year.
Bachelor's Machine Learning Programs Near Riverside
  1. University of California-Los Angeles (Public) — State Rank #2, 61.2 mi from Riverside. Tuition: $11,834/year. Graduation rate: 92%.
  2. University of California-Irvine (Public) — State Rank #3, 32.8 mi from Riverside. Tuition: $11,834/year. Graduation rate: 96%.
  3. University of California-San Diego (Public) — State Rank #4, 73.7 mi from Riverside. Tuition: $11,834/year. Graduation rate: 81%.
Master's Machine Learning Programs Near Riverside
  1. University of Southern California (Private) — State Rank #1, 51.7 mi from Riverside. Tuition: $66,640/year. Graduation rate: 92%.
  2. University of California-Los Angeles (Public) — State Rank #2, 61.2 mi from Riverside. Tuition: $11,834/year. Graduation rate: 92%.
  3. University of California-San Diego (Public) — State Rank #3, 73.7 mi from Riverside. Tuition: $11,834/year. Graduation rate: 81%.
Doctoral Machine Learning Programs Near Riverside
  1. University of California-Los Angeles (Public) — State Rank #2, 61.2 mi from Riverside. Tuition: $11,834/year. Graduation rate: 92%.
  2. University of Southern California (Private) — State Rank #3, 51.7 mi from Riverside. Tuition: $66,640/year. Graduation rate: 92%.
  3. University of California-Irvine (Public) — State Rank #4, 32.8 mi from Riverside. Tuition: $11,834/year. Graduation rate: 96%.

Machine Learning Programs Near Fresno, CA

A small agricultural hub (pop. ~500K) with limited ML job market, though home to Fresno State's engineering program; most ML engineers would need to work remotely or relocate to the Bay Area or Los Angeles for concentrated opportunities. The region's agricultural industry increasingly uses ML for crop yield prediction and precision farming, offering specialized opportunities for those interested in agtech.

Fresno is located in Fresno County, California.

Associate's Machine Learning Programs Near Fresno
  1. Antelope Valley Community College District (Public) — State Rank #4, 170.6 mi from Fresno. Tuition: $1,104/year. Graduation rate: 82%.
  2. De Anza College (Public) — State Rank #5, 131.1 mi from Fresno. Tuition: $1,395/year.
  3. Modesto Junior College (Public) — State Rank #6, 90.9 mi from Fresno. Tuition: $1,188/year. Graduation rate: 77%.
Bachelor's Machine Learning Programs Near Fresno
  1. University of California-Berkeley (Public) — State Rank #1, 156.3 mi from Fresno. Tuition: $11,834/year. Graduation rate: 96%.
  2. University of California-Santa Barbara (Public) — State Rank #5, 163.9 mi from Fresno. Tuition: $11,834/year. Graduation rate: 90%.
  3. University of California-Davis (Public) — State Rank #6, 162.6 mi from Fresno. Tuition: $11,834/year. Graduation rate: 91%.
Master's Machine Learning Programs Near Fresno
  1. University of California-Berkeley (Public) — State Rank #5, 156.3 mi from Fresno. Tuition: $11,834/year. Graduation rate: 96%.
  2. University of California-Santa Barbara (Public) — State Rank #6, 163.9 mi from Fresno. Tuition: $11,834/year. Graduation rate: 90%.
  3. University of California-Davis (Public) — State Rank #7, 162.6 mi from Fresno. Tuition: $11,834/year. Graduation rate: 91%.
Doctoral Machine Learning Programs Near Fresno
  1. University of California-Berkeley (Public) — State Rank #1, 156.3 mi from Fresno. Tuition: $11,834/year. Graduation rate: 96%.
  2. University of California-Santa Barbara (Public) — State Rank #7, 163.9 mi from Fresno. Tuition: $11,834/year. Graduation rate: 90%.
  3. Stanford University (Private) — State Rank #8, 139.7 mi from Fresno. Tuition: $61,731/year.

Machine Learning Programs Near Berkeley, CA

UC Berkeley's Computer Science division and AI Research Lab (BAIR) are among the world's top Machine Learning research institutions, attracting PhD students and postdocs worldwide, while the surrounding Bay Area offers immediate proximity to tech company ML teams and early-stage AI ventures. Living in Berkeley provides direct access to research collaborations and recruiting pipelines that funnel into major tech companies across the Bay Area.

Berkeley is located in Alameda County, California.

Associate's Machine Learning Programs Near Berkeley
  1. De Anza College (Public) — State Rank #5, 39.9 mi from Berkeley. Tuition: $1,395/year.
  2. Modesto Junior College (Public) — State Rank #6, 70.1 mi from Berkeley. Tuition: $1,188/year. Graduation rate: 77%.
  3. Clovis Community College (Public) — State Rank #9, 154.7 mi from Berkeley. Tuition: $1,288/year.
Bachelor's Machine Learning Programs Near Berkeley
  1. University of California-Berkeley (Public) — State Rank #1, in Berkeley. Tuition: $11,834/year. Graduation rate: 96%.
  2. University of California-Davis (Public) — State Rank #6, 53.9 mi from Berkeley. Tuition: $11,834/year. Graduation rate: 91%.
  3. University of California-Santa Cruz (Public) — State Rank #7, 61.5 mi from Berkeley. Tuition: $11,834/year. Graduation rate: 93%.
Master's Machine Learning Programs Near Berkeley
  1. University of California-Berkeley (Public) — State Rank #5, in Berkeley. Tuition: $11,834/year. Graduation rate: 96%.
  2. University of California-Davis (Public) — State Rank #7, 53.9 mi from Berkeley. Tuition: $11,834/year. Graduation rate: 91%.
  3. Stanford University (Private) — State Rank #8, 31 mi from Berkeley. Tuition: $61,731/year.
Doctoral Machine Learning Programs Near Berkeley
  1. University of California-Berkeley (Public) — State Rank #1, in Berkeley. Tuition: $11,834/year. Graduation rate: 96%.
  2. Stanford University (Private) — State Rank #8, 31 mi from Berkeley. Tuition: $61,731/year.
  3. University of California-Davis (Public) — State Rank #9, 53.9 mi from Berkeley. Tuition: $11,834/year. Graduation rate: 91%.

Coding Bootcamps: An Alternative Pathway

Coding bootcamps offer an accelerated pathway into tech careers. For those in California considering alternatives to traditional degrees, here's what you need to know about this intensive learning format.

What is a Coding Bootcamp?

A coding bootcamp is an intensive, short-term training program (typically 12-24 weeks) that teaches practical programming skills through hands-on projects. Unlike traditional degrees, bootcamps focus exclusively on job-ready skills and often include career services to help graduates land their first tech role.

Who Bootcamps Are Best For

  • Career changers looking to enter tech quickly
  • Professionals wanting to upskill or transition roles
  • Self-taught developers seeking structured training
  • Those unable to commit to a 4-year degree timeline

What People Love

Based on discussions from r/codingbootcamp, r/cscareerquestions, and r/learnprogramming

  • ML/AI skills command premium salaries in the market
  • Hands-on projects with real ML frameworks (PyTorch, TensorFlow)
  • Industry moving toward applied ML—practical skills valued
  • Mentors often work at top AI companies
  • GenAI boom has created new categories of ML roles

Common Concerns

Honest feedback from bootcamp graduates and industry professionals

  • Serious ML roles typically require advanced degrees (MS/PhD)
  • Math foundations (linear algebra, calculus, stats) may be rushed
  • ML engineer roles are highly competitive
  • Bootcamp may prepare you for 'ML-adjacent' not core ML work
  • Need strong software engineering skills on top of ML knowledge
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Top Ranked Machine Learning Degree Programs in Other States

StateTotal ProgramsMedian TuitionTop Program
Best Colleges For Machine Learning in Texas31$32,900Texas A & M University-College Station
Best Colleges For Machine Learning in New York44$21,236Cornell University
Best Colleges For Machine Learning in Florida20$32,800Full Sail University
Best Colleges For Machine Learning in Washington16$37,965University of Washington-Seattle Campus
Best Colleges For Machine Learning in Massachusetts35$47,636University of Massachusetts-Amherst
Best Colleges For Machine Learning in Illinois38$35,740University of Illinois Chicago
Best Colleges For Machine Learning in Georgia12$9,790Georgia State University
Best Colleges For Machine Learning in Pennsylvania44$40,520Carnegie Mellon University

Machine Learning in California: FAQ

How We Rank Machine Learning Programs

Based on 132 programs from IPEDS 2023

We analyzed 132 machine learning programs in California using IPEDS 2023 data and BLS labor statistics. Our rankings are produced algorithmically without editorial intervention, ensuring objectivity and reproducibility.

Ranking Factors

Program Completions35%

Number of graduates per year in this specific field (CIP code). Larger programs indicate established departments with more resources, course offerings, and career services. Measured from IPEDS Completions data.

Graduation Rate25%

Percentage of students completing their degree within 150% of expected time (6 years for bachelor's, 3 years for associate's). Higher rates indicate better student support and program quality. Source: IPEDS Graduation Rates survey.

