The 7 Best AI Masters Degree Programs in California for 2027

California offers 38 AI masters degree programs for students to choose from, positioning the state as a national leader in artificial intelligence education. AI-skilled workers command a 56% wage premium over peers in similar roles, while master’s graduates in California earn a median salary of $145,770. In fact, 71% of executives now prefer AI skills over industry experience alone. These AI graduate programs prepare you for careers in healthcare, finance and technology. Therefore, choosing the right artificial intelligence degree programs can accelerate your career trajectory and earning potential in this field that’s growing faster than most.

1. University of California, Berkeley – Master of Science in Artificial Intelligence

UC Berkeley’s approach to AI graduate education is different from traditional standalone programs. The university doesn’t offer a dedicated master’s in artificial intelligence. Instead, it provides MS and MEng programs through the Department of Electrical Engineering & Computer Sciences (EECS) that you can tailor to AI specializations. The two-year Master of Science programs serve as a pathway to PhD studies, with very few students admitted to MS-only tracks. Most successful applicants enter through the MS/PhD combined program.

The professional alternative comes through the on-campus Master of Engineering (MEng), a terminal degree offering specializations in data science and robotics. It lacks a formal AI concentration, though. Meanwhile, the university’s online Master of Information and Data Science (MIDS) program provides another route for working professionals seeking AI and machine learning expertise.

Curriculum and Specializations

Work in artificial intelligence within Berkeley’s EECS department spans foundational research in deep learning, knowledge representation, reasoning, learning, planning, decision-making, vision, robotics, speech, and natural language processing. You’ll have opportunities to cooperate with faculty at the Berkeley Artificial Intelligence Research Lab (BAIR), one of the most prestigious AI research centers around the world.

The curriculum draws from multiple disciplines. Research in AI involves techniques from statistics, neuroscience, control, optimization, and operations research. Students benefit from active collaborations with campus-wide groups including the vision sciences program, the information retrieval group at the I-School, and the computational biology program. Connections extend to cognitive sciences, including psychology, linguistics, and philosophy.

The online MIDS program features a multidisciplinary curriculum combining computer science, artificial intelligence, machine learning, social sciences, statistics, management, and law. Key specialization areas include Machine Learning & Deep Learning, Generative AI & LLMs, Natural Language Processing, Data Engineering & Infrastructure, AI Ethics, Policy & Responsible Innovation, Applied Statistics & Research Design, and Product Thinking & Communication.

Admission Requirements

Berkeley maintains selective admission standards for its AI-related programs. You need a bachelor’s degree from an accredited institution with a minimum GPA of 3.0 on a 4.0 scale. International applicants must demonstrate English proficiency through TOEFL (minimum 90 iBT) or IELTS (minimum 7.0 overall band score).

The GRE is no longer required nor accepted for EECS graduate programs. Your application must include three letters of recommendation uploaded as PDFs, with professors as preferred sources. You’ll submit two distinct essays: a Statement of Purpose explaining your research goals and interests, and a Personal History Statement detailing how your background prepared you for this field.

Additional requirements include unofficial transcripts from all institutions attended, a current resume or CV, and an application fee of $135 for domestic or $155 for international applicants.

Tuition and Financial Aid

For the online MIDS program starting Fall 2025, estimated total tuition and fees reach $82,096, excluding health insurance. Most students complete the degree in two years. The 27-unit program charges fees per enrolled unit and per semester.

Students must maintain health insurance meeting university criteria. The UC Student Health Insurance Plan (UC SHIP) costs $3,924 per fall/spring semester and $1,979 for summer 2026. You can waive this with qualifying alternative coverage, though.

U.S. citizens and permanent residents qualify for federal financial aid programs. Starting July 1, 2026, federal loans may no longer cover full attendance costs for many graduate students. New borrowers will be limited to $20,500 per year and $100,000 lifetime for graduate degrees.

Career Outcomes and Salary Expectations

MIDS graduates achieve strong employment outcomes. As of 2024, the median salary for U.S.-based alumni reaches $147,800. Between 50% to 78% of graduates report salary increases shortly after graduation. Over 60% start new jobs or receive promotions and move into roles at leading organizations.

Top employers for MIDS alumni include Alphabet, Meta, Amazon/Amazon Web Services, Microsoft, Apple, Intel, Northrop Grumman, Oracle, Cisco, and IBM. The program reports a 63% success rate for students securing new roles. Organizations seek professionals who can develop data strategies, communicate insights to diverse stakeholders, build and scale machine learning models, and lead analytical initiatives.

