Artificial Intelligence Master's Degree in California

Overview

Use this page as a starting framework for Artificial Intelligence master's degree programs in California: what this level actually prepares you to do in this field, California-specific financial aid and institutions, and the concrete numbers (credits, time, and typical cost) — layered on top of the national framework covered on our national Artificial Intelligence master's degree page. A master's degree is an advanced credential built on top of a bachelor's degree, either deepening expertise in the same field (an MS in Computer Science after a CS bachelor's) or adding a professional credential in a new direction (an MBA after an undergraduate degree in an unrelated field). Some fields require a master's degree for licensure or independent practice — nurse practitioners, licensed clinical social workers, and many school counselors, for example — while in other fields it is optional and primarily useful for advancement or specialization.

A master's degree in Artificial Intelligence adds technical depth or a specialization (a specific engineering subdiscipline, or a management-track credential like an engineering MBA) on top of the ABET-accredited bachelor's degree most students already hold when they enroll. It is optional for most practicing engineering roles but common for research-oriented or specialized technical positions.

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Is this the right level for you?

Graduates seeking a licensure-required credential their field mandates beyond the bachelor's; professionals seeking a specific specialization or management-track credential; and students pursuing academic or research careers on the way to a doctoral program. Compare this against the full ladder overview on our Artificial Intelligence programs page if you're not yet sure which level in this specific field fits your goals — the right entry point varies more by field than general advice about degree levels usually acknowledges.

Curriculum at this level

A master's degree in artificial intelligence typically covers graduate-level, more advanced treatment of a subset of the topics below, building on undergraduate-level foundations most students already have, typically culminating in a thesis, applied capstone project, or comprehensive exam. This applies the same way in California as nationally, since curriculum is set at the institution level rather than the state level. Core topics commonly found across artificial intelligence programs, adjusted in depth for this level, include:

• Machine Learning
• Neural Networks and Deep Learning
• Natural Language Processing
• Computer Vision
• Probability and Statistics
• Algorithms and Data Structures
• AI Ethics and Governance
• Applied AI Capstone

Accreditation to verify

For artificial intelligence specifically, the field's primary programmatic accreditor to check is ABET (Computing Accreditation Commission) for many CS/AI programs. Confirm the accreditor you're checking actually covers the master's degree specifically, since programmatic accreditation standards can differ by degree level within the same field.

1. Search the accreditor's own program directory for the specific institution and program name.
2. Cross-check the institution's overall accreditation status in the U.S. Department of Education's Database of Accredited Postsecondary Institutions and Programs (ope.ed.gov/dapip).
3. Ask the program directly for its current accreditation status in writing if you can't find it published, and be wary if a program is vague or evasive about naming its accreditor.
4. Recheck accreditation status close to enrollment, since status can change between when you first research a program and when you actually enroll.

See our full accreditation guide, and our California overview page for state-specific institutional context.

Time, credits & cost

A master's degree typically requires 30-36 credits (some professional master's programs, including many MBA and nursing programs, require up to 50) and takes 1-3 years of full-time study, most commonly about 2 years. On cost: Highly variable by field and institution type; public in-state graduate tuition is generally lower than private, and many students fund graduate study in part through assistantships (common in research-focused fields) that include a tuition waiver and stipend.

Total cost for a Artificial Intelligence master's degree program depends far more on the specific institution and your residency status than on the field itself, but the same financial aid mechanics apply across every field on this site: the FAFSA determines eligibility for federal grants, loans, and work-study; institutional and state aid layer on top; and net price (not published tuition) is the number that actually matters for comparison. See our full financial aid guide for current federal figures, and our degree-level pages for typical credit-hour and cost ranges at each level. Where Artificial Intelligence master's degree has field-specific cost drivers — required lab fees, clinical supervision costs, licensing exam fees, or extended clinical/residency training — those are noted in the licensure section above.

