2026 Rankings

Best Computer Science Doctoral Degree Programs in California, 2026 Rankings

14 accredited California Computer Science doctoral programs ranked by graduation rate, program completions, selectivity, and state salary outcomes (BLS OEWS 2024).

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Quick Summary

California hosts 14 Computer Science doctoral (PhD) programs, the smallest set by count, but home to some of the most research-active computing departments in the country. University of Southern California leads our California doctoral rankings; the PhD path is fundamentally different from coursework degrees and not the right fit for most students.

14 accredited Computer Science doctoral programs in California
Top-ranked: University of Southern California
California median Computer Science salary: $145,770 (BLS OEWS)
Weighted on completions (35%), graduation rate (25%), selectivity (20%), career outcomes (20%)
Updated July 17, 2026
Sources: IPEDS 2024, BLS OEWS 2024, College Scorecard 2024

Key Takeaways

  • 1.California offers 14 accredited Computer Science doctoral programs as of 2026
  • 2.University of Southern California ranks #1 on our California Computer Science doctoral list
  • 3.California Computer Science salary median is $145,770 per BLS OEWS 2024 state data
  • 4.Rankings use a transparent 4-factor weighted score covering completions, graduation rate, selectivity, and career outcomes, see methodology for full weighting
  • 5.Compare alternative degree levels in this state on the hub page

Quick Verdict

California hosts 14 Computer Science doctoral (PhD) programs, the smallest set by count, but home to some of the most research-active computing departments in the country. University of Southern California leads our California doctoral rankings; the PhD path is fundamentally different from coursework degrees and not the right fit for most students.

Top Computer Science Doctoral Programs in California

🥇

University of Southern California

Los Angeles, CAPrivate
100.0
Score
$67K
Tuition/yr
92%
Grad Rate
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program page
🥈

University of California-Berkeley

Berkeley, CAPublic
100.0
Score
$12K
Tuition/yr
96%
Grad Rate
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program page
🥉

University of California-San Diego

La Jolla, CAPublic
60.5
Score
$12K
Tuition/yr
81%
Grad Rate
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program page
#4

University of California-Los Angeles

Los Angeles, CAPublic
65.5
Score
$12K
Tuition/yr
92%
Grad Rate
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program page
#6

University of California-Irvine

Irvine, CAPublic
62.8
Score
$12K
Tuition/yr
96%
Grad Rate
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program page
#7

University of California-Santa Barbara

Santa Barbara, CAPublic
60.9
Score
$12K
Tuition/yr
90%
Grad Rate
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program page
#8

University of California-Davis

Davis, CAPublic
57.2
Score
$12K
Tuition/yr
91%
Grad Rate
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program page
#9

University of California-Riverside

Riverside, CAPublic
51.6
Score
$12K
Tuition/yr
83%
Grad Rate
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program page
#10

University of California-Santa Cruz

Santa Cruz, CAPublic
53.4
Score
$12K
Tuition/yr
93%
Grad Rate
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program page

Top Computer Science Doctoral Programs in California, Complete Program Data

  1. #1. University of Southern California — Doctoral Computer Science

    Hakia ranks University of Southern California's doctoral computer science program #1. Delivery: on-campus. Location: Los Angeles, CA | Type: Private | Tuition: $66,640/year | Graduation Rate: 92% | Score: 100.0

  2. #2. University of California-Berkeley — Doctoral Computer Science

    Hakia ranks University of California-Berkeley's doctoral computer science program #2. Delivery: on-campus. Location: Berkeley, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 96% | Score: 100.0

  3. #3. University of California-San Diego — Doctoral Computer Science

    Hakia ranks University of California-San Diego's doctoral computer science program #3. Delivery: on-campus. Location: La Jolla, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 81% | Score: 60.5

  4. #4. University of California-Los Angeles — Doctoral Computer Science

    Hakia ranks University of California-Los Angeles's doctoral computer science program #4. Delivery: on-campus. Location: Los Angeles, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 92% | Score: 65.5