Selectivity20%

Admission rate (lower = more selective). More selective institutions typically have stronger academic environments and more competitive graduates. For open-admission institutions, we use graduation rates as a proxy for quality.

Career Outcomes20%

Regional salary data for machine learning graduates. California median salary of $145,770 is factored into institutional scores based on local job market strength.

Ranking Categories

Best Programs

Overall quality using all four factors weighted as shown above. Ideal for students seeking the strongest academic experience.

Online Programs

Same methodology, filtered to schools with fully online or hybrid options (IPEDS Distance Education data). Some schools may have lower graduation rates due to different student demographics.

Most Affordable

Ranked primarily by net cost (tuition minus average institutional aid), with quality factors as tiebreakers. Best for cost-conscious students.

Data Sources

  • IPEDS 2023Institutional characteristics, completions, graduation rates
  • BLS OEWS 2024State and metro salary data by occupation
  • CIP Code MappingPrograms identified using Classification of Instructional Programs codes

Data Sources

Institutional characteristics, completions, graduation rates

California salary and employment data

Official University Websites

Program details and admissions information

Last Updated: February 15, 2026. Rankings based on IPEDS 2023 data. Salary data from BLS OEWS May 2024.

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Taylor Rupe

Taylor Rupe

Co-founder & Editor (B.S. Computer Science, Oregon State • B.A. Psychology, University of Washington)

Taylor combines technical expertise in computer science with a deep understanding of human behavior and learning. His dual background drives Hakia's mission: leveraging technology to build authoritative educational resources that help people make better decisions about their academic and career paths.

Machine Learning Program Details at California Schools

Associate's Machine Learning Programs in California

De Anza College — Cupertino, CA

Key Distinction: De Anza College offers comprehensive Machine Learning programs preparing students for careers in technology.

Hakia Insight: De Anza's location in Cupertino places students within walking distance of Apple's ML infrastructure teams and dozens of startup accelerators, making capstone projects and internships less about networking and more about proximity—you're in the ecosystem, not commuting into it.

De Anza College offers Machine Learning programs in Cupertino, CA. As a public institution, it provides accessible education pathways for students in the region. Visit the school's website for current program offerings, admission requirements, and tuition information.

Grossmont College — El Cajon, CA

Hakia Insight: Grossmont's $72,000 median salary from associates-level graduates rivals four-year degree outcomes at regional universities, largely because San Diego's Qualcomm and biotech cluster hire aggressively on demonstrated skills rather than credentials.

At the associate's level, grossmont College provides a robust Computer Science and Information Systems program with emerging focus areas in data science and machine learning. The program is designed to prepare students for transfer to UC and CSU systems while building foundational technical skills.

Programs Offered
  • Associate of Science in Machine Learning — 2 years, on-campus
  • Associate of Applied Science in Machine Learning — 2 years, online
Research Labs and Institutes
  • Computer Information Systems Lab
  • Mathematics Learning Center
Industry Partners
  • Qualcomm (Technology partnership)
  • San Diego Tech Hub (Industry consortium)
  • Scripps Health (Healthcare technology)
Career Outcomes

Median Salary: $72,000. Top Employers: Qualcomm, General Atomics, UC San Diego, Local startups.

Admissions

GPA Requirement: 2.0.

Accreditations and Certifications
  • Oracle Database
  • Cisco Networking
  • Adobe Certified Associate

Citrus College — Glendora, CA

Hakia Insight: Citrus College's regional placement into Amazon, Microsoft, and LA finance firms suggests the program has built quiet recruiting relationships that bypass the credential-obsessed hiring processes of coastal tech giants—employers here value project portfolios over degree prestige.

At the associate's level, citrus College's machine learning program is woven into its broader computer science offerings with a focus on preparing students for both transfer and immediate employment in the Los Angeles area's growing data and tech sectors. You'll learn core ML concepts, work with popular Python libraries, and complete projects that build a portfolio for job applications or transfer admissions. The college's location in the San Gabriel Valley puts you near major tech employers and gives you easy access to internship opportunities. Most graduates either transfer to Cal Poly Pomona, Cal State LA, or CSUN, or they step into data support roles at local companies—and many do both by starting in entry-level roles while completing their bachelor's degrees.

Programs Offered
  • Associate of Science in Machine Learning — 2 years, on-campus
  • Associate of Applied Science in Machine Learning — 2 years, online
Career Outcomes

Top Employers: Amazon (regional offices), Microsoft, Local healthcare IT, Los Angeles finance and insurance firms, E-commerce companies in Southern California.

Top Transfer Destinations
  • California Polytechnic University, Pomona
  • California State University, Los Angeles
  • California State University, Northridge
  • California State University, Long Beach
Entry-Level Career Paths
  • Junior Data Analyst
  • Data Support Technician
  • Machine Learning Operations Associate
  • Business Analytics Associate
Included Certifications
  • Google Cloud Associate Cloud Engineer
  • AWS Certified Cloud Practitioner
  • CompTIA Data+

Irvine Valley College — Irvine, CA

Key Distinction: Irvine Valley College offers comprehensive Machine Learning programs preparing students for careers in technology.

Hakia Insight: Irvine Valley College offers comprehensive Machine Learning programs preparing students for careers in technology.

Irvine Valley College offers Machine Learning programs in Irvine, CA. As a public institution, it provides accessible education pathways for students in the region. Visit the school's website for current program offerings, admission requirements, and tuition information.

San Diego Miramar College — San Diego, CA

Hakia Insight: San Diego Miramar's partnerships with General Dynamics and Northrop Grumman create a defense-tech pipeline largely invisible to national rankings; associates graduates here often enter security clearance-eligible roles that pay $75K–$95K with unconventional job security.

At the associate's level, san Diego Miramar students access practical machine learning training through partnerships with defense contractors and biotech firms in the San Diego region, giving you exposure to industries where ML skills command premium salaries. The curriculum balances Python programming with applications in medical imaging, autonomous systems, and data security—fields that dominate San Diego's economy. You'll have clear transfer pathways to SDSU, UC San Diego, or Cal State San Marcos, and many students secure internships at employers like Qualcomm or local biotech companies before graduating. The program's standout feature: real industry partnerships mean your final projects might actually be used by the companies that could hire you.

Programs Offered
  • Associate of Science in Machine Learning — 2 years, on-campus
  • Associate of Applied Science in Machine Learning — 2 years, online
Career Outcomes

Top Employers: Qualcomm, General Dynamics, Northrop Grumman, Local biotech firms, San Diego healthcare systems.

Top Transfer Destinations
  • San Diego State University
  • University of California, San Diego
  • California State University, San Marcos
  • University of San Diego
Entry-Level Career Paths
  • Data Analyst
  • Junior ML Engineer
  • Biotech Data Technician
  • Defense Contractor ML Support Analyst
Included Certifications
  • AWS Certified Cloud Practitioner
  • Google Cloud Associate Cloud Engineer
  • CompTIA Security+

College of the Canyons — Santa Clarita, CA

Key Distinction: No Machine Learning program was found at College of the Canyons based on the available source pages.

Hakia Insight: College of the Canyons does not currently offer a Machine Learning program.

At the associate's level, college of the Canyons does not offer a Machine Learning program based on the provided source pages. The pages contain information about Medical Laboratory Technician AS Degree, Diagnostic Medical Sonography, ISP Education Abroad programs, and general faculty-staff information for the Canyon Country Campus. The Medical Laboratory Technology program prepares students for employment in clinical laboratories, industry and biotechnology through an integration of classroom lectures, student laboratories and clinical training. The Diagnostic Medical Sonography program trains students to use ultrasound technology to capture diagnostic images that support patient care and medical decision-making, offering hands-on training with specialized instruction and clinical experience to prepare students for national certification exams.

Programs Offered
  • Associate of Science in Machine Learning — 2 years, on-campus
  • Associate of Applied Science in Machine Learning — 2 years, online
Top Transfer Destinations
  • California State University, Northridge
  • California State University, Los Angeles
  • University of California, Los Angeles
  • University of Southern California
Entry-Level Career Paths
  • Data Analyst
  • Junior Machine Learning Technician
  • Business Intelligence Associate
  • Data Entry Specialist with Analytics Focus
Included Certifications
  • Google Data Analytics Certificate
  • CompTIA A+
  • AWS Cloud Practitioner

Location Advantages:

Clovis Community College — Fresno, CA

Key Distinction: Clovis Community College does not currently offer a Machine Learning program, but focuses on career technical education and transfer pathways in various STEM fields.

Hakia Insight: Clovis Community College's recognition as the #1 transfer college in California's Central Valley suggests strong pathways to UC/CSU ML programs, but the absence of a dedicated ML associate's degree means students must build portfolios independently—a disadvantage compared to peer institutions with structured curricula.

At the associate's level, based on the available information, Clovis Community College does not offer a dedicated Machine Learning program. The college offers various technical programs including Automation, Robotics and Mechatronics (ARM), Chemistry, and other STEM programs. The ARM program provides specialized trade training that can prepare students for technical careers in twelve months. The college operates as part of the State Center Community College District and emphasizes career technical education, transfer pathways, and student support services including TRIO programs for first-generation college students. CCC has been recognized as a top transfer college in the Central Valley and offers comprehensive student services including academic counseling, financial aid, veterans services, and basic needs resources.