Curious how this level stacks up? Here's how it compares to the other four in typical credits and duration:

Career outlook

At the master's level, expect access to more specialized, senior, or management-track versions of the roles below, generally with higher earning potential than bachelor's-level entry, though a master's degree is not required for every role listed and its value depends heavily on the specific role and employer.

Keep in mind these national BLS figures (May 2024 wages; 2024-34 projections) describe the field as a whole, not California or this degree level specifically. For California- and metro-level figures, use the BLS Occupational Employment and Wage Statistics (OEWS) program — see our careers page for how to look that up.

Licensure & certification in California

Artificial Intelligence is not a licensed profession in the way nursing or law are — there is no single required licensing exam — though specific roles within the field may expect voluntary certifications.

A master's degree in Artificial Intelligence adds technical depth or a specialization (a specific engineering subdiscipline, or a management-track credential like an engineering MBA) on top of the ABET-accredited bachelor's degree most students already hold when they enroll. It is optional for most practicing engineering roles but common for research-oriented or specialized technical positions. Where this field requires state licensure, confirm directly with California's licensing board for the profession that this level and a specific program's graduates are eligible to sit for the relevant exam — eligibility rules can vary slightly by state even within an accredited field.

Where to study artificial intelligence at the master's degree level in California

Among California's public higher-education options, University of California system (e.g., UC Berkeley, UCLA) and California State University system are generally the most recognized starting points, though many students find a better fit at a smaller regional public university, a community college, or a private institution once they compare actual program offerings, cost, and format against their specific goals. Not every institution in California offers every field at every level — confirm directly with a specific school whether it offers artificial intelligence specifically at the master's degree level before applying, since general university admission does not guarantee a specific program's availability.

Financial aid in California

Beyond federal aid (the FAFSA, Pell Grants, and federal student loans, described in our financial aid guide), California residents can apply for state-specific aid through the Cal Grant, administered by the California Student Aid Commission. Eligibility rules, award amounts, and deadlines for state aid programs like this one change from year to year and often have separate deadlines from the FAFSA itself, so confirm current details directly with the California Student Aid Commission rather than relying on any third-party summary, including this one.

Typical admission requirements

A completed bachelor's degree (often, though not always, in a related field), a minimum undergraduate GPA (commonly around a 3.0, though this varies significantly by program), letters of recommendation, a statement of purpose, and sometimes standardized test scores (GRE or GMAT, program-dependent) or relevant professional work experience, particularly for professional master's programs.

Think of these as general, national norms rather than California-specific ones — always double-check current requirements with the admissions office of any specific school you have in mind.

Format: online vs. on campus

Many Artificial Intelligence master's degree programs are now available online, in a hybrid format, or fully in person, and format flexibility has become one of the more consequential ways individual programs differ from one another. Fully online programs tend to suit working adults and students managing family or geographic constraints; in-person programs offer more direct access to labs, studios, or clinical facilities where the field requires them; hybrid formats attempt to combine both. This field does not typically require the kind of supervised clinical placement that limits online delivery at this level, though a specific program may still include an internship, practicum, or capstone with in-person or employer-site components. Whichever format you're considering, confirm institutional accreditation applies equally to the online version of the program (it generally does, since accreditation applies to the institution and program rather than the delivery method) and, if you live in a different state than the institution, confirm the program is authorized to enroll students from your state — see our locations guide for how state authorization (NC-SARA) works.

How to evaluate a specific program

1. Confirm institutional and programmatic accreditation directly, using the steps above — and confirm it applies to the master's degree specifically.
2. Compare the actual course list against the curriculum guidance above.
3. If this field requires state licensure, confirm program eligibility directly with California's licensing board.
4. Get a personalized net price using the school's net price calculator, and check eligibility for the Cal Grant through the California Student Aid Commission.
5. Use our comparison framework to weigh finalists side by side across accreditation, cost, curriculum, outcomes, and support.

See the national Artificial Intelligence master's degree page for the complete field-and-level-wide picture, or our California overview page for more state-specific institutional and aid context.

Frequently asked questions