Artificial Intelligence Doctoral Degree

Overview

Here's what to know about pursuing Artificial Intelligence specifically at the doctoral degree level: what this level actually prepares you to do in this field, how it fits with the field's real licensure and career structure, and what the concrete numbers (credits, time, and typical cost) look like — rather than marketing language from any single school. "Doctoral degree" covers two meaningfully different categories. A research doctorate (PhD, EdD) trains a graduate to conduct original research and typically culminates in a dissertation; it is the standard credential for university faculty and many senior research roles. A professional doctorate (MD, DO, JD, PharmD, DDS/DMD, DNP) is the entry-level practicing credential for a licensed profession — the primary example, not an optional add-on, in fields like medicine, law, dentistry, and pharmacy.

A doctoral degree in Artificial Intelligence supports research careers and university faculty positions. It is not required for professional engineering practice, which runs through the bachelor's degree, relevant experience, and PE licensure instead.

A clearer, more human way to research your options

Friendly editorial photography gives long research pages a natural visual pause while the detailed data, sources, tables, and guidance stay central.

Education photo via Unsplash

Is the doctoral degree the right level for you?

Students pursuing university faculty or senior research careers (PhD/EdD track); and students entering professions where the doctorate is the standard practicing credential, such as medicine, law, dentistry, and pharmacy (professional doctorate track) — see the specific program pages for fields like medicine, law, dentistry, and pharmacy for how their doctoral pathway works in practice. Compare this against the ladder overview on the main 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 most general advice about "an associate vs. a bachelor's" acknowledges, and artificial intelligence has its own specific answer described above.

Curriculum at this level

A doctoral degree in artificial intelligence typically covers advanced coursework in these and more specialized topics, followed by comprehensive exams and a dissertation, clinical residency, or equivalent original research or practice requirement, depending on the specific doctoral track. Core topics commonly found across artificial intelligence programs generally, 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

Ask any specific program at this level for its actual course list and sequencing, since the emphasis and depth of these topics — and how many of them a program actually offers at the doctoral degree level — varies by institution even when program titles look similar.

Accreditation to verify

When researching artificial intelligence programs, the field's primary programmatic accreditor to check is ABET (Computing Accreditation Commission) for many CS/AI programs. Programmatic accreditation standards can differ by degree level within the same field — some accreditors only accredit at the bachelor's level and above, for example — so confirm the accreditor you're checking actually covers the doctoral degree specifically, not just the institution's programs generally.

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 for how institutional and programmatic accreditation work together, and why the distinction matters for financial aid eligibility as well as licensure.

Time, credits & cost

A doctoral degree typically requires 30-90 credits plus a dissertation, clinical residency, or equivalent capstone research/practice requirement, depending on the type of doctorate and takes 3-7+ years beyond the bachelor's or master's degree, depending on the field and degree type. On cost: Highly variable; research doctoral (PhD) students in many fields receive full or partial tuition waivers plus a stipend through assistantships, while professional doctorates (MD, JD, PharmD, DDS, DNP) are typically self-funded through a mix of savings, institutional aid, and loans, and can be among the most expensive credentials covered on this site.

Total cost for a Artificial Intelligence doctoral 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 doctoral 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 this level

At the doctoral level, expect either university faculty and senior research roles (for a research doctorate) or, in fields structured around a professional doctorate, the field's actual entry point into licensed practice — with earning potential and role seniority substantially higher than the broader occupational data below reflects for the field as a whole.

These national BLS figures (May 2024 wages; 2024-34 projections) describe the field as a whole, not this degree level specifically — the U.S. Bureau of Labor Statistics does not break out wage data by exact degree level for most occupations, so treat these as a field-wide reference point and adjust your expectations up or down based on where the doctoral degree sits in this field's real career ladder, as described above. See our careers page for how to find more granular, state- and metro-level wage data through BLS's OEWS program.

Licensure & certification

There is no single licensing exam tied to a artificial intelligence degree itself; career outcomes in this field depend more on the specific role, employer, and any voluntary professional certifications relevant to your target position.

A doctoral degree in Artificial Intelligence supports research careers and university faculty positions. It is not required for professional engineering practice, which runs through the bachelor's degree, relevant experience, and PE licensure instead.

Typical admission requirements

A completed bachelor's or master's degree depending on the specific program, a strong academic record, letters of recommendation, and a statement of purpose or research proposal; research-doctoral applicants often benefit from contacting a potential faculty advisor before or during the application process. Professional doctoral programs (medicine, law, dentistry, pharmacy, and similar fields) require their own standardized entrance exams (MCAT, LSAT, DAT, PCAT, for example) and run separate, highly selective admissions processes distinct from general graduate admissions.

These are general norms across institutions, not a guarantee for any specific program — always confirm current requirements directly with the admissions office of any school you're seriously considering, since requirements can change from one enrollment cycle to the next.

Format: online vs. on campus

Many Artificial Intelligence doctoral 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.

Other levels in Artificial Intelligence

Artificial Intelligence is offered at multiple degree levels, each playing a different role in this field (see "Is the doctoral degree the right level for you?" above). Explore the other levels:

Or return to the full Artificial Intelligence programs overview for the complete picture across all five levels, including the field's curriculum, accreditation, and career data in one place.

How to evaluate a specific doctoral degree program

1. Confirm institutional and (for this field) programmatic accreditation directly, using the steps above — and confirm it applies to the doctoral degree specifically.
2. Compare the actual course list against the curriculum guidance above, adjusted for this level's typical depth.
3. Check outcomes data specific to the program at this level — licensure pass rates where applicable, or graduate placement and continuing-education data.
4. Get a personalized net price using the school's net price calculator, not the published cost range above.
5. Confirm the admission requirements above against the specific program's current published requirements.
6. Use our comparison framework to weigh finalists side by side across accreditation, cost, curriculum, outcomes, and support.
7. If you're weighing this level against an adjacent one (for example, an associate vs. a bachelor's in this field), revisit the "Is this the right level for you" section above before comparing specific schools, since the two levels may lead to meaningfully different outcomes in this particular field.

You can also research artificial intelligence doctoral degree programs by state through our state directory, which adds state-specific context like relevant licensing boards, regional public university systems, and state financial aid programs.

Frequently asked questions