Graduates secure emerging and traditional analytics roles including Machine Learning Engineer, Data Engineer, Business Intelligence Engineer, and data scientist positions. The program’s small-scale format of 15-20 students per class will give personalized mentorship and immediate faculty access, contributing to strong career advancement.

2. Stanford University – Master of Science in Computer Science (AI Specialization)

Stanford’s Master of Science in Computer Science with AI specialization ranks among the most competitive artificial intelligence degree programs worldwide. The program requires 45 units of coursework. It takes 1.5 years on average to complete. As a terminal professional degree, the MS CS does not lead directly to a PhD. Students seeking doctoral work should apply separately to the PhD program. Admission into doctoral studies from the master’s program is nowhere near assured.

The program offers flexibility through its structure. You can pursue tracks based entirely on coursework or incorporate research components. Students interested in research may pursue an MS degree with distinction in research. This requires a half-time research commitment over three academic quarters and a research report of publishable quality. The Honors Cooperative Program (HCP) provides a part-time option for full-time employees residing in the United States. Eligibility extends to international students employed and located domestically.

Curriculum and Specializations

Stanford offers nine predefined specializations within the MS CS program. The AI specialization includes principles and techniques among foundational material on logic, probability, and language. Core topics include knowledge representation, logical reasoning, robotics, machine learning, probabilistic modeling and inference, natural language processing, cognition, and domain applications in biology and text processing.

Sample courses within the AI track include CS 221 (AI Principles & Techniques), CS 224N (Natural Language Processing with Deep Learning), and CS 229 (Machine Learning). You can switch specializations at any time. Complete a new program sheet and secure advisor approval. Note that AI, Information Management and Analytics, and Systems specializations can be completed entirely through online coursework. Other tracks require on-campus attendance for some classes.

Your program sheet serves as a contract with the department and details degree requirements. The 45-unit requirement includes at least 36 graded units with a minimum 3.0 GPA. Students must complete foundation courses unless waived through evidence of equivalent prior coursework. Foundation units cannot exceed 10 total. You’ll also fulfill breadth requirements. Complete at least three courses from different areas, taken for letter grades.

Admission Requirements

A bachelor’s degree from an accredited institution is enough for admission. A computer science degree is not mandatory. Stanford seeks applicants with strong quantitative and analytical skills rather than specific undergraduate coursework. Your application package must include three recommendation letters submitted online. At least two from academic sources are preferred.

The statement of purpose must not exceed two pages single-spaced. Describe your reasons for applying, preparation for the field, research interests, and career plans. You’ll submit unofficial transcripts for all institutions attended as a full-time student for at least one year. This includes Stanford’s Non-Degree Option (NDO) program if applicable. Publications and your resume complete the application materials.

Stanford accepts TOEFL or IELTS scores for English proficiency. Exemptions apply for U.S. citizens, permanent residents, those declaring English as their first language, graduates from English-instruction universities, or applicants with two consecutive years of professional or educational experience in English within the past decade. The GRE is neither required nor accepted.

Tuition and Financial Aid

Tuition and fees for the one-year MS CS program are between $80,000 and $95,000. Factor in living expenses, health insurance, and one-time costs. Total attendance reaches approximately $100,000 to $120,000 for single-year programs. Two-year programs double living expenses and some fees.

Financial support for MS students remains limited. The Computer Science Department does not provide standard financial aid. Limited course assistant (CA) and research assistant (RA) positions offering tuition scholarships and stipends occasionally become available after matriculation. These positions first go to PhD students. Competition is intense. U.S. citizens and permanent residents may apply for loans through Stanford. International students must demonstrate sufficient funding for at least one academic year to meet immigration requirements.

Career Outcomes and Salary Expectations

Stanford MS CS graduates secure strong compensation packages. Base salaries for new graduates at top firms are between $140,000 and $190,000. Equity grants add $40,000 to $150,000 in first-year value. Signing bonuses between $10,000 and $60,000 are common. Total first-year compensation at top placements typically reaches $180,000 to $300,000.

Graduates securing U.S. tech roles can repay $110,000 in education debt within three to four years. Allocate 25% to 35% of post-tax income to loans. Non-Bay Area positions offer base salaries from $100,000 to $140,000 with correspondingly lower total compensation. Career trajectory accelerates through promotions and company switches within one to three years. Compensation often doubles faster.

3. University of California, San Diego – Master of Science in Artificial Intelligence

UCSD’s Computer Science and Engineering department offers MS degrees that can be tailored toward AI specializations, though the university lacks a standalone artificial intelligence degree program. California students who want dedicated AI graduate programs can turn to the University of San Diego, which provides an MS in Applied Artificial Intelligence with both online and on-campus formats launching Fall 2026. The online version has been operational since 2021 and spans 20 months across five semesters, whereas the full-time on-campus program compresses coursework into 16 months.

The on-campus format meets 2-3 times weekly with no summer coursework required. Online students take courses one at a time in 7-week blocks and complete two courses per 14-week semester. Both tracks require 30 total units through 10 courses: two foundational, six core, and two final courses. The online format is not available to international students, but they may pursue the on-campus option. Fortune, Master’s in AI.org, and Tech Guide recognized the program as a top AI program.

Curriculum and Specializations

The curriculum emphasizes autonomous decision-making and action execution by agents in robotics, computer vision, and text analysis applications. Students progress through probability and statistics foundations before advancing to AI and machine learning concepts. Core coursework covers neural networks spanning image recognition to sequential data processing.

You’ll complete specialized courses in AI Agents and learn fundamental concepts and popular frameworks. Natural Language Processing instruction gets into foundations and Large Language Model applications. Computer vision training combines traditional AI, machine learning, and image processing techniques. The program has dedicated coursework on engineering and deploying large language models at scale.

Ethics receives substantial attention through a required course that gets into social and environmental implications of AI technologies. The capstone experience pairs you with fellow students, instructors, and industry partners on projects that apply workplace-ready skills. Production machine learning coursework prepares you to build innovative products and research and addresses deployment challenges.

Admission Requirements

A bachelor’s degree from an accredited institution with a minimum 2.75 GPA qualifies you to apply. Candidates with lower GPAs or non-STEM degrees must submit essays that explain relevant experience, skills, and motivation, with standardized tests like GRE or GMAT encouraged. The program seeks applicants with backgrounds in software engineering, statistics, computer science, data science, information technology, or electrical engineering.

You need familiarity with calculus and linear algebra alongside programming experience in Python, C, or MATLAB. TOEFL scores of 4.5 are required from international applicants who take tests after January 21, 2026, or 83 for earlier tests, IELTS scores of 7, or Duolingo scores of 120. Your application requires a personal statement that addresses your AI strengths, career goals, and academic preparedness. Submit either one recommendation from your current supervisor or two external references. An Applied Artificial Intelligence Self-Assessment Test helps gage your readiness.

Accepted students pay a non-refundable deposit equal to 5% of first-semester tuition, applied toward initial tuition payments. Each semester has a $20 non-refundable Slack Pro Account fee for community access. You’ll need a computer with 16GB RAM, an i5 or i7 quad-core processor, and 100GB free drive space.

Tuition and Financial Aid

The program charges $995 per credit across 30 total credits, totaling $29,850. This covers course costs only and excludes books and additional fees. Payment options include full payment or an interest-free monthly plan with a $50 processing fee per term. Students receive 100% refunds when dropping both courses before the semester starts and 95% refunds within three days. No refunds apply after day three, though withdrawal by week five yields a ‘W’ grade.

UCSD graduate students face different cost structures. California residents pay approximately $40,000 annually while out-of-state students pay around $55,000. Federal Direct Unsubsidized and PLUS Loans require FAFSA completion, available from October 1 each year. Certain lenders accept private education loans that international students may pursue.

Career Outcomes and Salary Expectations

MS-AAI graduates report an average salary of $116,510. AI master’s graduates start between $115,000 and $135,000 annually, with major tech hubs exceeding $130,000. Machine Learning Engineer, AI Research Scientist, and Data Scientist positions account for 67% of job placements and grow at 28% annually. Mid-career AI professionals with 5-7 years experience earn between $180,000 and $220,000. UCSD computer science alumni with bachelor’s degrees earn $115,500 at mid-career, 37% more than the nationwide average. PhD holders in computer science average $140,600 by mid-career.

4. University of Southern California – Master of Science in Artificial Intelligence

USC’s MS in Computer Science (Artificial Intelligence) is one of the first artificial intelligence degree programs in the nation and provides rigorous training in deep learning theories and applications. The program spans 32 units of coursework without a thesis option, though Directed Research opportunities become available after your first semester. This ai graduate programs track gives international students pathways to extended practical training and is eligible for the OPT STEM extension.

Application deadlines vary by semester. Spring admission closes September 15, while Fall applicants face December 15 for scholarship consideration and January 15 as the final deadline. Your diploma will be issued by the University of Southern California, and the DEN@Viterbi online format mirrors on-campus coursework while maintaining similar academic requirements and standards.

Curriculum and Specializations

Your 32-unit program divides into 20 units of required courses and 12 units of group electives. Required coursework has CSCI 570 (Analysis of Algorithms), CSCI 561 (Foundations of Artificial Intelligence), CSCI 566 (Deep Learning and Its Applications), CSCI 567 (Machine Learning), and CSCI 571 (Web Technologies), each carrying 4 units.

Group electives require completing three courses with at least one from each category:

Fall 2024 brought additional Group 1 options that expanded to have CSCI 535, CSCI 563 (Building Knowledge Graphs), CSCI 663 (AI for Social Good), and CSCI 678 (Theoretical Machine Learning).

Admission Requirements

Your bachelor’s degree or pending completion qualifies you to apply, though most admitted students hold degrees in computer science or related fields. The department conducts holistic reviews without minimum GPA requirements and evaluates your entire academic record, quantitative abilities, and prerequisite coursework success. Letters of recommendation remain optional rather than mandatory.

The GRE is neither required nor accepted for 2027 Master’s applications. Submit electronic transcripts from all attended institutions during your application, with mailed copies requested only after admission.

Tuition and Financial Aid

Graduate tuition structures vary by school and program at USC. Merit scholarships ranging from $10,000 to $30,000 are offered by the Viterbi School for students who apply by September 1 (Spring) or December 15 (Fall). Federal Direct Loan and Graduate PLUS Loan programs serve U.S. citizens and permanent residents who complete FAFSA. Scholarships, assistantships, and private loans with qualified co-signers may be pursued by international students.

Career Outcomes and Salary Expectations

An average salary of $129,667 for MS AI graduates is reported by the 2025 First Destinations Survey. Alumni secure positions at Amazon (Software Development Engineer), Scale AI (Prompt Engineer), Meta, IBM, and Applied Medical Resources Corporation. The program made 48 total internships possible across companies that have Apple, Autodesk, Samsung Research America, Sony Interactive Entertainment, and Johnson & Johnson. Computer Science graduates from USC land 2 to 3 job opportunities, with MS programs yielding salary ranges between $100,000 and $150,000.

5. San Jose State University – Online Master of Science in Artificial Intelligence

SJSU’s online Master of Science in Artificial Intelligence climbed to #8 in TechGuide’s 2025 rankings, jumping from #32 the previous year. The Department of Computer Engineering operates two distinct tracks: an off-campus part-time program through Engineering Extended Studies for working professionals and an on-campus full-time option open to domestic and international students. The online format delivers a state-of-the-art educational experience that prepares socially responsible AI systems engineers.

Your 33-unit program spans two years and combines theoretical foundations with practical skills in data management, predictive analytics, and intelligent hardware and software systems development. The interdisciplinary approach draws from mathematics, statistical analysis, computer science, and software engineering. This makes the program ideal for backgrounds in software engineering, computer science, mathematics, or related fields.

Curriculum and Specializations

Three core courses establish your foundation: CMPE 252 (Artificial Intelligence and Data Engineering), CMPE 257 (Machine Learning), and ISE 201 (Math Foundations for Decision and Data Sciences). You’ll select one of three specializations that require 6 units from the same track.

The Intelligent Data Systems specialization covers recommender systems, deep learning, and natural language processing. Cybersecurity in AI focuses on network security applications and cybersecurity clinics with HCI. The Autonomous Systems track explores intelligent autonomous systems, deep learning applications, and reinforcement learning. You’ll complete 9 elective units with at least 3 from Area A courses such as generative AI, big data engineering, and GPU architecture. Your program concludes with a 6-unit culminating experience. You can choose either a master’s thesis with original research or an individual project developed with advisor guidance.

Admission Requirements

You need an undergraduate degree equivalent to a four-year U.S. baccalaureate in mathematics, physics, computer science, engineering, or related fields with a minimum 3.0 GPA. College-level coursework must include programming, data structures, algorithm design, a three-semester calculus sequence, linear algebra, and statistics. The GRE requirement applies to non-ABET-accredited programs. Minimum scores are 305 combined quantitative and verbal, plus 3.0 on analytical writing. International applicants must meet English proficiency standards through TOEFL, IELTS, or PTE. Accepted students pay a $200 non-refundable enrollment deposit applied toward tuition.

Tuition and Financial Aid

The program charges $1,073 per unit for Fall 2027. This totals approximately $35,409 for 33 units. Federal financial aid and scholarships remain available. Students are eligible for Federal Pell Grants through FAFSA completion. The Graduate Equity Fellowship assists economically disadvantaged students pursuing master’s degrees. Payment plans and installment options provide flexibility for most situations.

Career Outcomes and Salary Expectations

Artificial intelligence graduates in the Bay Area earn between $95,000 and $170,000 each year. SJSU data science graduates earn over $115,000 per year on average during their first decade post-graduation. Engineering graduates make over $105,000 per year, while software developers average just under $121,000. Career paths include AI architect, data scientist, machine learning engineer, and AI product manager roles at companies like Amazon, Google, Meta, Microsoft, and NVIDIA.

6. University of California, Irvine – Master of Science in Applied AI

UC Irvine targets scientists rather than computer science graduates with its AI graduate programs. The Master of Applied Artificial Intelligence for Science will launch in Fall 2026 and become the first program of its kind within the UC system. This 9-month, full-time degree addresses gaps in traditional data science offerings and gives physical and biological scientists the industry-relevant AI tools they need.

The School of Physical Sciences houses this professional degree. Students can complete it in three academic quarters with 40 required units. Applicants need no programming background or prior work experience, unlike conventional artificial intelligence degree programs. The curriculum prepares scientists who want to lead AI adoption in research and industry contexts. It fills a market gap where data and physical science expertise join.

Curriculum and Specializations

Your coursework divides into three components: 24 units of core AI, machine learning and data science instruction; 12 units dedicated to hands-on projects using ground datasets; and 4 units focused on ethics and professional development. Students progress from Python programming fundamentals through advanced AI methods that include deep neural networks and large language models. You’ll strengthen mathematical and statistical foundations while you master data engineering, visualization and ethical AI deployment in scientific contexts. Some students may extend project work into summer for an additional fee.

Admission Requirements

A bachelor’s degree in physical or biological sciences qualifies you to apply. Chemistry, physics, biology, earth sciences and mathematics are all accepted. You need a minimum 3.0 undergraduate GPA and at least one year of calculus. Three letters of recommendation complete your application, either academic or professional. International applicants must demonstrate English proficiency through TOEFL (minimum 80) or IELTS (minimum 7.0).

Tuition and Financial Aid

Total estimated costs reach about $47,700 for the three-quarter program. Financial aid options remain available for eligible students through federal programs and scholarships.

Career Outcomes and Salary Expectations

Graduates enter a strong job market where AI-skilled workers command a 56% wage premium over peers in similar roles. Opportunities span energy, biotech, national laboratories and government agencies. AI master’s graduates start between $115,000 and $135,000 a year.

7. California Institute of Technology (Caltech) – Master of Science in Computing and Mathematical Sciences (AI Track)

Caltech’s Computing and Mathematical Sciences department does not offer terminal master’s degrees. The master’s degree gets approved only in exceptional cases that require fulfillment of Institute requirements, completion of core courses, and a recommendation from the preliminary exam committee. The CMS PhD program is an interdisciplinary initiative with faculty from computer science, electrical engineering, applied mathematics, economics, operations research and physical sciences. Graduate students receive financial support packages that cover full tuition and stipends through fellowships, research assistantships or teaching assistantships.

Curriculum and Specializations

Six core CMS classes are the foundations: three in applied mathematics (ACM) and three in computer science (CS). AI research at Caltech spans machine learning, deep learning methods, neural operators, computer vision, robotics, reinforcement learning and generative AI. Faculty expertise has foundation models, learning for control, quantum computing, algorithmic game theory and biomolecular circuits.

Admission Requirements

Applications close on December 15. You need a bachelor’s degree from an accredited institution, three recommendation letters, transcripts, CV and essays. The GRE is neither required nor accepted for the 2025-2026 cycle.

Tuition and Financial Aid

Undergraduate tuition reaches $68,574 and total direct costs are $93,225. Most students with family income below $100,000 receive no-loan packages that cover tuition, fees, housing and food.

Career Outcomes and Salary Expectations

Caltech graduates earn median starting salaries between $120,000 and $129,000. AI master’s graduates start between $120,000 and $130,000 typically.

Choose Today

Choosing among these seven programs may seem overwhelming at first, but you can simplify the decision by taking one step at a time. Identify your background and career goals first. You can then assess whether you prefer research-intensive environments like UC Berkeley and Caltech or industry-focused programs like USC and SJSU. Think over factors such as program duration and specialization options, along with your geographic priorities.

You understand what each program offers now, so match your technical prerequisites and financial capacity to the right fit. California’s diverse AI master’s programs provide multiple pathways to enter this lucrative field, whatever your background—a computer science graduate or a scientist seeking AI expertise.