  5. #5. Stanford University — Doctoral Computer Science

    Hakia ranks Stanford University's doctoral computer science program #5. Delivery: on-campus. Location: Stanford, CA | Type: Private | Tuition: $61,731/year | Score: 60.7

  6. #6. University of California-Irvine — Doctoral Computer Science

    Hakia ranks University of California-Irvine's doctoral computer science program #6. Delivery: on-campus. Location: Irvine, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 96% | Score: 62.8

  7. #7. University of California-Santa Barbara — Doctoral Computer Science

    Hakia ranks University of California-Santa Barbara's doctoral computer science program #7. Delivery: on-campus. Location: Santa Barbara, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 90% | Score: 60.9

  8. #8. University of California-Davis — Doctoral Computer Science

    Hakia ranks University of California-Davis's doctoral computer science program #8. Delivery: on-campus. Location: Davis, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 91% | Score: 57.2

  9. #9. University of California-Riverside — Doctoral Computer Science

    Hakia ranks University of California-Riverside's doctoral computer science program #9. Delivery: on-campus. Location: Riverside, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 83% | Score: 51.6

  10. #10. University of California-Santa Cruz — Doctoral Computer Science

    Hakia ranks University of California-Santa Cruz's doctoral computer science program #10. Delivery: on-campus. Location: Santa Cruz, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 93% | Score: 53.4

Top 5 California Computer Science Doctoral Programs, Side by Side

SchoolTuition (annual)Graduation RateComposite Score
University of Southern California$66,64092%100/100
University of California-Berkeley$11,83496%100/100
University of California-San Diego$11,83481%61/100
University of California-Los Angeles$11,83492%66/100
Stanford University$61,731, 61/100

Source: IPEDS 2024, normalized by Hakia methodology

Doctoral Curriculum in California

Computer Science PhD programs in California run 5 to 7 years on average. Doctoral students are typically fully funded through teaching or research assistantships, meaning no tuition cost and a modest stipend, but with a substantial opportunity cost: you give up 5-7 years of industry earnings (potentially $1M+ in foregone compensation at California salaries). Whether that tradeoff makes sense depends entirely on what you intend to do afterward.

Computer Science PhDs balance advanced coursework (years 1-2), original research (years 2-7), and dissertation work. Top California programs are intensely research-focused, with regular publications at top venues (NeurIPS, ICML, SIGGRAPH, OSDI, USENIX Security, etc.). Successful PhD graduates pursue tenure-track academic positions, research-scientist roles at industry labs (Google Research, Meta FAIR, NVIDIA, Microsoft Research), or specialized technical leadership positions at well-resourced companies.

Who Should Pursue a California Computer Science Doctoral

A California Computer Science doctoral program fits students with a clear interest in original research, the patience for 5-7 years of intellectually intense work, and a target career that requires the credential, academic faculty, research scientist at top industry labs, or specialized technical leadership in research-heavy areas. It is the wrong choice for students who want a software engineering job; for that target, a bachelor's or master's is faster and equivalently competitive.

California Tech Industry & Infrastructure

California concentrates roughly a third of all U.S. venture capital investment and houses the headquarters of every company in the top five U.S. tech market caps. For a CS graduate, that translates into denser-than-anywhere hiring pipelines — but it also means the supply of CS graduates is unusually large, and competition for entry-level roles at named employers is intense.

Bay Area

San Francisco, San Jose, Oakland, Berkeley

Global center for consumer internet, AI/ML research, and high-growth software startups. Entry-level total compensation at named employers regularly clears $200,000 for new bachelor's graduates from top programs.

Los Angeles

Los Angeles County

Quieter but substantial tech market centered on entertainment-tech (Netflix, Disney Streaming, Riot, Activision-Blizzard), aerospace-adjacent software (SpaceX, Anduril, Northrop), and emerging fintech and consumer-app clusters.

San Diego

San Diego County

Smaller but dense in defense, biotech-adjacent software, and Qualcomm-anchored wireless engineering.

California does not levy a separate state-level tech tax credit at scale; the federal R&D credit is the relevant lever for most tech employers.

California Regulation Affecting Computer Science Graduates

Several California laws directly shape what CS graduates work on — particularly anyone joining a privacy, security, data, or AI team. These create both job market demand (compliance is a substantial employer concern) and constrain technical decisions in ways federal law does not.

California Consumer Privacy Act (CCPA / CPRA)

Strongest US state privacy law. Requires explicit consumer rights around data access, deletion, and sale opt-out for any business serving California residents at scale.

Engineers joining privacy, data, or security teams at California employers engage with CCPA daily.

Read more

AB-2273 — California Age-Appropriate Design Code Act

Requires data minimization, default privacy protections, and impact assessments for online products likely to be accessed by minors.

Drove significant engineering work at every consumer internet company headquartered in California.

Read more

SB-21 and state AI guidance

California has issued executive-branch guidance on generative AI in state government and is the most active US state legislature on AI policy.

Engineers building AI products serving California users should expect material compliance overhead.

Read more

California Privacy Protection Agency (CPPA)

First US state privacy enforcement agency. Issues regulations under CCPA/CPRA and brings enforcement actions.

Tech-adjacent compliance work has grown substantially since CPPA stood up.

Read more

Professional Engineer Licensure in California

California recognizes Professional Engineer (PE) licensure in software engineering, but it is rarely required for industry work. ABET-EAC accredited SE degrees count toward PE eligibility; ABET-CAC CS does not. Most California CS graduates never seek PE licensure.

California licensing board

California Financial Aid Programs

Cal Grant A/B/C

State grant

Up to ~$12,570/yr for UC, ~$5,742/yr for CSU, ~$1,094/yr for community college

California residents pursuing undergraduate degrees with demonstrated financial need

Varies by income tier

California undergrads at UC and CSU with family income up to $217,000

California College Promise Grant

Community college fee waiver

Full enrollment fee waiver

California residents at community college with financial need

Chafee Grant

State grant

Up to $5,000/yr

Current or former foster youth pursuing vocational training or college

Frequently Asked Questions

How many Doctoral Computer Science programs are in California?
Our 2026 rankings cover all accredited Doctoral Computer Science programs in California, ranked by program completions (IPEDS), graduation rate, selectivity, and state salary outcomes from BLS OEWS.
What is the top-ranked Doctoral Computer Science program in California?
University of Southern California leads our 2026 California Doctoral Computer Science rankings based on a 4-factor weighted score covering completions, graduation rate, selectivity, and career outcomes. See our methodology page for full weighting details.
Are Computer Science PhD programs in California fully funded?
At top research universities, Stanford, UC Berkeley, UCLA, UC San Diego, USC, Caltech (where applicable), PhD admission virtually always comes with full tuition coverage plus a stipend (typically $35,000-$50,000/year). Self-funded PhDs in Computer Science are rare and usually not recommended.
Is a PhD necessary to do ML or AI research?
For positions titled "Research Scientist" at top industry labs (Google DeepMind, Meta FAIR, NVIDIA Research, Anthropic, OpenAI), a PhD is essentially required. For "Machine Learning Engineer" or applied ML roles, a master's or strong portfolio is typically sufficient. The distinction is between original research and applied engineering, both are well-paid, but they require different credentials.

How We Rank California Computer Science Doctoral Programs

Based on 14 programs from IPEDS 2024

We analyzed 14 accredited Computer Science doctoral programs in California using IPEDS 2024 enrollment and graduation data plus BLS OEWS 2024 state salary data. Rankings are produced algorithmically, schools cannot pay for placement.

Ranking Factors

Program Completions35%

Annual graduates in this specific field (CIP code). Larger programs indicate established departments with more course offerings and career services. Source: IPEDS Completions.

Graduation Rate25%

Percentage of students completing their degree within 150% of expected time. Higher rates indicate better student support and program quality. Source: IPEDS Graduation Rates survey.

Selectivity20%

Admission rate (lower = more selective). For open-admission institutions, graduation rate is used as a proxy. More selective institutions typically have stronger academic environments.

Career Outcomes20%

California median Computer Science salary of $145,770 is factored into scoring based on local job market strength. Source: BLS OEWS 2024.

Data Sources

Related Rankings

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.