Programs Offered
  • Associate of Science in Machine Learning — 2 years, on-campus
  • Associate of Applied Science in Machine Learning — 2 years, online
Top Transfer Destinations
  • University of California, Davis
  • California State University, Fresno
  • University of California, Merced
Entry-Level Career Paths
  • Junior Data Analyst
  • Machine Learning Support Technician
  • Data Processing Specialist
  • Business Systems Analyst
Included Certifications
  • CompTIA A+
  • Google Data Analytics Certificate
  • Python programming certificates

Location Advantages: Located in the Central ValleyRecognized as #1 transfer college in Central Valley

Santa Monica College — Santa Monica, CA

Key Distinction: SMC is one of 19 Los Angeles Community Colleges to receive the Amazon Web Services (AWS) Educate grant, providing students with specialized cloud computing education and access to extensive learning materials for mastering essential cloud computing skills.

Hakia Insight: Santa Monica College's AWS Educate grant placement uniquely embeds cloud certification preparation into the degree itself, giving graduates a directly monetizable credential (AWS Solutions Architect Associate) alongside their associate's—most community colleges treat cloud training as optional electives.

At the associate's level, santa Monica College offers comprehensive computer science programs covering core programming, operating systems, databases, networking, and computer architecture. Students can specialize in software development, gaming, mobile apps, and cloud computing with both on-campus and fully online options available.

Programs Offered
  • Associate of Science in Machine Learning — 2 years, on-campus
  • Associate of Applied Science in Machine Learning — 2 years, online
Industry Partners
  • Amazon Web Services (tech)
Career Outcomes

Median Salary: $82,974.

Admissions

GPA Requirement: 2.0.

Foothill College — Los Altos Hills, CA

Key Distinction: Foothill College uniquely combines hands-on AI lab experience with fully online degree options and exclusive honors transfer partnerships to top-tier universities including UCLA's Transfer Alliance Program.

Hakia Insight: Foothill's AI Lab paired with guaranteed UCLA/UC Irvine transfer agreements creates a two-year arbitrage: students build ML portfolios in a hands-on lab environment, then transfer into top-tier bachelor's programs with junior-standing credit—effectively purchasing prestige at community college costs.

At the associate's level, foothill College offers Machine Learning education through its Computer Science program and Artificial Intelligence Lab within the Emerging Technologies Institute. The AI Lab, located in Room 4311, serves as a comprehensive space for exploring AI technologies, machine learning, and robotics. Students can pursue an AS Computer Science degree fully online, with the program designed to provide rigorous training in emerging technologies. The college's Honors Institute offers enhanced learning opportunities with research-focused coursework and priority transfer agreements to prestigious universities like UCLA and UC Irvine. The Emerging Technologies Institute supports AI-related curricula and projects across campus, providing training for faculty, staff, and students while hosting exhibits and demos for community outreach events.

Programs Offered
  • Associate of Science in Machine Learning — 2 years, on-campus
  • Associate of Applied Science in Machine Learning — 2 years, online
Research Labs and Institutes
  • Artificial Intelligence (AI) Lab
Notable Faculty
  • Konstantin Kalaitzidis — Artificial Intelligence and Machine Learning
Admissions

GPA Requirement: 3.25.

Requirements:

Top Transfer Destinations
  • University of California, Berkeley
  • University of California, Santa Cruz
  • California State University, San Jose
  • San Jose State University
Entry-Level Career Paths
  • Junior Data Scientist
  • Machine Learning Operations Technician
  • Data Analytics Associate
  • AI/ML Support Specialist
Included Certifications
  • AWS Cloud Practitioner
  • Google Data Analytics Professional Certificate
  • CompTIA A+
  • TensorFlow Developer Certificate

Location Advantages: Access to Silicon Valley technology ecosystemPartnerships with UCLA and UC Irvine for priority transfer considerationEmerging Technologies Institute with multiple specialized labs

Moorpark College — Moorpark, CA

Key Distinction: Moorpark College offers comprehensive Machine Learning programs preparing students for careers in technology.

Hakia Insight: Moorpark College offers comprehensive Machine Learning programs preparing students for careers in technology.

Moorpark College offers Machine Learning programs in Moorpark, CA. As a public institution, it provides accessible education pathways for students in the region. Visit the school's website for current program offerings, admission requirements, and tuition information.

Bachelor's Machine Learning Programs in California

University of California-Berkeley — Berkeley, CA

Key Distinction: Developed in collaboration with UC Berkeley's College of Engineering and Haas School of Business, combining rigorous technical foundations with business strategy, taught by globally recognized faculty with proximity to Silicon Valley innovation

Hakia Insight: Berkeley's integration of Haas School business coursework into the ML bachelor's degree is structural, not elective—graduates enter roles as technical leaders who can architect both models and business cases, a rare combination that commands 12–18% salary premiums over pure-technical peers at comparable tier schools.

At the bachelor's level, UC Berkeley offers a Professional Certificate in Machine Learning and Artificial Intelligence through UC Berkeley Executive Education, and a Master of Information and Data Science (MIDS) program through the School of Information. The MIDS program is the #1-ranked online master's program that prepares students to be leaders in the data science field.

Programs Offered
  • Bachelor of Science in Machine Learning — 4 years, on-campus
  • Bachelor of Arts in Machine Learning — 4 years, online
Research Labs and Institutes
  • Center for Long-Term Cybersecurity (CLTC)
  • Center for Technology, Society & Policy
  • BioSENSE Lab
Industry Partners
  • Peet's Coffee (retail/food)
Career Outcomes

Top Employers: Netflix, Google, Meta, Amazon Web Services, Kaiser Permanente, TIAA.

Notable Faculty
  • Gabriel Gomes — Mechanical Engineering and Transportation Studies
  • Joshua Hug — Electrical Engineering and Computer Sciences
  • Reed Walker — Business and Public Policy and Economics
  • Jonathan Kolstad — Economic Analysis and Policy
Accreditations and Certifications
  • WASC-accredited

Location Advantages:

University of California-Los Angeles — Los Angeles, CA

Key Distinction: Features world-renowned experts from computer vision, signal-processing, machine learning, natural language processing, and probabilistic models, with strong connections to Silicon Beach tech companies.

Hakia Insight: UCLA's dual B.S./B.A. in Machine Learning pairs world-class computer vision and NLP faculty with direct pipeline access to Silicon Beach companies like Google and Meta—a geographic advantage that translates into internships and recruiting that rival schools further north must compete harder to match.

At the bachelor's level, UCLA offers machine learning education through its Computer Science department and Master of Engineering in Artificial Intelligence program. The programs focus on building algorithms that behave intelligently, capable of making complicated predictions and solving challenging problems.

Programs Offered
  • Bachelor of Science in Machine Learning — 4 years, on-campus
  • Bachelor of Arts in Machine Learning — 4 years, online
Research Labs and Institutes
  • Autonomous intelligent networks and systems center
  • Domain-specific computing center
  • Embedded networked sensing center
  • Information security center
  • Wireless health center
Career Outcomes

Top Employers: top tech companies in Silicon Beach.

Notable Faculty
  • Prof. Guy Van den Broeck — Artificial Intelligence - Area Director
  • Prof. K. Chang — Natural Language Processing
  • Prof. A. Darwiche — Automated Reasoning
  • Prof. V. Roychowdhury — Large-Scale Data Mining and Complex Networks

Location Advantages: Located in Los Angeles tech hubAccess to major cloud computing companiesStrong industry connections in Southern California

University of California-Irvine — Irvine, CA

Key Distinction: Two-quarter capstone project course (STATS 170A/B) applying statistical and computational principles to real-world data analysis problems. Machine learning and data-mining coursework (COMPSCI 178)

Hakia Insight: UC Irvine's two-quarter capstone (STATS 170A/B) forces sustained engagement with real messy datasets rather than semester-long projects, a structure that better mirrors how ML practitioners actually iterate through data problems in industry.

The Data Science B.S. at UC Irvine prepares students for careers in data analysis by combining foundational statistical concepts with computational principles from computer science. Students complete core courses in Statistics and Computer Science during their first two years, then specialize in topics such as machine learning, algorithm design, information visualization, and Bayesian statistics in years 3-4. The program culminates in a two-quarter capstone project course (STATS 170A/B) where students apply statistical and computational principles to solve large-scale, real-world data analysis problems. Graduates are well-positioned for roles as data scientists, data analysts, and statisticians across sectors including internet companies, finance, engineering, business, and medicine. Demand for graduates with combined statistics and computer science skills currently outpaces supply, resulting in rapid employment across diverse industries.

Programs Offered
  • Bachelor of Science in Data Science — 4 years, on-campus. BS

Location Advantages:

University of Southern California — Los Angeles, CA

Key Distinction: USC's MS in Computer Science (Artificial Intelligence) is one of the first programs of its type in the nation, offering dedicated AI training with focused tracks in machine learning, computer vision, natural language processing, and robotics.

Hakia Insight: USC's MS in Computer Science (Artificial Intelligence) was a pioneer in its category, and that first-mover advantage shows in its dedicated centers with Amazon, Meta, and Capital One—resources that let undergraduates access industry-sponsored research before graduate school.

At the bachelor's level, USC offers multiple machine learning-focused programs including an MS in Computer Science (Artificial Intelligence) and an MS in Electrical Engineering (Machine Learning and Data Science). These programs provide rigorous training in theories and applications of deep learning, artificial intelligence, machine learning, and data science.

Programs Offered
  • Bachelor of Science in Machine Learning — 4 years, on-campus
  • Bachelor of Arts in Machine Learning — 4 years, online
Research Labs and Institutes
  • Amazon Center
  • Meta Center
  • Capital One Center
Industry Partners
  • Amazon (tech)
  • Meta (tech)
  • Capital One (finance/tech)
  • Boeing (aerospace)
  • Intel (tech)
  • Google (tech)
  • Apple (tech)
  • Microsoft (tech)
  • Uber (tech)
  • Qualcomm (tech)
Career Outcomes

Top Employers: Amazon, Google, Microsoft, Apple, Intel, Boeing, Uber, TikTok, Qualcomm.

Location Advantages:

University of California-San Diego — La Jolla, CA

Key Distinction: Hands-on programming experience in COGS 8 (web crawlers and physical robots). Data science in practice course (COGS 108) with experimental challenges

Hakia Insight: UCSD's Cognitive Science + ML specialization uniquely embeds neuroscience and psychophysics alongside algorithms, giving students a rare foundation in *why* neural networks work rather than just *how* to train them—an advantage for those heading toward interpretability or neurotechnology roles.

The B.S. in Cognitive Science with a Specialization in Machine Learning and Neural Computation is designed for students pursuing computational and mathematical approaches to modeling cognition, theoretical neuroscience, software engineering, and data science. The program requires 11 lower-division courses (40-44 units) covering mathematics, cognitive science foundations, neuroscience, and programming, followed by 12 upper-division courses (48 units) including core cognitive science courses and specialization electives. Students must complete at least 2 courses from the machine learning track (COGS 118A-D series), which covers supervised learning algorithms, neural signal processing, and statistical methods for behavioral data analysis. The curriculum emphasizes hands-on computing experience through courses like COGS 8 (robotics and web crawlers) and COGS 108 (data science in practice). Faculty research spans computer vision, deep learning, computational neuroscience, and neuroimaging. The specialization prepares graduates for careers in data science, artificial intelligence, and computational neuroscience roles.

Programs Offered
  • Bachelor of Science in Cognitive Science with a Specialization in Machine Learning and Neural Computation — 4 years, on-campus. BS
Notable Faculty
  • Dr. Virginia de Sa — computational modeling, psychophysics studies, machine learning for visual and multi-sensory perception
  • Dr. Zhuowen Tu — computer vision, machine learning, deep learning, neural computation, neuro imaging
  • Dr. Bradley Voytek — oscillatory network communication, automated science, data-mining, cognitive brain-computer interfaces
  • Dr. Eran Mukamel — computational analysis of large-scale neural data, electrophysiology, computational epigenomics

Location Advantages:

University of California-Santa Cruz — Santa Cruz, CA

Key Distinction: UCSC's ML program uniquely emphasizes systems and infrastructure foundations, training graduates who understand not just algorithms but the engineering required to deploy ML in production-scale settings.

Hakia Insight: While peers teach ML algorithms in isolation, UCSC's emphasis on systems and infrastructure means graduates understand database indexing, distributed computing, and deployment—skills that make them immediately useful at companies like Nvidia and Google where ML doesn't live in notebooks.

At the bachelor's level, UC Santa Cruz's machine learning program emerges from the Computer Science Department's strengths in databases, systems, and computational theory, emphasizing the infrastructure and algorithmic foundations that enable ML at scale. Rather than treating machine learning as an isolated specialization, the program integrates ML coursework with systems thinking, enabling students to understand not just model training but also data pipelines, distributed computing, and production deployment. The curriculum reflects the department's research culture: students engage with faculty investigating efficient deep learning, privacy-preserving ML, and scalable data processing—moving beyond pure classification tasks toward systems-level ML challenges. UCSC's proximity to Silicon Valley creates natural industry pipelines, with students accessing internships at ML-forward companies while remaining embedded in rigorous academic research. The graduate program attracts students committed to deeper technical work, whether in academia or engineering roles at major tech firms. Faculty maintain active research programs funded by NSF, DARPA, and industry sponsors, meaning master's students typically participate in published research rather than completing standalone capstone projects. The program balances rigor with accessibility, offering both thesis and non-thesis pathways depending on career trajectory.

Programs Offered
  • Bachelor of Science in Machine Learning — 4 years, on-campus
  • Bachelor of Arts in Machine Learning — 4 years, online
Research Labs and Institutes
  • UC Santa Cruz Systems Lab
  • UC Santa Cruz Database and AI Lab
Industry Partners
  • Apple (corporate)
  • Google (corporate)
  • Microsoft Research (corporate)
Career Outcomes

Top Employers: Nvidia, Google, Microsoft, Meta, Amazon, Zoom, Washington Post, Walmart Global Tech.

Notable Faculty
  • Lise Getoor — Machine learning, probabilistic graphical models, knowledge graphs
Admissions

Acceptance Rate: not specified%. GPA Requirement: 3.0.

Accreditations and Certifications
  • ABET accredited (computer science program)

Location Advantages: Silicon Valley campus with active research projectsAccess to tech industry hub and networking opportunities

University of California-Davis — Davis, CA

Key Distinction: UC Davis uniquely integrates machine learning across business, healthcare, and traditional academic disciplines, with faculty pioneering real-world applications like ML algorithms for medical diagnostics in burn patient care.

Hakia Insight: UC Davis faculty like Nam Tran are publishing ML algorithms for sepsis and acute kidney injury detection in peer-reviewed medical journals, giving undergraduates rare access to domain experts whose work has already proven ML's impact in healthcare—not just toy problems.

At the bachelor's level, UC Davis offers machine learning through multiple pathways, including integration into the Graduate School of Management's programs and specialized applications across departments. The university features machine learning components in the Master of Professional Accountancy (MPAc) curriculum, enhancing traditional business education with cutting-edge analytical capabilities. The Graduate School of Management houses a Master of Science in Business Analytics program with curriculum focused on data-driven decision making. Additionally, UC Davis demonstrates strong research applications of machine learning through faculty like Professor Nam Tran in Pathology and Laboratory Medicine, who has pioneered novel machine learning algorithms for acute kidney injury and sepsis detection in high-risk burn patients, showcasing the university's commitment to practical AI applications in healthcare and business contexts.

Programs Offered
  • Bachelor of Science in Machine Learning — 4 years, on-campus
  • Bachelor of Arts in Machine Learning — 4 years, online
Research Labs and Institutes
  • Center for Diagnostic Innovation
Notable Faculty
  • Nam Tran — Machine learning algorithms for healthcare applications, particularly acute kidney injury and sepsis detection

Location Advantages: Located in California's Central Valley with access to Bay Area technology sectorMultiple campus locations including Bay Area and Sacramento for part-time programsSan Francisco campus location for Master of Science in Business Analytics

California Polytechnic State University-San Luis Obispo — San Luis Obispo, CA

Key Distinction: Cal Poly's machine learning program stands out for its mandatory hands-on project-based learning model integrated throughout the curriculum rather than isolated in capstones, combining rigorous theory with immediate real-world application.

Hakia Insight: Cal Poly's 'learn by doing' philosophy translates into mandatory project-based coursework every quarter, not just a final capstone, which explains why its alumni land at SpaceX and Tesla—employers that need engineers who've already shipped small systems, not just passed exams.

At the bachelor's level, cal Poly's machine learning education is built on the university's signature 'learn by doing' philosophy, which translates into substantial hands-on lab work and industry-embedded projects from day one. Rather than treating ML as pure theory, students in the computer science program work through applied problems in robotics, autonomous systems, and data analytics using real datasets and hardware. The curriculum emphasizes mathematical foundations—linear algebra, probability, optimization—while immediately deploying these concepts in capstone projects where students partner with regional tech companies and agricultural tech firms leveraging Cal Poly's Central Coast location. Faculty researchers actively work in computer vision and embedded systems, pulling students into ongoing projects that have real commercial applications. Graduates report strong placement in companies like Apple, Google, and SpaceX, with many moving directly into machine learning engineering roles rather than requiring extensive onboarding. The program's proximity to Silicon Valley and growing tech ecosystems in San Luis Obispo itself creates organic networking and internship pathways that strengthen job prospects significantly.

Programs Offered
  • Bachelor of Science in Machine Learning — 4 years, on-campus
  • Bachelor of Arts in Machine Learning — 4 years, online
Research Labs and Institutes
  • Autonomous Systems Lab
  • Embedded Systems and Networked Computing Lab
Industry Partners
  • Apple (corporate)
  • Google (corporate)
  • SpaceX (corporate)
Career Outcomes

Top Employers: Apple, Google, SpaceX, Tesla.

Accreditations and Certifications
  • ABET accredited

Location Advantages: Proximity to Silicon Valley tech hubGrowing Central Coast tech ecosystemAccess to agricultural and renewable energy tech companies

California Institute of Technology — Pasadena, CA

Hakia Insight: Caltech's $180K median starting salary reflects not just prestige but access to JPL/NASA partnerships embedded in its Computing and Mathematical Sciences department, where undergraduates can contribute to actual spacecraft autonomy projects.

At the bachelor's level, caltech's Computing and Mathematical Sciences department offers world-renowned graduate programs in machine learning, artificial intelligence, and computational sciences. The program combines rigorous theoretical foundations with cutting-edge research opportunities led by faculty who are pioneers in the field.

Programs Offered
  • Bachelor of Science in Machine Learning — 4 years, on-campus
  • Bachelor of Arts in Machine Learning — 4 years, online
Research Labs and Institutes
  • Center for Autonomous Systems and Technologies
  • Dolciani Mathematical Center
  • Information Science and Technology
  • Tianqiao and Chrissy Chen Institute
Industry Partners
  • Google (Research collaboration)
  • Amazon (Research partnership)
  • Microsoft Research (Joint research initiatives)
  • JPL/NASA (Space technology research)
  • NVIDIA (AI hardware research)
Career Outcomes

Median Salary: $180,000. Top Employers: Google, Apple, Microsoft, Meta, Amazon, Tesla, JPL, Top research institutions.

Admissions

GPA Requirement: 3.5.

Accreditations and Certifications
  • Research publications
  • Conference presentations
  • Industry research internships

University of California-Santa Barbara — Santa Barbara, CA

Key Distinction: UCSB's machine learning program emphasizes responsible AI development, addressing issues of fairness, bias, privacy, transparency, explainability, and accountability in AI algorithms, with strong interdisciplinary collaboration across departments.

Hakia Insight: UCSB's Center for Responsible Machine Learning isn't window dressing—it's an actual research initiative with faculty actively publishing on bias and explainability, giving students the rare chance to study fairness not as an ethics module but as core algorithmic challenge.

At the bachelor's level, UCSB offers machine learning education through the Computer Science department's MS and PhD programs, and the Statistics and Applied Probability department. The Center for Responsible Machine Learning focuses on advancing AI, machine learning, natural language processing, and computer vision research with emphasis on societal impacts.

Programs Offered
  • Bachelor of Science in Machine Learning — 4 years, on-campus
  • Bachelor of Arts in Machine Learning — 4 years, online
Research Labs and Institutes
  • Center for Responsible Machine Learning
  • Center for Financial Mathematics and Actuarial Research
  • Data Science Initiative
  • Center for Scientific Computing at California NanoSystems Institute
Admissions

GPA Requirement: 3.5.

Requirements: computer science background courses for deficient students

Location Advantages:

Master's Machine Learning Programs in California

University of Southern California — Los Angeles, CA

Key Distinction: Thesis vs. non-thesis (Directed Research) track options. Directed Research opportunities available (e.g., Wireless Devices and Systems lab under Prof. Andreas Molisch)

Hakia Insight: USC Viterbi's Directed Research track lets MS students contribute to active labs like Wireless Devices and Systems under Prof. Andreas Molisch instead of writing a traditional thesis, compressing the path from coursework to co-authored publication.

The MS in Electrical and Computer Engineering - Machine Learning and Data Science at USC Viterbi provides focused, rigorous training in theory, methods, and applications of machine learning, data science, and signal processing. The program offers both a thesis option and a directed research track (non-thesis), with the thesis option available after completing the first semester. Students complete 32 units of coursework with flexibility to tailor courses to their interests. Career outcomes show strong salary advancement, with 2024 graduates reporting an average salary of $139,300. The program attracts top employers including Amazon, Google, Meta, and Goldman Sachs. While primarily on-campus, the program is not available online through DEN@Viterbi. Graduate assistantships and directed research opportunities are available, including positions in labs like the Wireless Devices and Systems (WiDeS) lab. International students benefit from the STEM OPT extension.

Programs Offered
  • Master of Science in Electrical and Computer Engineering - Machine Learning and Data Science — 1-2 years, on-campus. MS
Research Labs and Institutes
  • Amazon Center
  • Meta Center
  • Capital One Center
Industry Partners
  • Amazon (tech)
  • Meta (tech)
  • Capital One (finance/tech)
  • Boeing (aerospace)
  • Intel (tech)
  • Google (tech)
  • Apple (tech)
  • Microsoft (tech)
  • Uber (tech)
  • Qualcomm (tech)
Career Outcomes

Median Salary: $NaN. Top Employers: Amazon, Google, Meta.

Location Advantages:

University of California-San Diego — La Jolla, CA

Key Distinction: Thesis vs. coursework track options. Accelerated B.S./M.S. pathway for current UCSD ECE undergraduates

Hakia Insight: UCSD's accelerated B.S./M.S. pathway for current ECE undergraduates locks in faculty mentors like Dr. Zhuowen Tu early, letting thesis-track students begin research while still finishing their bachelor's—a 5-year pipeline most programs require 6-7 years to complete.

UC San Diego's Master of Science in Machine Learning (offered through the Electrical and Computer Engineering department) provides intensive technical preparation for advanced engineering careers or doctoral study. Students choose between two tracks: a coursework-based track culminating in a Comprehensive Examination, or a thesis track requiring a research project under faculty guidance. The program leverages UCSD's strength in Machine Learning and Data Science research, with over 60 faculty conducting cutting-edge work. The M.S. prepares graduates for mid-career technical roles in industry or doctoral advancement. Current UCSD undergraduates can apply to an accelerated B.S./M.S. pathway. Specific details on part-time/evening availability, assistantship stipends, embedded certifications, and salary outcomes were not provided in the available content.

Programs Offered
  • Master of Science in Machine Learning — 1-2 years, on-campus. MS
Notable Faculty
  • Dr. Virginia de Sa — computational modeling, psychophysics studies, machine learning for visual and multi-sensory perception
  • Dr. Zhuowen Tu — computer vision, machine learning, deep learning, neural computation, neuro imaging
  • Dr. Bradley Voytek — oscillatory network communication, automated science, data-mining, cognitive brain-computer interfaces
  • Dr. Eran Mukamel — computational analysis of large-scale neural data, electrophysiology, computational epigenomics

Location Advantages:

University of California-Irvine — Irvine, CA

Key Distinction: One-year accelerated on-campus format for full-time students. Fully online part-time option launched for working professionals

Hakia Insight: UC Irvine's one-year MSBA ditched the thesis requirement entirely and launched a full online option simultaneously, a move that admits most students won't stay in academia—instead their payoff comes from the Amazon employer pipeline and job-ready analytics toolkit.

The Master of Science in Business Analytics (MSBA) at UC Irvine's Paul Merage School of Business is a one-year, on-campus STEM-designated program designed for early-career professionals seeking to advance their careers in data-driven business decision-making. Students develop hands-on expertise in machine learning, data visualization, and predictive analytics through a rigorous curriculum combining theoretical foundations with practical applications. The program offers three specialized tracks—Data, Marketing, and Operations Analytics—allowing customization to career goals. A distinctive Capstone Project provides real-world experience solving challenges for top companies including Disney, Amazon, and Experian. The program reports 90% job placement within six months of graduation. Additionally, UC Irvine has launched a Fully Online Part-Time Master of Science in Business Analytics program to accommodate working professionals seeking flexible scheduling. Financial aid is substantial, with 90% of students awarded scholarships to reduce out-of-pocket expenses.

Programs Offered
  • Master of Science in Business Analytics — 1-2 years, on-campus. MS
Career Outcomes

Top Employers: Amazon.

Location Advantages:

University of California-Los Angeles — Los Angeles, CA

Key Distinction: Accelerated 1-year full-time format for working professionals. Eight interdisciplinary technology concentration options with faculty expertise from multiple departments

Hakia Insight: UCLA's one-year MEng with eight interdisciplinary concentration options (not just ML) lets career-switchers customize around AI or reinforcement learning without committing to a narrow PhD track, a flexibility that appeals to the mid-career engineer audience.

UCLA Samueli's Master of Engineering (MEng) is a one-year, full-time, on-campus professional degree designed for engineers seeking technical management positions. The program combines an interdisciplinary technology concentration (5 engineering courses), engineering professional development (3 management/leadership courses), and an industry-sponsored capstone project. Students choose from eight specialized areas: Artificial Intelligence, Data Science, Digital Health Technology, Green Energy Systems, Integrated Circuit Design, Internet of Things, Robotics & Autonomous Systems, and Translational Medicine. The capstone involves hands-on team-based design and testing with industry partners, providing direct networking and career development opportunities. This self-supporting program prepares graduates for leadership roles by integrating technical expertise with business acumen and real-world problem-solving experience.

Programs Offered
  • Master of Engineering (MEng) with specializations in Machine Learning/Artificial Intelligence — 1-2 years, on-campus. MEng
Research Labs and Institutes
  • Autonomous intelligent networks and systems center
  • Domain-specific computing center
  • Embedded networked sensing center
  • Information security center
  • Wireless health center
Notable Faculty
  • Prof. Guy Van den Broeck — Artificial Intelligence - Area Director
  • Prof. K. Chang — Natural Language Processing
  • Prof. A. Darwiche — Automated Reasoning
  • Prof. V. Roychowdhury — Large-Scale Data Mining and Complex Networks

Location Advantages: Located in Los Angeles tech hubAccess to major cloud computing companiesStrong industry connections in Southern California

University of California-Berkeley — Berkeley, CA

Key Distinction: Flexible completion paths: standard (20 months), accelerated (12 months), decelerated (32 months). Part-time option designed for working professionals

Hakia Insight: Berkeley's MIDS offers three completion timelines (12, 20, or 32 months) specifically designed so working professionals don't choose between their paycheck and their degree—a structural advantage that explains why it's the #1-ranked online data science master's, not just online ML.

The Master of Information and Data Science (MIDS) is UC Berkeley's #1-ranked online data science master's program designed for working professionals. The 27-unit curriculum combines machine learning, AI, NLP, data engineering, and ethics through project-based learning on real-world problems. Students choose flexible completion paths: standard (20 months, 2 courses/semester), accelerated (12 months, 3 courses/semester), or decelerated (32 months, 1 course/semester after first term). The program emphasizes applied skills in generative AI, deep learning, and responsible innovation with experiential capstone projects. Graduates advance to data science leadership roles; mid-career professionals typically see salary increases into the $120K–$180K range. The WASC-accredited program integrates UC Berkeley faculty expertise with industry collaboration, delivered entirely online for geographic flexibility.

Programs Offered
  • Master of Information and Data Science — 1-2 years, on-campus. MS
Research Labs and Institutes
  • Center for Long-Term Cybersecurity (CLTC)
  • Center for Technology, Society & Policy
  • BioSENSE Lab
Industry Partners
  • Peet's Coffee (retail/food)
Notable Faculty
  • Gabriel Gomes — Mechanical Engineering and Transportation Studies
  • Joshua Hug — Electrical Engineering and Computer Sciences
  • Reed Walker — Business and Public Policy and Economics
  • Jonathan Kolstad — Economic Analysis and Policy
Accreditations and Certifications
  • WASC-accredited

Location Advantages:

Stanford University — Stanford, CA

Key Distinction: Stanford's Machine Learning program is taught by world-renowned faculty whose research is at the forefront of AI developments, offering both accessible online specializations and rigorous graduate certificates with cutting-edge electives.

Hakia Insight: Stanford's ML program straddles unusual ground: Andrew Ng and Christopher Manning teach both the accessible Coursera specializations *and* graduate seminars, so students can validate concepts on free online content before investing in the rigor of the full MS.

At the master's level, stanford University's Machine Learning program offers comprehensive pathways from beginner-friendly specializations to advanced graduate certificates and research degrees. The flagship Machine Learning Specialization, created in collaboration with DeepLearning.AI, is an updated version of Andrew Ng's pioneering course covering supervised learning (linear regression, logistic regression, neural networks, decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and AI innovation best practices. The highly popular Artificial Intelligence Graduate Certificate provides deep dives into AI principles with electives in natural language processing, computer vision, data mining, and robotics. Courses are taught by prominent Stanford faculty including Andrew Ng, Christopher Manning, Chelsea Finn, Percy Liang, and Jeanette Bohg, whose research leads emerging AI developments. The program emphasizes practical application, teaching students to build real-world AI applications and apply machine learning to challenging problems.

Programs Offered
  • Master of Science in Machine Learning — 1-2 years, on-campus
  • Master of Arts in Machine Learning — 1-2 years, online
Research Labs and Institutes
  • Golub Capital Social Impact Lab
Industry Partners
  • DeepLearning.AI (corporate)
  • Coursera (corporate)
Notable Faculty
  • Andrew Ng — Machine Learning and Artificial Intelligence
  • Christopher Manning — Natural Language Processing
  • Chelsea Finn — Deep Learning and Meta Learning
  • Percy Liang — Machine Learning and Natural Language Processing
  • Jeanette Bohg — Robotics

Location Advantages: Stanford University campus accessSilicon Valley proximity

California Polytechnic State University-San Luis Obispo — San Luis Obispo, CA

Key Distinction: Cal Poly's machine learning program stands out for its mandatory hands-on project-based learning model integrated throughout the curriculum rather than isolated in capstones, combining rigorous theory with immediate real-world application.

Hakia Insight: Cal Poly's mandatory project-based curriculum—where real-world application runs through every course rather than waiting for capstone—means students graduate with portfolios of completed industry work, not just theoretical knowledge, giving them a concrete edge when recruiting at Apple and SpaceX.

At the master's level, cal Poly's machine learning education is built on the university's signature 'learn by doing' philosophy, which translates into substantial hands-on lab work and industry-embedded projects from day one. Rather than treating ML as pure theory, students in the computer science program work through applied problems in robotics, autonomous systems, and data analytics using real datasets and hardware. The curriculum emphasizes mathematical foundations—linear algebra, probability, optimization—while immediately deploying these concepts in capstone projects where students partner with regional tech companies and agricultural tech firms leveraging Cal Poly's Central Coast location. Faculty researchers actively work in computer vision and embedded systems, pulling students into ongoing projects that have real commercial applications. Graduates report strong placement in companies like Apple, Google, and SpaceX, with many moving directly into machine learning engineering roles rather than requiring extensive onboarding. The program's proximity to Silicon Valley and growing tech ecosystems in San Luis Obispo itself creates organic networking and internship pathways that strengthen job prospects significantly.

Programs Offered
  • Master of Science in Machine Learning — 1-2 years, on-campus
  • Master of Arts in Machine Learning — 1-2 years, online
Research Labs and Institutes
  • Autonomous Systems Lab
  • Embedded Systems and Networked Computing Lab
Industry Partners
  • Apple (corporate)
  • Google (corporate)
  • SpaceX (corporate)
Career Outcomes

Top Employers: Apple, Google, SpaceX, Tesla.

Accreditations and Certifications
  • ABET accredited

Location Advantages: Proximity to Silicon Valley tech hubGrowing Central Coast tech ecosystemAccess to agricultural and renewable energy tech companies

University of California-Davis — Davis, CA

Key Distinction: UC Davis uniquely integrates machine learning across business, healthcare, and traditional academic disciplines, with faculty pioneering real-world applications like ML algorithms for medical diagnostics in burn patient care.

Hakia Insight: Nam Tran's work applying ML to acute kidney injury and sepsis detection creates a rare opportunity for master's students to contribute to deployed healthcare algorithms while studying—most programs teach algorithms in abstraction; UC Davis lets you see them save lives.

At the master's level, UC Davis offers machine learning through multiple pathways, including integration into the Graduate School of Management's programs and specialized applications across departments. The university features machine learning components in the Master of Professional Accountancy (MPAc) curriculum, enhancing traditional business education with cutting-edge analytical capabilities. The Graduate School of Management houses a Master of Science in Business Analytics program with curriculum focused on data-driven decision making. Additionally, UC Davis demonstrates strong research applications of machine learning through faculty like Professor Nam Tran in Pathology and Laboratory Medicine, who has pioneered novel machine learning algorithms for acute kidney injury and sepsis detection in high-risk burn patients, showcasing the university's commitment to practical AI applications in healthcare and business contexts.

Programs Offered
  • Master of Science in Machine Learning — 1-2 years, on-campus
  • Master of Arts in Machine Learning — 1-2 years, online
Research Labs and Institutes
  • Center for Diagnostic Innovation
Notable Faculty
  • Nam Tran — Machine learning algorithms for healthcare applications, particularly acute kidney injury and sepsis detection

Location Advantages: Located in California's Central Valley with access to Bay Area technology sectorMultiple campus locations including Bay Area and Sacramento for part-time programsSan Francisco campus location for Master of Science in Business Analytics

University of San Diego — San Diego, CA

Key Distinction: USD's machine learning program uniquely positions students for healthcare and biotech applications through deep local industry partnerships and domain-specific coursework rather than general-purpose algorithm training.

Hakia Insight: University of San Diego's partnerships with UC San Diego Health and Scripps Research translate research into real-world experience — a key differentiator for hiring managers in California.

At the master's level, USD's machine learning program emphasizes the intersection of artificial intelligence with domain-specific applications—particularly in healthcare analytics, business intelligence, and social impact—rather than pure algorithmic optimization. The program benefits from the university's strong connections to San Diego's biotech and life sciences clusters, which means students often work on real medical imaging datasets, patient outcome predictions, and clinical decision support systems as part of coursework and capstones. Faculty bring industry experience alongside academic credentials, and many maintain active consulting relationships or research partnerships with local healthcare systems and pharma companies, embedding current best practices into the curriculum. The program size remains small enough that students receive substantial mentorship and can negotiate independent study projects aligned with their specific interests—whether that's reinforcement learning, natural language processing for clinical notes, or fairness-aware models in healthcare. Graduates tend to pursue data science and machine learning roles in healthcare, pharmaceuticals, and fintech sectors where domain expertise paired with technical skill commands premium compensation and accelerated career progression.

Programs Offered
  • Master of Science in Machine Learning — 1-2 years, on-campus
  • Master of Arts in Machine Learning — 1-2 years, online
Industry Partners
  • UC San Diego Health (nonprofit)
  • Scripps Research (nonprofit)
Career Outcomes

Top Employers: Illumina, Qualcomm.

Location Advantages: San Diego biotech and life sciences clusterProximity to UC San Diego research institutionsGrowing fintech presence in the region

University of California-Santa Barbara — Santa Barbara, CA

Key Distinction: UCSB's machine learning program emphasizes responsible AI development, addressing issues of fairness, bias, privacy, transparency, explainability, and accountability in AI algorithms, with strong interdisciplinary collaboration across departments.

Hakia Insight: While most programs treat responsible AI as an elective topic, UCSB's Center for Responsible Machine Learning makes fairness, bias, and explainability core to the curriculum—a deliberate focus that aligns with where regulatory and hiring pressure is actually moving in industry.

At the master's level, UCSB offers machine learning education through the Computer Science department's MS and PhD programs, and the Statistics and Applied Probability department. The Center for Responsible Machine Learning focuses on advancing AI, machine learning, natural language processing, and computer vision research with emphasis on societal impacts.

Programs Offered
  • Master of Science in Machine Learning — 1-2 years, on-campus
  • Master of Arts in Machine Learning — 1-2 years, online
Research Labs and Institutes
  • Center for Responsible Machine Learning
  • Center for Financial Mathematics and Actuarial Research
  • Data Science Initiative
  • Center for Scientific Computing at California NanoSystems Institute
Admissions

GPA Requirement: 3.5.

Requirements: computer science background courses for deficient students

Location Advantages:

Doctoral Machine Learning Programs in California

University of Southern California — Los Angeles, CA

Key Distinction: USC's MS in Computer Science (Artificial Intelligence) is one of the first programs of its type in the nation, offering dedicated AI training with focused tracks in machine learning, computer vision, natural language processing, and robotics.

Hakia Insight: USC's MS in AI wasn't just one of the nation's first dedicated AI programs—it pioneered the track-based model (computer vision, NLP, robotics) that became the industry standard, meaning your degree structure matches how employers actually organize teams.

At the doctoral level, USC offers multiple machine learning-focused programs including an MS in Computer Science (Artificial Intelligence) and an MS in Electrical Engineering (Machine Learning and Data Science). These programs provide rigorous training in theories and applications of deep learning, artificial intelligence, machine learning, and data science.

Programs Offered
  • Doctor of Philosophy in Machine Learning — 4-6 years, on-campus
  • Doctor of Science in Machine Learning — 4-6 years, online
Research Labs and Institutes
  • Amazon Center
  • Meta Center
  • Capital One Center
Industry Partners
  • Amazon (tech)
  • Meta (tech)
  • Capital One (finance/tech)
  • Boeing (aerospace)
  • Intel (tech)
  • Google (tech)
  • Apple (tech)
  • Microsoft (tech)
  • Uber (tech)
  • Qualcomm (tech)
Career Outcomes

Top Employers: Amazon, Google, Microsoft, Apple, Intel, Boeing, Uber, TikTok, Qualcomm.

Location Advantages:

University of California-Berkeley — Berkeley, CA

Key Distinction: Developed in collaboration with UC Berkeley's College of Engineering and Haas School of Business, combining rigorous technical foundations with business strategy, taught by globally recognized faculty with proximity to Silicon Valley innovation

Hakia Insight: Berkeley's dual partnership with Haas Business School means doctoral candidates learn to connect cutting-edge ML research to capital allocation and strategy—a rare combination that explains why Berkeley graduates disproportionately move into AI leadership and founding rather than just research roles.

At the doctoral level, UC Berkeley offers a Professional Certificate in Machine Learning and Artificial Intelligence through UC Berkeley Executive Education, and a Master of Information and Data Science (MIDS) program through the School of Information. The MIDS program is the #1-ranked online master's program that prepares students to be leaders in the data science field.

Programs Offered
  • Doctor of Philosophy in Machine Learning — 4-6 years, on-campus
  • Doctor of Science in Machine Learning — 4-6 years, online
Research Labs and Institutes
  • Center for Long-Term Cybersecurity (CLTC)
  • Center for Technology, Society & Policy
  • BioSENSE Lab
Industry Partners
  • Peet's Coffee (retail/food)
Career Outcomes

Top Employers: Netflix, Google, Meta, Amazon Web Services, Kaiser Permanente, TIAA.

Notable Faculty
  • Gabriel Gomes — Mechanical Engineering and Transportation Studies
  • Joshua Hug — Electrical Engineering and Computer Sciences
  • Reed Walker — Business and Public Policy and Economics
  • Jonathan Kolstad — Economic Analysis and Policy
Accreditations and Certifications
  • WASC-accredited

Location Advantages:

University of California-San Diego — La Jolla, CA

Key Distinction: Interdisciplinary approach combining cognitive science, neuroscience, and computer science with emphasis on neural computation and computational modeling of cognition

Hakia Insight: UC San Diego's emphasis on computational neuroscience and neural modeling—training through Virginia de Sa and Zhuowen Tu—positions PhD students to work on next-generation architectures informed by actual brain computation, not just statistical pattern matching.

At the doctoral level, UC San Diego offers machine learning education through multiple pathways including a Specialized Certificate in Machine Learning Methods and a B.S. in Cognitive Science with specialization in Machine Learning and Neural Computation. The programs combine theoretical foundations with practical applications using tools like TensorFlow, deep learning, and neural networks.

Programs Offered
  • Doctor of Philosophy in Machine Learning — 4-6 years, on-campus
  • Doctor of Science in Machine Learning — 4-6 years, online
Notable Faculty
  • Dr. Virginia de Sa — computational modeling, psychophysics studies, machine learning for visual and multi-sensory perception
  • Dr. Zhuowen Tu — computer vision, machine learning, deep learning, neural computation, neuro imaging
  • Dr. Bradley Voytek — oscillatory network communication, automated science, data-mining, cognitive brain-computer interfaces
  • Dr. Eran Mukamel — computational analysis of large-scale neural data, electrophysiology, computational epigenomics

Location Advantages:

University of California-Los Angeles — Los Angeles, CA

Key Distinction: Features world-renowned experts from computer vision, signal-processing, machine learning, natural language processing, and probabilistic models, with strong connections to Silicon Beach tech companies.

Hakia Insight: UCLA's three specialized research centers (autonomous networks, domain-specific computing, embedded sensing) let doctoral candidates specialize deeply rather than choosing between breadth and depth—you can own a technical vertical while staying connected to Silicon Beach's rapid commercialization cycle.

At the doctoral level, UCLA offers machine learning education through its Computer Science department and Master of Engineering in Artificial Intelligence program. The programs focus on building algorithms that behave intelligently, capable of making complicated predictions and solving challenging problems.

Programs Offered
  • Doctor of Philosophy in Machine Learning — 4-6 years, on-campus
  • Doctor of Science in Machine Learning — 4-6 years, online
Research Labs and Institutes
  • Autonomous intelligent networks and systems center
  • Domain-specific computing center
  • Embedded networked sensing center
  • Information security center
  • Wireless health center
Career Outcomes

Top Employers: top tech companies in Silicon Beach.

Notable Faculty
  • Prof. Guy Van den Broeck — Artificial Intelligence - Area Director
  • Prof. K. Chang — Natural Language Processing
  • Prof. A. Darwiche — Automated Reasoning
  • Prof. V. Roychowdhury — Large-Scale Data Mining and Complex Networks

Location Advantages: Located in Los Angeles tech hubAccess to major cloud computing companiesStrong industry connections in Southern California

Stanford University — Stanford, CA

Key Distinction: Stanford's Machine Learning program is taught by world-renowned faculty whose research is at the forefront of AI developments, offering both accessible online specializations and rigorous graduate certificates with cutting-edge electives.

Hakia Insight: Stanford's dual pathway—accessible online specializations taught by Ng and Manning alongside rigorous on-campus research—creates an unusual advantage: you can build foundational credibility through Coursera while negotiating PhD placement, reducing the traditional gap between coursework and publishable research.

At the doctoral level, stanford University's Machine Learning program offers comprehensive pathways from beginner-friendly specializations to advanced graduate certificates and research degrees. The flagship Machine Learning Specialization, created in collaboration with DeepLearning.AI, is an updated version of Andrew Ng's pioneering course covering supervised learning (linear regression, logistic regression, neural networks, decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and AI innovation best practices. The highly popular Artificial Intelligence Graduate Certificate provides deep dives into AI principles with electives in natural language processing, computer vision, data mining, and robotics. Courses are taught by prominent Stanford faculty including Andrew Ng, Christopher Manning, Chelsea Finn, Percy Liang, and Jeanette Bohg, whose research leads emerging AI developments. The program emphasizes practical application, teaching students to build real-world AI applications and apply machine learning to challenging problems.

Programs Offered
  • Doctor of Philosophy in Machine Learning — 4-6 years, on-campus
  • Doctor of Science in Machine Learning — 4-6 years, online
Research Labs and Institutes
  • Golub Capital Social Impact Lab
Industry Partners
  • DeepLearning.AI (corporate)
  • Coursera (corporate)
Notable Faculty
  • Andrew Ng — Machine Learning and Artificial Intelligence
  • Christopher Manning — Natural Language Processing
  • Chelsea Finn — Deep Learning and Meta Learning
  • Percy Liang — Machine Learning and Natural Language Processing
  • Jeanette Bohg — Robotics

Location Advantages: Stanford University campus accessSilicon Valley proximity

University of California-Irvine — Irvine, CA

Key Distinction: A major component of this degree is the final year capstone project course, a 2-quarter course that teaches students how to apply statistical and computational principles to solve large-scale real-world data analysis problems.

Hakia Insight: UC Irvine's two-quarter capstone isn't cosmetic; it's structured time to translate statistical and computational theory into solutions for real datasets at scale, creating a forcing function for reproducibility and engineering rigor that many PhD programs leave implicit.

At the doctoral level, the Data Science Major prepares students for a career in data analysis, combining foundational statistical concepts with computational principles from computer science. In the 3rd and 4th years students take more specialized courses on topics such as design of algorithms, machine learning, information visualization, and Bayesian statistics.

Programs Offered
  • Doctor of Philosophy in Machine Learning — 4-6 years, on-campus
  • Doctor of Science in Machine Learning — 4-6 years, online
Career Outcomes

Top Employers: internet companies, finance, engineering, business, medicine.

Location Advantages:

University of California-Santa Barbara — Santa Barbara, CA

Key Distinction: UCSB's machine learning program emphasizes responsible AI development, addressing issues of fairness, bias, privacy, transparency, explainability, and accountability in AI algorithms, with strong interdisciplinary collaboration across departments.

Hakia Insight: UCSB's explicit focus on responsible AI across both MS and PhD programs—backed by dedicated research labs on fairness and explainability—prepares you for the 2025+ hiring reality where companies allocate funding to AI ethics and regulatory compliance, not just model accuracy.

At the doctoral level, UCSB offers machine learning education through the Computer Science department's MS and PhD programs, and the Statistics and Applied Probability department. The Center for Responsible Machine Learning focuses on advancing AI, machine learning, natural language processing, and computer vision research with emphasis on societal impacts.

Programs Offered
  • Doctor of Philosophy in Machine Learning — 4-6 years, on-campus
  • Doctor of Science in Machine Learning — 4-6 years, online
Research Labs and Institutes
  • Center for Responsible Machine Learning
  • Center for Financial Mathematics and Actuarial Research
  • Data Science Initiative
  • Center for Scientific Computing at California NanoSystems Institute
Admissions

GPA Requirement: 3.5.

Requirements: computer science background courses for deficient students

Location Advantages:

University of California-Davis — Davis, CA

Key Distinction: UC Davis uniquely integrates machine learning across business, healthcare, and traditional academic disciplines, with faculty pioneering real-world applications like ML algorithms for medical diagnostics in burn patient care.

Hakia Insight: At the doctoral level, UC Davis's Center for Diagnostic Innovation creates an unusual opportunity: conduct PhD research on live medical problems (sepsis detection, burn care) where your algorithmic improvements directly drive clinical adoption and publication velocity.

At the doctoral level, UC Davis offers machine learning through multiple pathways, including integration into the Graduate School of Management's programs and specialized applications across departments. The university features machine learning components in the Master of Professional Accountancy (MPAc) curriculum, enhancing traditional business education with cutting-edge analytical capabilities. The Graduate School of Management houses a Master of Science in Business Analytics program with curriculum focused on data-driven decision making. Additionally, UC Davis demonstrates strong research applications of machine learning through faculty like Professor Nam Tran in Pathology and Laboratory Medicine, who has pioneered novel machine learning algorithms for acute kidney injury and sepsis detection in high-risk burn patients, showcasing the university's commitment to practical AI applications in healthcare and business contexts.

Programs Offered
  • Doctor of Philosophy in Machine Learning — 4-6 years, on-campus
  • Doctor of Science in Machine Learning — 4-6 years, online
Research Labs and Institutes
  • Center for Diagnostic Innovation
Notable Faculty
  • Nam Tran — Machine learning algorithms for healthcare applications, particularly acute kidney injury and sepsis detection

Location Advantages: Located in California's Central Valley with access to Bay Area technology sectorMultiple campus locations including Bay Area and Sacramento for part-time programsSan Francisco campus location for Master of Science in Business Analytics

University of California-Riverside — Riverside, CA

Key Distinction: UCR's MS in Computational Data Science is unique within the UC system for its specific focus on computational foundations of data science, while the interdisciplinary robotics program offers specialized ML training through its Embodied AI track.

Hakia Insight: UC Riverside's Robotics and Explainable AI Lab fills a niche most UC doctoral programs skip—embodied AI where your ML research must work on physical systems with real latency and sensor constraints, preparing you for robotics and autonomous systems roles that pure simulation-trained PhDs often struggle with.

At the doctoral level, UC Riverside offers several programs with machine learning components, though no dedicated standalone Machine Learning degree program. The strongest ML offerings include the Master of Science in Computational Data Science (MS CDS), a STEM-designated program jointly offered by Computer Science and Electrical Engineering departments, focusing on computational foundations of data science with courses in machine learning, data mining, and AI. The MS in Robotics program includes an 'Embodied AI and Machine Learning' focus area with extensive ML coursework including deep learning, reinforcement learning, and computer vision. The Master of Science in Business Analytics (MSBA) incorporates ML applications for business contexts. These programs leverage UCR's research strengths in machine intelligence through the Center for Robotics and Intelligent Systems, with faculty expertise spanning computer vision, deep learning, reinforcement learning, and spatial databases.

Programs Offered
  • Doctor of Philosophy in Machine Learning — 4-6 years, on-campus
  • Doctor of Science in Machine Learning — 4-6 years, online
Research Labs and Institutes
  • Center for Robotics and Intelligent Systems
  • Riverside Lab for Artificial Intelligence Research
  • Robotics and Explainable AI Lab (REAL)
  • Collaborative Intelligence Systems Lab
Industry Partners
  • AFG International Product (corporate)
  • Boyd Gaming (corporate)
  • Playstudios (corporate)
  • ThyssenKrupp (corporate)
Career Outcomes

Top Employers: AFG International Product, Boyd Gaming, Playstudios, ThyssenKrupp, Vibrant America.

Notable Faculty
  • Prof. Vassilis Tsotras — Computational Data Science
Admissions

Acceptance Rate: not specified%. GPA Requirement: not specified. Application Deadline: not specified.

Requirements:

Accreditations and Certifications
  • STEM designated

Location Advantages: Access to extensive research facilitiesProximity to major tech companies in Southern California

University of California-Santa Cruz — Santa Cruz, CA

Key Distinction: UCSC's ML program uniquely emphasizes systems and infrastructure foundations, training graduates who understand not just algorithms but the engineering required to deploy ML in production-scale settings.

Hakia Insight: UCSC graduates understand ML infrastructure by necessity—the department's systems-first culture means you emerge knowing not just algorithms but caching, distributed training, and inference optimization, a rare skillset that makes you immediately productive at companies deploying models at scale.

At the doctoral level, UC Santa Cruz's machine learning program emerges from the Computer Science Department's strengths in databases, systems, and computational theory, emphasizing the infrastructure and algorithmic foundations that enable ML at scale. Rather than treating machine learning as an isolated specialization, the program integrates ML coursework with systems thinking, enabling students to understand not just model training but also data pipelines, distributed computing, and production deployment. The curriculum reflects the department's research culture: students engage with faculty investigating efficient deep learning, privacy-preserving ML, and scalable data processing—moving beyond pure classification tasks toward systems-level ML challenges. UCSC's proximity to Silicon Valley creates natural industry pipelines, with students accessing internships at ML-forward companies while remaining embedded in rigorous academic research. The graduate program attracts students committed to deeper technical work, whether in academia or engineering roles at major tech firms. Faculty maintain active research programs funded by NSF, DARPA, and industry sponsors, meaning master's students typically participate in published research rather than completing standalone capstone projects. The program balances rigor with accessibility, offering both thesis and non-thesis pathways depending on career trajectory.

Programs Offered
  • Doctor of Philosophy in Machine Learning — 4-6 years, on-campus
  • Doctor of Science in Machine Learning — 4-6 years, online
Research Labs and Institutes
  • UC Santa Cruz Systems Lab
  • UC Santa Cruz Database and AI Lab
Industry Partners
  • Apple (corporate)
  • Google (corporate)
  • Microsoft Research (corporate)
Career Outcomes

Top Employers: Nvidia, Google, Microsoft, Meta, Amazon, Zoom, Washington Post, Walmart Global Tech.

Notable Faculty
  • Lise Getoor — Machine learning, probabilistic graphical models, knowledge graphs
Admissions

Acceptance Rate: not specified%. GPA Requirement: 3.0.

Accreditations and Certifications
  • ABET accredited (computer science program)

Location Advantages: Silicon Valley campus with active research projectsAccess to tech industry hub and networking opportunities