Original Research · 2026 Edition

The 2026 AI Graduate Degree Report

Last updated: May 2026

Original data on 2,439 AI, machine learning, data science, and cybersecurity graduate programs across 729 universities in the United States — the most comprehensive picture of AI graduate education available.

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2,439
Programs Indexed
729
Universities
64%
Online or Hybrid
5
Degree Types
50
States Covered

Executive Summary

AI Graduate's 2026 program database covers 2,439 verified graduate and undergraduate programs in artificial intelligence, machine learning, data science, and related fields across 729 accredited US universities. This report presents the most detailed quantitative picture of AI graduate education available — by state, degree level, delivery format, and specialization.

The dominant degree type is the master's degree, which accounts for 1,303 programs (53% of the total). Online and hybrid delivery now represents 64% of all programs — a dramatic shift from pre-2020 norms — reflecting both student demand for flexibility and institutional investment in remote education infrastructure.

California, New York, Texas, Massachusetts, and Pennsylvania host the largest concentrations of AI programs, driven by major research university systems, tech industry proximity, and population density. However, programs are now available in all 50 states, with Midwest and Southern universities rapidly expanding their AI program offerings to meet regional workforce demand.

Programs by Degree Type

Total: 2,439 programs across 5 degree types

Source: AI Graduate program database, 2026

Master's1,303 programs  ·  53%
Bachelor's551 programs  ·  23%
Doctoral's132 programs  ·  5%
Certificate's256 programs  ·  10%
MBA197 programs  ·  8%

Delivery Format: The Online Revolution

64% of AI graduate programs in our database now have an online or hybrid delivery component — a figure that has grown dramatically since 2020. Fully online programs now compete directly with on-campus programs for enrollment, and major employers report no meaningful distinction in hiring outcomes between the two formats for established universities.

Format Distribution

Source: AI Graduate database, 2026

Online
1,095
45%
On-Campus
685
28%
On-Campus, Online
354
15%
On-campus
104
4%
On-Campus, Online, Hybrid
100
4%
Hybrid
65
3%
Online, Hybrid
20
1%
On-Campus, Hybrid
7
0%
Hybrid/Online
3
0%
Part-time
2
0%
Full-time
1
0%
Weekend Cohort
1
0%
Cohort
1
0%
Blended
1
0%

Programs by State — Top 20

California leads all states with more AI programs than any other — reflecting the state's concentration of research universities (UC system, