- 1.ML Engineers earn a median salary of $157,000 with 40% projected job growth through 2032 (BLS OES 2024)
- 2.Top-ranked Machine Learning programs include University of Washington-Seattle Campus, Carnegie Mellon University, University of California-Irvine based on graduation rates, program strength, and career outcomes
- 3.Best value: University of Washington-Seattle Campus offers machine learning education at $11,524/year with 97% graduation rate
- 4.48 accredited Machine Learning programs analyzed using IPEDS 2023 completion data
Best Machine Learning Programs - Top 10 Bachelor's
University of California-Berkeley
Berkeley BAIR Lab is leading AI research center. Focus on deep learning, computer vision, NLP, and robotics. Strong connections to Bay Area AI companies including Google, Meta, and OpenAI.
Program Overview
University of California-Berkeley's undergraduate Machine Learning & Data Science program graduates 1,380 students annually with an impressive 96% graduation rate. Research opportunities include the Center for Long-Term Cybersecurity (CLTC) and Center for Technology, Society & Policy. Industry connections include partnerships with Google, Meta, OpenAI. BAIR Lab reputation
Hakia Insight: With a 11% acceptance rate, University of California-Berkeley's machine learning & data science program is among the nation's most competitive, attracting top talent to its nationally recognized faculty.
Degree Programs
Research Labs & Institutes
cybersecurity research
technology policy
biosensing technologies
Location Advantages
- •BAIR Lab reputation
- •Bay Area AI hub
- •Strong research output
Industry Partners
Career Outcomes
Google, Meta, OpenAI, Apple, Anthropic
Certifications & Designations
Admissions
University of California-Los Angeles
UCLA Anderson's MSBA is the only program ranked #1 globally that specifically trains data scientists to communicate compelling 'data stories' to non-technical business leaders, bridging the critical gap between analytics and C-suite decision making.
Program Overview
University of California-Los Angeles's undergraduate Machine Learning & Data Science program graduates 778 students annually with an impressive 92% graduation rate. Research opportunities include the Autonomous intelligent networks and systems center and Domain-specific computing center. Industry connections include partnerships with Boston Consulting Group, Nextdoor, Uber. Los Angeles tech hub with entertainment industry analytics opportunities
Hakia Insight: University of California-Los Angeles's partnerships with Boston Consulting Group and Nextdoor translate research into real-world experience — a key differentiator for hiring managers.
Degree Programs
Research Labs & Institutes
autonomous systems
specialized computing
sensor networks
cybersecurity
health technology
Location Advantages
- •Los Angeles tech hub with entertainment industry analytics opportunities
- •Proximity to major tech companies and startups
- •Access to diverse industry sectors including media, entertainment, and aerospace
Industry Partners
Career Outcomes
Boston Consulting Group, Nextdoor, Big Tech companies, Entertainment industry, E-commerce/Retail
Certifications & Designations
Admissions
University of California-San Diego
UCSD's CS program uniquely combines access to the San Diego Supercomputer Center's national-scale computing infrastructure with an interdisciplinary curriculum option, while maintaining direct pathways for exceptional MS students to transition into the PhD program.
Program Overview
University of California-San Diego's undergraduate Machine Learning & Data Science program graduates 949 students annually with an impressive 81% graduation rate. Students benefit from cutting-edge research at the San Diego Supercomputer Center (SDSC). Access to San Diego Supercomputer Center's national research infrastructure
Hakia Insight: Access to San Diego Supercomputer Center's national research infrastructure
Degree Programs
Research Labs & Institutes
High-performance computing, AI-integrated systems, and cyberinfrastructure from early Cray systems to modern supercomputers
Location Advantages
- •Access to San Diego Supercomputer Center's national research infrastructure
- •La Jolla's proximity to biotech and telecommunications industries
Career Outcomes
Certifications & Designations
Admissions
University of California-Irvine
UC Irvine is the only independent computing school in the University of California system, enabling a uniquely broad, multidisciplinary approach to software engineering that bridges computer science, engineering, mathematics, and behavioral sciences.
Program Overview
University of California-Irvine's undergraduate Machine Learning & Data Science program graduates 512 students annually with an impressive 96% graduation rate. Research opportunities include the Software Engineering and Analysis Lab (SEAL) and Software Engineering & Testing Using Artificial Intelligence for Reliable Software (STAIRS). Industry connections include partnerships with Amazon, Google, Microsoft. Located in Orange County tech corridor
Hakia Insight: University of California-Irvine's partnerships with Amazon and Google translate research into real-world experience — a key differentiator for hiring managers.
Degree Programs
Research Labs & Institutes
Software engineering research and analysis
AI-enhanced software testing and reliability
Telecommunications and information technology research
Location Advantages
- •Located in Orange County tech corridor
- •Proximity to major Silicon Valley and Los Angeles tech companies
- •Strong local industry connections in Irvine
Industry Partners
Career Outcomes
Amazon, Amazon Web Services (AWS), Capital One, Google, Microsoft
Admissions
University of California-Santa Barbara
UCSB CS excels in machine learning, distributed systems, and data science research. Strong emphasis on undergraduate research opportunities. Growing tech presence in Santa Barbara with Amazon, Google, and startups nearby.
Program Overview
University of California-Santa Barbara's undergraduate Machine Learning & Data Science program graduates 575 students annually with an impressive 90% graduation rate. Research opportunities include the Center for Responsible Machine Learning and Center for Financial Mathematics and Actuarial Research. Industry connections include partnerships with Amazon, Google, Microsoft. Coastal location
Hakia Insight: With a 26% acceptance rate, University of California-Santa Barbara's machine learning & data science program is among the nation's most competitive, attracting top talent to its nationally recognized faculty.
Degree Programs
Research Labs & Institutes
AI ethics, fairness, bias, privacy, transparency
quantitative finance and probabilistic methods
statistical data science
computational methods
Location Advantages
- •Coastal location
- •Growing tech hub
- •90% graduation rate
Industry Partners
Career Outcomes
Amazon, Google, Microsoft, Apple, Meta
Certifications & Designations
Admissions
University of Washington-Seattle Campus
UW's engineering-focused AI/ML program is uniquely designed as a stackable degree system where working engineers can earn certificates that build toward a master's, with Boeing Company funding support and specializations spanning everything from robotics to materials science.
Program Overview
University of Washington-Seattle Campus's undergraduate Machine Learning & Data Science program graduates 606 students annually with an impressive 97% graduation rate. Research opportunities include the AI Institute for Dynamic Systems and AI Center for Dynamics & Control. Industry connections include partnerships with Boeing Company, Amazon, JP Morgan Chase & Co.. Deep ties to Seattle tech industry
Hakia Insight: University of Washington-Seattle Campus's partnerships with Boeing Company and Amazon translate research into real-world experience — a key differentiator for hiring managers.
Degree Programs
Research Labs & Institutes
Real-time learning and control of complex dynamic systems
Data-driven discovery and control of dynamical systems
Data-intensive discovery across all fields using large, complex datasets
Scale-independent Multimodal Automated Real Time Systems
Location Advantages
- •Deep ties to Seattle tech industry
- •Four miles from downtown Seattle
- •Access to major employers like Amazon, Microsoft, Boeing
Industry Partners
Career Outcomes
JP Morgan Chase & Co., Parsons Corporation, IBM, Costco IT, Toyota
Certifications & Designations
Admissions
University of California-Davis
UC Davis CS students developed and taught their own upper-division Android course covering 73% of global mobile devices. iPhone programming course fills within hours. Students can become iOS developers for ASUCD working on the UC Davis Mobile app.
Program Overview
University of California-Davis's undergraduate Machine Learning & Data Science program graduates 681 students annually with an impressive 91% graduation rate. Students benefit from cutting-edge research at the Computer Science Research. Industry connections include partnerships with Sacramento and Bay Area tech. Bay Area proximity
Degree Programs
Research Labs & Institutes
Mobile and software systems
Location Advantages
- •Bay Area proximity
- •Sacramento capital access
- •Agricultural tech innovation
Industry Partners
Career Outcomes
Admissions
Columbia University in the City of New York
Columbia CS uniquely combines Ivy League academic rigor with Manhattan's tech ecosystem, offering specialized pathways like the dual MS in Journalism and Computer Science and faculty-invite-only personalized tracks that leverage the university's position as a global research hub in one of the world's major technology centers.
Program Overview
Columbia University in the City of New York's undergraduate Machine Learning & Data Science program graduates 528 students annually with an impressive 100% graduation rate. Research opportunities include the Causal Artificial Intelligence Lab and Machine Learning @ Columbia. Industry connections include partnerships with New York City Tech Industry. Manhattan location providing access to diverse tech companies and startups
Hakia Insight: Columbia University in the City of New York's Causal Artificial Intelligence Lab creates a direct research-to-career pipeline with New York City Tech Industry, bridging academic research and industry practice.
Degree Programs
Research Labs & Institutes
Causal inference and AI
General machine learning research
Quantitative imaging biomarkers for cancer screening, prognosis, and treatment
AI/ML methods for multi-organ, multi-omics data in human aging and disease
Medical image acquisition technique improvement using physics and engineering
Advanced neuroimaging, data analysis, and machine learning for clinical practice
Ultrasound-based imaging and therapy tools for brain, heart, vessels, and nerves
Location Advantages
- •Manhattan location providing access to diverse tech companies and startups
- •Proximity to financial services, media, healthcare, and tech industries
- •New York City's position as a global technology and innovation hub
- •Access to Columbia's broader research ecosystem and interdisciplinary programs
Industry Partners
Career Outcomes
Admissions
University of California-Santa Cruz
UCSC pioneered the academic study of games and is consistently ranked among the top 5 game design programs worldwide, with a unique location just one hour from Silicon Valley enabling direct industry connections while maintaining a research-focused academic environment.
Program Overview
University of California-Santa Cruz's undergraduate Machine Learning & Data Science program graduates 677 students annually with an impressive 93% graduation rate. Research opportunities include the Center for Computational Experience and Alternative Learning Technologies and Games (ALT Games) Lab. Industry connections include partnerships with Apple, Google, Microsoft Research. One hour from Silicon Valley tech ecosystem
Hakia Insight: University of California-Santa Cruz's partnerships with Apple and Google translate research into real-world experience — a key differentiator for hiring managers.
Degree Programs
Research Labs & Institutes
Interdisciplinary research center focused on human computer interaction and technology for games and play
Intersection of games, human-computer interaction, and learning science
Location Advantages
- •One hour from Silicon Valley tech ecosystem
- •Close proximity to major game studios and tech companies
- •Access to both Santa Cruz main campus and Silicon Valley campus locations
Industry Partners
Career Outcomes
Certifications & Designations
Admissions
Cornell University
Cornell uniquely offers both a fully-funded research MS in Ithaca with mandatory teaching experience and a one-year industry-focused MEng at Cornell Tech in NYC, where students build actual products for real companies through the first-of-its-kind Studio curriculum.
Program Overview
Cornell University's undergraduate Machine Learning & Data Science program graduates 542 students annually with an impressive 95% graduation rate. Research opportunities include the Initiative for Cryptocurrencies & Contracts (IC3) and Digital Life Initiative (DLI). Industry connections include partnerships with Google, Grammarly, IBM. Ithaca campus provides access to Cornell's world-class research infrastructure
Hakia Insight: Cornell University's partnerships with Google and Grammarly translate research into real-world experience — a key differentiator for hiring managers.
Degree Programs
Research Labs & Institutes
Blockchain science and cryptocurrency research
Ethics, policy, and quality of life in socio-technical systems
Mobile sensing systems for capturing human context and activities
Augmented reality, virtual reality, and mixed reality research
Location Advantages
- •Ithaca campus provides access to Cornell's world-class research infrastructure
- •Cornell Tech NYC location offers direct access to major tech companies and startups
- •Manhattan campus facilitates real-world industry partnerships and internships
Industry Partners
Career Outcomes
Google, Facebook, Amazon, Microsoft
Certifications & Designations
Admissions
Best Machine Learning Programs - Top 10 Bachelor's — Complete Program Data
#1. University of California-Berkeley
Location: Berkeley, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 96% | Score: 100.0
What makes University of California-Berkeley stand out: Berkeley BAIR Lab is leading AI research center. Focus on deep learning, computer vision, NLP, and robotics. Strong connections to Bay Area AI companies including Google, Meta, and OpenAI.
Hakia Insight: With a 11% acceptance rate, University of California-Berkeley's machine learning & data science program is among the nation's most competitive, attracting top talent to its nationally recognized faculty.
Program Overview: Berkeley EECS focuses on deep learning, knowledge representation, reasoning, planning, vision, robotics, speech, and NLP. Closely associated with Berkeley Artificial Intelligence Research (BAIR) Lab. Offers both PhDs and master's programs.
Degree Programs: BA CS with AI focus (4 years); BS EECS with ML focus (4 years)
Research Labs: Center for Long-Term Cybersecurity (CLTC) - cybersecurity research; Center for Technology, Society & Policy - technology policy; BioSENSE Lab - biosensing technologies
Industry Partners: Google, Meta, OpenAI
Career Outcomes: | Top Employers: Google, Meta, OpenAI, Apple, Anthropic | Common Roles: ML Engineer, Research Scientist, Data Scientist
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)
Admissions: | Acceptance Rate: 11%
Accreditations: WASC-accredited
#2. University of California-Los Angeles
Location: Los Angeles, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 92% | Score: 93.4
What makes University of California-Los Angeles stand out: UCLA Anderson's MSBA is the only program ranked #1 globally that specifically trains data scientists to communicate compelling 'data stories' to non-technical business leaders, bridging the critical gap between analytics and C-suite decision making.
Hakia Insight: University of California-Los Angeles's partnerships with Boston Consulting Group and Nextdoor translate research into real-world experience — a key differentiator for hiring managers.
Program Overview: UCLA offers a standout Master of Science in Business Analytics (MSBA) program through the prestigious Anderson School of Management, ranked #1 globally by QS World University Rankings in 2026. This 15-month, STEM-certified on-campus program is designed to bridge the critical gap between technical data skills and business strategy, training students to translate massive datasets into actionable business insights. The program features an exceptional 3:1 student-to-faculty ratio and is led by renowned faculty like Professor Felipe Caro, who helped Zara revolutionize its supply chain into a fast-fashion empire. Students gain hands-on experience through Applied Analytics Projects with top companies, industry seminars, and specialized workshops in data storytelling and business communication. The curriculum combines rigorous quantitative training with business acumen, preparing graduates to become invaluable assets who can speak both the language of data science and executive strategy.
Degree Programs: Master of Science (M.S.); Doctor of Philosophy (Ph.D.); Master of Engineering - Artificial Intelligence
Research Labs: Autonomous intelligent networks and systems center - autonomous systems; Domain-specific computing center - specialized computing; Embedded networked sensing center - sensor networks; Information security center - cybersecurity; Wireless health center - health technology
Industry Partners: Boston Consulting Group, Nextdoor, Uber
Career Outcomes: Placement Rate: 98% full-time placement within 6 months | Top Employers: Boston Consulting Group, Nextdoor, Big Tech companies, Entertainment industry, E-commerce/Retail, Finance/Fintech | Common Roles: Data Scientist, Data Analyst, Business Analyst, Product Analyst, Business Intelligence Analyst, Product Manager, Data Engineer, Analytics Consultant
Notable Faculty: Felipe Caro (Supply chain optimization and operations research); Francisco Castro (Market operations and spatial analytics); Paola Giuliano (Cultural economics and political economy); Auyon Siddiq (Urban mobility and healthcare analytics)
Admissions:
Accreditations: STEM-certified program
#3. University of California-San Diego
Location: La Jolla, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 81% | Score: 90.6
What makes University of California-San Diego stand out: UCSD's CS program uniquely combines access to the San Diego Supercomputer Center's national-scale computing infrastructure with an interdisciplinary curriculum option, while maintaining direct pathways for exceptional MS students to transition into the PhD program.
Hakia Insight: Access to San Diego Supercomputer Center's national research infrastructure
Program Overview: UC San Diego's Computer Science and Engineering Department offers both Master of Science in Computer Science and Master of Science in Computer Science and Engineering (Computer Engineering) degrees, designed to serve diverse post-graduate educational needs. The program provides three distinct pathways: a Thesis Plan for research-oriented students, a Comprehensive Standard Plan, and a unique Comprehensive Interdisciplinary Plan that requires additional coursework in another department. What sets UCSD apart is its rigorous three-pronged curriculum structure ensuring students master fundamental concepts, gain breadth across multiple CS domains (Theory, Systems, and Applications), and develop deep expertise in their chosen specialization area. The program accommodates both full-time students and working professionals through part-time options, with a minimum three-quarter residency requirement. Located in La Jolla with proximity to the San Diego Supercomputer Center (SDSC), students gain access to cutting-edge computational resources including the Expanse supercomputer and AI-integrated computing environments that have powered breakthrough scientific research since the early Cray systems era.
Degree Programs: MS in Computer Science and Engineering - Thesis Plan (Minimum 3 quarters); MS in Computer Science and Engineering - Comprehensive Standard Plan (Minimum 3 quarters); MS in Computer Science and Engineering - Comprehensive Interdisciplinary Plan (Minimum 3 quarters); MS in Computer Science and Engineering (Computer Engineering) (Minimum 3 quarters)
Research Labs: San Diego Supercomputer Center (SDSC) - High-performance computing, AI-integrated systems, and cyberinfrastructure from early Cray systems to modern supercomputers
Career Outcomes:
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)
Admissions: GPA: 3.0 minimum for good academic standing
Accreditations: University of California accreditation
#4. University of California-Irvine
Location: Irvine, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 96% | Score: 88.8
What makes University of California-Irvine stand out: UC Irvine is the only independent computing school in the University of California system, enabling a uniquely broad, multidisciplinary approach to software engineering that bridges computer science, engineering, mathematics, and behavioral sciences.
Hakia Insight: University of California-Irvine's partnerships with Amazon and Google translate research into real-world experience — a key differentiator for hiring managers.
Program Overview: UC Irvine's Donald Bren School of Information and Computer Sciences offers two distinct Master of Software Engineering pathways designed for different career goals. The Master of Software Engineering (MSWE) is a professionally-oriented program offering both 15-month full-time and 24-month part-time tracks, specifically tailored for working professionals and career changers. This program emphasizes practical skills through internships and industry capstone projects, with comprehensive coverage of AI for Software Engineering (AI4SE) tools and Software Engineering for AI (SE4AI) systems. For those seeking research-focused training, the M.S. Software Engineering (MSSE) program provides a heavily research-oriented experience requiring thesis completion and designed as preparation for doctoral studies or research careers in corporate and government laboratories. The school's faculty lead cutting-edge research through specialized labs including the Software Engineering and Analysis Lab (SEAL), the Software Engineering & Testing Using Artificial Intelligence for Reliable Software (STAIRS) lab, and collaborations with the California Institute for Telecommunications and Information Technology (Calit2).
Degree Programs: BS (4 years); MS; PhD
Research Labs: Software Engineering and Analysis Lab (SEAL) - Software engineering research and analysis; Software Engineering & Testing Using Artificial Intelligence for Reliable Software (STAIRS) - AI-enhanced software testing and reliability; California Institute for Telecommunications and Information Technology (Calit2) - Telecommunications and information technology research
Industry Partners: Amazon, Google, Microsoft, Meta
Career Outcomes: | Top Employers: Amazon, Amazon Web Services (AWS), Capital One, Google, Microsoft, Meta, Costar Group, Veeva Systems, Northrop Grumman
Notable Faculty: Marios C. Papaefthymiou (Dean of Donald Bren School of Information and Computer Sciences)
Admissions:
#5. University of California-Santa Barbara
Location: Santa Barbara, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 90% | Score: 87.8
What makes University of California-Santa Barbara stand out: UCSB CS excels in machine learning, distributed systems, and data science research. Strong emphasis on undergraduate research opportunities. Growing tech presence in Santa Barbara with Amazon, Google, and startups nearby.
Hakia Insight: With a 26% acceptance rate, University of California-Santa Barbara's machine learning & data science program is among the nation's most competitive, attracting top talent to its nationally recognized faculty.
Program Overview: UC Santa Barbara CS department is ranked top 40 nationally with strong research in machine learning, data science, and systems. Beautiful coastal campus with 90% graduation rate and strong tech industry connections.
Degree Programs: MS in Computer Science (2 years); PhD in Computer Science (4-6 years); PhD in Statistics and Applied Probability; BS/MS Combined Computer Science
Research Labs: Center for Responsible Machine Learning - AI ethics, fairness, bias, privacy, transparency; Center for Financial Mathematics and Actuarial Research - quantitative finance and probabilistic methods; Data Science Initiative - statistical data science; Center for Scientific Computing at California NanoSystems Institute - computational methods
Industry Partners: Amazon, Google, Microsoft
Career Outcomes: | Top Employers: Amazon, Google, Microsoft, Apple, Meta | Common Roles: Software Engineer, Data Scientist, ML Engineer
Admissions: | Acceptance Rate: 26%
Accreditations: ABET Accredited
#6. University of Washington-Seattle Campus
Location: Seattle, WA | Type: Public | Tuition: $11,524/year | Graduation Rate: 97% | Score: 87.6
What makes University of Washington-Seattle Campus stand out: UW's engineering-focused AI/ML program is uniquely designed as a stackable degree system where working engineers can earn certificates that build toward a master's, with Boeing Company funding support and specializations spanning everything from robotics to materials science.
Hakia Insight: University of Washington-Seattle Campus's partnerships with Boeing Company and Amazon translate research into real-world experience — a key differentiator for hiring managers.
Program Overview: The University of Washington-Seattle Campus offers two distinct machine learning pathways: the Master of Science in Artificial Intelligence and Machine Learning for Engineering and the Master of Science in Data Science. The AI/ML for Engineering program is a flexible, stackable degree launching Fall 2026 that's specifically designed for working engineers who want to apply AI and ML to physical systems like manufacturing, robotics, and chemical processes. Built with Boeing Company funding support, this program can be completed fully online part-time or as a full-time student, combining foundational AI/ML skills with domain-specific training across multiple engineering disciplines. The complementary MSDS program has been operating since earlier and focuses on professional data science careers, meeting evenings on campus with an industry-relevant curriculum covering statistical modeling, data visualization, and software engineering. Both programs leverage UW's position as a top-10 global university with deep Seattle tech industry connections.
Degree Programs: BS in Computer Science (AI/Machine Learning track) (4 years); MS in Machine Learning (2 years); MS in Computer Science (AI track) (2 years); PhD in Computer Science (AI/ML) (5-6 years)
Research Labs: AI Institute for Dynamic Systems - Real-time learning and control of complex dynamic systems; AI Center for Dynamics & Control - Data-driven discovery and control of dynamical systems; eScience Institute - Data-intensive discovery across all fields using large, complex datasets; SMARTS Lab - Scale-independent Multimodal Automated Real Time Systems
Industry Partners: Boeing Company, Amazon, JP Morgan Chase & Co., Costco IT, Zillow
Career Outcomes: | Top Employers: JP Morgan Chase & Co., Parsons Corporation, IBM, Costco IT, Toyota, Northrop Grumman, Zillow, Seattle Children's Hospital | Common Roles: Software Engineer, Research Scientist, Data Scientist, Consultant
Notable Faculty: Steve Brunton (Machine learning for dynamical systems, sparse sensing, dimensionality reduction); Ashis Banerjee (Automated decision-making for cyber-physical systems, optimization, machine learning); Taylor Kessler Faulkner (AI, human-robot interaction, assistive robotics)
Admissions: GPA: 3.0 minimum cumulative GPA required
Accreditations: ABET accredited
#7. University of California-Davis
Location: Davis, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 91% | Score: 87.4
What makes University of California-Davis stand out: UC Davis CS students developed and taught their own upper-division Android course covering 73% of global mobile devices. iPhone programming course fills within hours. Students can become iOS developers for ASUCD working on the UC Davis Mobile app.
Program Overview: UC Davis CS department offers mobile development courses including student-taught Android app development and popular iOS/iPhone programming classes. Students can work on the official UC Davis Mobile app as iOS developers.
Degree Programs: Master of Science in Business Analytics (not specified); Master of Professional Accountancy with Machine Learning (not specified); Bachelor of Arts in Statistics (4 years); Bachelor of Science in Statistics (4 years)
Research Labs: Computer Science Research - Mobile and software systems
Industry Partners: Sacramento and Bay Area tech
Career Outcomes:
Notable Faculty: Nam Tran (Machine learning algorithms for healthcare applications, particularly acute kidney injury and sepsis detection)
Admissions:
#8. Columbia University in the City of New York
Location: New York, NY | Type: Private | Tuition: $64,526/year | Graduation Rate: 100% | Score: 85.4
What makes Columbia University in the City of New York stand out: Columbia CS uniquely combines Ivy League academic rigor with Manhattan's tech ecosystem, offering specialized pathways like the dual MS in Journalism and Computer Science and faculty-invite-only personalized tracks that leverage the university's position as a global research hub in one of the world's major technology centers.
Hakia Insight: Columbia University in the City of New York's Causal Artificial Intelligence Lab creates a direct research-to-career pipeline with New York City Tech Industry, bridging academic research and industry practice.
Program Overview: Columbia University's Computer Science program sits at the heart of Manhattan's vibrant tech ecosystem, offering a comprehensive Master of Science degree that spans ten specialized pathways from Machine Learning to Computational Biology. The 30-credit program requires students to complete coursework at the 4000 level or above, with at least 6 points at the advanced 6000 level, while maintaining a 2.7 GPA. What sets Columbia apart is its faculty-determined pathway system that allows deep specialization in areas like Computer Security, Natural Language Processing, Vision Graphics Interaction and Robotics, and Software Systems, alongside unique offerings like the dual MS in Journalism and Computer Science. The program leverages Columbia's position in New York City to provide unparalleled industry connections and career opportunities across multiple sectors. Students can participate in state-of-the-art research within the department's specialized labs and research groups, while the Columbia Video Network (CVN) option extends access to working professionals. The department also offers an innovative MS Bridge Program and maintains strong ties to Columbia Engineering's broader research ecosystem, including partnerships with the Data Science Institute and various interdisciplinary centers.
Degree Programs: MS in Computer Science (2 years); Dual MS in Journalism and Computer Science (5 semesters); MS Bridge Program (2 years); Computer Engineering MS (2 years)
Research Labs: Causal Artificial Intelligence Lab - Causal inference and AI; Machine Learning @ Columbia - General machine learning research; Computational Imaging Biomarker Group (CBIG) - Quantitative imaging biomarkers for cancer screening, prognosis, and treatment; Laboratory of AI and Biomedical Science (LABS) - AI/ML methods for multi-organ, multi-omics data in human aging and disease; Medical Imaging and Physics Lab - Medical image acquisition technique improvement using physics and engineering; Payabvash Lab - Advanced neuroimaging, data analysis, and machine learning for clinical practice; Ultrasound and Elasticity Imaging Laboratory - Ultrasound-based imaging and therapy tools for brain, heart, vessels, and nerves
Industry Partners: New York City Tech Industry
Career Outcomes:
Notable Faculty: Dr. David Blei (Machine learning and probabilistic modeling); Dr. Elias Bareinboim (Causal inference); Dr. Daniel Hsu (Statistical machine learning); Dr. Carl Vondrick (Computer vision); Dr. Shih-Fu Chang (Computer vision and multimedia); Dr. Alexandr Andoni (Machine learning algorithms); Dr. Toniann Pitassi (Computational complexity and machine learning theory); Dr. Adam Block (Machine learning theory); Dr. Yunzhu Li (Robotics and machine learning); Dr. Nakul Verma (Machine learning theory)
Admissions: GPA: Minimum 2.7 GPA to maintain standing
#9. University of California-Santa Cruz
Location: Santa Cruz, CA | Type: Public | Tuition: $11,834/year | Graduation Rate: 93% | Score: 84.7
What makes University of California-Santa Cruz stand out: UCSC pioneered the academic study of games and is consistently ranked among the top 5 game design programs worldwide, with a unique location just one hour from Silicon Valley enabling direct industry connections while maintaining a research-focused academic environment.
Hakia Insight: University of California-Santa Cruz's partnerships with Apple and Google translate research into real-world experience — a key differentiator for hiring managers.
Program Overview: UC Santa Cruz's Bachelor of Science in Computer Science: Computer Game Design represents one of the most prestigious and comprehensive game development programs in the world. This four-year undergraduate degree program uniquely fuses technical engineering prowess with artistic vision, focusing on the construction and design of interactive computer games. Students dive deep into the technical, narrative, and artistic foundations of game development, culminating in an intensive year-long game project sequence during their final year where they create professional-quality games from concept to completion. The program is consistently ranked among the top game design programs globally, holding the #5 spot for best game/simulation development program in the nation according to U.S. News & World Report 2024. What sets UCSC apart is its interdisciplinary approach spanning multiple divisions, fostering collaboration between engineering, arts, and social sciences. The program operates through the Baskin School of Engineering's Computational Media Department, which houses world-class research faculty and the Center for Computational Experience - an interdisciplinary research center focused on human-computer interaction and technology for games and play.
Degree Programs: B.S. Computer Science: Computer Game Design (4 years); B.A. Art & Design: Games + Playable Media (4 years); M.S. Games + Playable Media (5 quarters (1.67 years)); M.S. Computational Media (2 years)
Research Labs: Center for Computational Experience - Interdisciplinary research center focused on human computer interaction and technology for games and play; Alternative Learning Technologies and Games (ALT Games) Lab - Intersection of games, human-computer interaction, and learning science
Industry Partners: Apple, Google, Microsoft Research
Career Outcomes: | Common Roles: Gameplay engineer, Computer game designer, Computer game producer, Animation and graphics programming, Technical artist, Software engineering, Web development
Notable Faculty: Katherine Isbister (Human Computer Interaction and Games Research, emotion and social connection in digital experiences); Edward Melcer (Games, human-computer interaction, and learning science with focus on novel interfaces)
Admissions:
Accreditations: ABET accredited (computer science program)
#10. Cornell University
Location: Ithaca, NY | Type: Private | Tuition: $65,204/year | Graduation Rate: 95% | Score: 83.8
What makes Cornell University stand out: Cornell uniquely offers both a fully-funded research MS in Ithaca with mandatory teaching experience and a one-year industry-focused MEng at Cornell Tech in NYC, where students build actual products for real companies through the first-of-its-kind Studio curriculum.
Hakia Insight: Cornell University's partnerships with Google and Grammarly translate research into real-world experience — a key differentiator for hiring managers.
Program Overview: Cornell University offers multiple pathways into computer science graduate education, each with distinct advantages for different career trajectories. The Master of Science in Computer Science, housed at Cornell's Ithaca campus, represents a highly selective, research-intensive program that combines advanced coursework with mandatory thesis research and teaching assistantships. This four-semester program requires 34 credit hours, including 6-12 credits of thesis research, and provides full funding through teaching assistantships for students maintaining good standing. In New York City, Cornell Tech offers a one-year Master of Engineering in Computer Science designed for immediate industry impact, featuring the innovative Studio curriculum where students build complete digital solutions for real companies in cross-disciplinary teams with business and law students. The Ithaca MS program particularly appeals to self-motivated researchers who thrive in mentoring environments, as students gain valuable teaching experience with undergraduates while conducting specialized research. Cornell Tech's Manhattan location provides direct access to NYC's tech ecosystem, with students working on innovation challenges from real companies and learning from faculty with extensive industry experience. Both programs benefit from Cornell's broader research infrastructure, including world-class facilities like the Cornell Center for Advanced Computing and specialized research groups in artificial intelligence, security and privacy, and human-computer interaction.
Degree Programs: Certificate in Applied Machine Learning and AI (4 months); Master of Engineering in Data Science and Decision Analytics; Master of Engineering in Computer Science; Master of Engineering in Computer Science; Jacobs Technion-Cornell Dual MS Degrees (2 years); PhD
Research Labs: Initiative for Cryptocurrencies & Contracts (IC3) - Blockchain science and cryptocurrency research; Digital Life Initiative (DLI) - Ethics, policy, and quality of life in socio-technical systems; People-Aware Computing Lab - Mobile sensing systems for capturing human context and activities; XR Collaboratory (XRC) - Augmented reality, virtual reality, and mixed reality research
Industry Partners: Google, Grammarly, IBM, Bill & Melinda Gates Foundation
Career Outcomes: Placement Rate: 90% of Cornell Tech CS graduates accept Software Developer roles | Top Employers: Google, Facebook, Amazon, Microsoft | Common Roles: Software Developer, Product Manager, Program Manager, Data Scientist, Research positions
Notable Faculty: Vitaly Shmatikov (Digital privacy, computer security, machine learning security); Yoav Artzi (Natural language processing, machine learning); Noah Snavely (Computer vision, computer graphics); Helen Nissenbaum (Ethics and policy in technology)
Admissions:
Accreditations: AI for Engineers Certificate available at Cornell Tech
Best Machine Learning Programs - Compare Top 5 Bachelor's
| School | Location | Type | Tuition | Grad Rate | Score |
|---|---|---|---|---|---|
| #1 University of California-Berkeley | Berkeley, CA | Public | $11,834 | 96% | 100.0/100 |
| #2 University of California-Los Angeles | Los Angeles, CA | Public | $11,834 | 92% | 93.4/100 |
| #3 University of California-San Diego | La Jolla, CA | Public | $11,834 | 81% | 90.6/100 |
| #4 University of California-Irvine | Irvine, CA | Public | $11,834 | 96% | 88.8/100 |
| #5 University of California-Santa Barbara | Santa Barbara, CA | Public | $11,834 | 90% | 87.8/100 |
Online Programs
Flexibility & Lower Cost
On-Campus Programs
Networking & Experience
Online Programs
Flexibility & Lower Cost
On-Campus Programs
Networking & Experience
Complete Rankings: Best Machine Learning Bachelor's Programs 2026
| Rank | |||||
|---|---|---|---|---|---|
| 1 | University of California-Berkeley | Berkeley, CA | $11,834 | 96% | 100 |
| 2 | University of California-Los Angeles | Los Angeles, CA | $11,834 | 92% | 93.4 |
| 3 | University of California-San Diego | La Jolla, CA | $11,834 | 81% | 90.6 |
| 4 | University of California-Irvine | Irvine, CA | $11,834 | 96% | 88.8 |
| 5 | University of California-Santa Barbara | Santa Barbara, CA | $11,834 | 90% | 87.8 |
| 6 | University of Washington-Seattle Campus | Seattle, WA | $11,524 | 97% | 87.6 |
| 7 | University of California-Davis | Davis, CA | $11,834 | 91% | 87.4 |
| 8 | Columbia University in the City of New York | New York, NY | $64,526 | 100% | 85.4 |
| 9 | University of California-Santa Cruz | Santa Cruz, CA | $11,834 | 93% | 84.7 |
| 10 | Cornell University | Ithaca, NY | $65,204 | 95% | 83.8 |
| 11 | University of Southern California | Los Angeles, CA | $66,640 | 92% | 83.1 |
| 12 | University of Maryland-College Park | College Park, MD | $9,889 | 84% | 81.8 |
| 13 | Stony Brook University | Stony Brook, NY | $7,070 | 89% | 81.1 |
| 14 | University of North Carolina at Chapel Hill | Chapel Hill, NC | $7,019 | 93% | 80.9 |
| 15 | San Diego State University | San Diego, CA | $5,742 | 83% | 80.9 |
| 16 | University of California-Riverside | Riverside, CA | $11,834 | 83% | 77.6 |
| 17 | Carnegie Mellon University | Pittsburgh, PA | $62,260 | 98% | 77.6 |
| 18 | California Institute of Technology | Pasadena, CA | $60,816 | 88% | 77.3 |
| 19 | University of Massachusetts-Amherst | Amherst, MA | $16,591 | 90% | 77.3 |
| 20 | Princeton University | Princeton, NJ | $59,710 | 96% | 76.9 |
| 21 | University of Illinois Urbana-Champaign | Champaign, IL | $14,768 | 90% | 76.9 |
| 22 | University of California-Merced | Merced, CA | $11,834 | 95% | 76.1 |
| 23 | Brown University | Providence, RI | $65,656 | 96% | 76 |
| 24 | California Polytechnic State University-San Luis Obispo | San Luis Obispo, CA | $5,742 | 100% | 75 |
| 25 | Tufts University | Medford, MA | $66,358 | 81% | 74.8 |
Showing 1–25 of 50
How Much Does a Machine Learning & Data Science Bachelors Degree Cost?
The total cost of a bachelors's degree in Machine Learning & Data Science ranges from $60,000 at public universities to over $240,000 at elite private institutions. Financial aid, scholarships, and in-state tuition significantly reduce out-of-pocket costs (Research.com, University catalogs).
- Public University (In-State): $15,000/year × 4 years = $60,000 total
- Public University (Out-of-State): $35,000/year × 4 years = $140,000 total
- Private University: $60,000/year × 4 years = $240,000 total
- Online Programs: $20,000/year × 4 years = $80,000 total
With median starting salaries of $158,420, most graduates achieve positive ROI within 3-5 years. Financial aid recipients often pay 30-50% less than sticker price.
Leave blank to use average cost for selected program type
+907%
Net gain divided by total investment. ROI above 200% is considered excellent for education investments.
$1,677,254
Your additional lifetime earnings with this degree vs. working without one, minus the total investment.
5 years
Years until your cumulative earnings exceed total investment. Shorter programs often break even faster due to lower opportunity cost.
$133,333
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.
Tuition plus opportunity cost (earnings you miss while in school)
Direct cost of the degree program
4 years × $35K/year foregone salary while studying full-time
Projected career earnings starting after graduation, with salary growth
What you'd earn working at $35K/year with 2% annual growth
Median salary for this role in your selected location (BLS 2024)
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
Bachelor of Arts vs Bachelor of Science in Machine Learning & Data Science
| Factor | Bachelor of Arts (BA) | Bachelor of Science (BS) |
|---|---|---|
| Math Requirements | Not typically offered for ML | Calculus I-III, Linear Algebra, Probability Theory, Optimization, Differential Equations |
| Science Requirements | Not applicable | Advanced CS, statistical methods, ML theory |
| Core Credits | Not applicable | Heavy technical core: 70+ credits in math/CS/ML |
| Liberal Arts | Not applicable | Research methods, technical communication, ethics in AI |
| Career Focus | Not applicable | ML Engineer, Research Scientist, Deep Learning Engineer |
Source: CMU, Stanford, MIT curriculum analysis
Getting Started: No Prior Experience Needed
A Machine Learning bachelor's degree requires no prior programming or technical experience. According to the National Center for Education Statistics, over 70% of students entering technical degree programs have no prior coding background. Programs are designed to take complete beginners to job-ready professionals over four years.
What to Expect Your First Year:
- Introduction to programming fundamentals (typically Python or Java)
- Mathematics foundations including calculus, discrete math, and linear algebra
- Computer systems basics and computational thinking
- Problem-solving methodologies and algorithmic thinking
Research from Computing Research Association shows that students who engage with tutoring services and study groups in their first year have 23% higher retention rates. Most universities offer dedicated support including office hours, peer tutoring, and programming labs. Success comes from consistent practice—not prior experience.
General Education Requirements
Bachelor's programs typically require 40-60 credit hours of general education courses alongside your Machine Learning major. These requirements, mandated by regional accreditation bodies, ensure graduates develop well-rounded communication and critical thinking skills valued by employers.
Common General Education Requirements:
- English Composition (6 credits) — Technical writing skills are essential; 89% of developers write documentation weekly (Stack Overflow Survey 2024)
- Mathematics (6-12 credits) — Calculus I & II, plus statistics for data-focused roles
- Natural Sciences (6-8 credits) — Physics is particularly relevant for hardware-adjacent specializations
- Social Sciences/Humanities (6-12 credits) — Ethics courses increasingly important given AI regulation
- Communication (3 credits) — Presentation skills for technical demos and stakeholder meetings
Pro tip: Many schools allow AP/IB credits or CLEP exams to satisfy gen-ed requirements, potentially saving $3,000-$10,000 in tuition. Check your target school's transfer credit policies before enrolling.
Campus Resources for Students
Top Machine Learning programs provide extensive support infrastructure to help students succeed. According to EDUCAUSE research, students who utilize campus resources are 34% more likely to graduate on time.
Essential Campus Resources:
- Computer Labs — 24/7 access to high-performance workstations, often with specialized software (MATLAB, AWS credits, GPU clusters)
- Career Services — Resume reviews, mock interviews, and direct recruiter connections; top programs host 50+ tech companies annually
- Tutoring Centers — Free peer tutoring for programming, math, and core courses; many offer drop-in hours
- Student Organizations — ACM chapters, hackathon teams, and Women in Computing groups provide networking and project experience
- Research Opportunities — Undergraduate research positions with faculty can lead to publications and graduate school recommendations
When evaluating programs, ask about student-to-advisor ratios. The NACADA recommends no more than 300:1 for effective academic advising, though top tech programs often achieve 150:1 or better.
Internships & Co-op Programs
Machine Learning internships offer the highest compensation of any undergraduate major, with an average hourly wage of $24.76 according to the National Association of Colleges and Employers (NACE) 2024 Report. Top-tier companies pay significantly more—often 3-5x the average rate.
Top Employers for Machine Learning Interns:
- Google — $8,000-$10,000/month plus housing stipends at major tech hubs
- Amazon — $7,500-$9,500/month plus housing stipends at major tech hubs
- Microsoft — $7,000-$9,000/month plus housing stipends at major tech hubs
- Meta — $6,500-$8,500/month plus housing stipends at major tech hubs
- Apple — $6,000-$8,000/month plus housing stipends at major tech hubs
53% of interns receive full-time job offers from their internship employers (NACE 2024). For paid internships specifically, the conversion rate jumps to 70-75%. Most applications open August-October for the following summer—start preparing early.
For salary expectations after graduation, see our ML engineer salary guide.
Career Paths
Machine Learning Engineer
SOC 15-1299Design and implement ML systems for production environments, focusing on model deployment, monitoring, and optimization.
Data Scientist
SOC 15-2051Analyze complex datasets to extract insights and build predictive models for business decision-making.
Software Engineer
SOC 15-1252Develop software applications with ML capabilities, integrating AI features into user-facing products.
Research Scientist
SOC 15-1221Conduct cutting-edge ML research in academic or industry settings, publishing findings and developing new algorithms.
Bachelor's vs Associate's vs Bootcamp
Choosing between a bachelor's degree, associate's degree, or coding bootcamp depends on your career goals, timeline, and budget. Each path offers distinct advantages for entering the Machine Learning field.
Bachelor's Degree (4 years, $40K-$160K)
- Comprehensive theoretical foundation plus hands-on skills
- Required for most senior/management positions and graduate school
- Median starting salary: $75,000 (NACE 2024)
- Best for: Students seeking long-term career growth and research opportunities
Associate's Degree (2 years, $10K-$30K)
- Faster entry into entry-level positions
- Many credits transfer to 4-year programs (2+2 pathway)
- Median starting salary: $50,000-$60,000
- Best for: Career changers or those testing interest before committing to 4 years
Coding Bootcamp (12-24 weeks, $10K-$20K)
- Intensive, job-focused training on current industry tools
- Many offer income share agreements (ISAs) or deferred tuition
- Median starting salary: $65,000-$80,000 for graduates with strong portfolios
- Best for: Career changers with self-discipline; see our Machine Learning bootcamp rankings
For a detailed ROI comparison, read our analysis: Bootcamp vs Master's Degree: Which Has Better ROI?
Preparing for Graduate School
A bachelor's in Machine Learning provides an excellent foundation for graduate study. According to the Computing Research Association, 25% of CS bachelor's graduates pursue advanced degrees within five years of graduation, with master's holders earning 20-30% more than bachelor's-only peers.
Preparing for Graduate School During Your Bachelor's:
- Maintain GPA above 3.5 — Most competitive programs require 3.3+ minimum; top-10 programs average 3.7+
- Secure research experience — 2+ semesters with faculty dramatically improves PhD admission chances
- Build faculty relationships — You will need 3 strong recommendation letters; start early
- Take graduate-level courses — Many programs allow undergrads to enroll; demonstrates readiness
- Prepare for GRE (if required) — Quantitative scores above 165 expected for top programs
Graduate Degree Options:
- Master's (1-2 years) — Career-focused; average salary boost of $15,000-$25,000; see our best Machine Learning master's programs
- PhD (4-6 years) — Research-focused; typically fully funded with $30,000-$45,000 stipend; required for professorships and research scientist roles
- Professional Master's — Industry-sponsored programs (Google, Facebook) combine coursework with company projects
Which Program Type Is Right for You?
- You want access to cutting-edge research and top faculty
- Strong academic background with high test scores and GPA
- Family can afford $60,000+ annual tuition or qualify for need-based aid
- Interested in research or graduate school
- Want prestigious brand name for career advancement
- Seeking excellent education with lower tuition costs
- Strong academic preparation but cost-conscious
- Prefer larger research universities with diverse opportunities
- Want access to extensive alumni networks
- Interested in both research and industry career paths
- Want to stay close to home or in specific geographic region
- Prioritize practical skills and job placement over research
- Prefer smaller class sizes and more personal attention
- Looking for competitive tuition rates
- Interested in local internship and job opportunities
Coding Bootcamps: An Alternative to a Machine Learning & Data Science Degree
Coding bootcamps offer an accelerated pathway into tech careers, typically lasting 3-6 months. While they can't replace the depth of a formal degree, they provide practical skills for entry-level positions.
What is a Coding Bootcamp?
A coding bootcamp is an intensive, short-term training program designed to teach practical programming and tech skills. Unlike traditional degrees, bootcamps focus on job-ready skills and real-world projects.
Who Bootcamps Are Best For
- Career changers looking for a fast entry into tech
- Professionals wanting to add coding skills
- Those who prefer hands-on learning over academics
- Budget-conscious learners
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
Explore Bootcamps with Springboard
Springboard offers career-focused bootcamps with 1-on-1 mentorship from industry professionals. Their programs include a job guarantee—complete all requirements, and if you don't land a qualifying role, you may be eligible for a full tuition refund.
Programs for Machine Learning & Data Science careers:
- Software Engineering Career Track
- Data Science Career Track
- Cybersecurity Career Track
We may earn a commission when you use our affiliate link and coupon.
Frequently Asked Questions About Machine Learning & Data Science Degrees
Based on 50 programs from IPEDS 2023, BLS OES May 2024
Ranking Factors
6-year completion rate from IPEDS 2023
Degree completions (sqrt normalized, capped at 500)
Admission rate (lower = more selective)
State-specific salary data from BLS OES 2024
Return on investment from tuition costs relative to expected earnings.
Data Sources and Methodology
Employment projections and salary data for computer and information research scientists
Graduation rates, post-graduation earnings, and institutional data
Comprehensive higher education statistics including enrollment and degree completion
Return on investment calculations and salary progression data
Analysis of ML-related publications in top-tier conferences and journals
Direct outreach to program administrators regarding industry collaboration and job placement
How to Choose the Right Machine Learning Program
Selecting the right machine learning bachelor's program requires careful consideration of multiple factors beyond just rankings. Students should evaluate programs based on their career goals, learning style, and financial situation.
Research focus areas of faculty members to ensure alignment with your interests. If you're passionate about computer vision, look for programs with strong imaging research labs. For natural language processing enthusiasts, seek out schools with active NLP research groups and industry partnerships with companies like Google, Microsoft, or OpenAI.
Consider the geographic location and its impact on internship and job opportunities. Programs in tech hubs like Silicon Valley, Seattle, and Boston offer more internship opportunities and stronger alumni networks in the industry. However, emerging tech centers like Austin, Atlanta, and Research Triangle Park also provide excellent opportunities often with lower living costs.
Evaluate the balance between theoretical foundations and practical applications. Some programs emphasize mathematical rigor and research preparation, while others focus more on applied skills and industry readiness. Consider whether you plan to pursue graduate school or enter the workforce immediately after graduation.
Financial considerations are crucial given the wide range of tuition costs. While top private schools offer exceptional programs, many public universities provide excellent education at significantly lower cost. Calculate the total cost of attendance including living expenses and consider the return on investment based on expected starting salaries.
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.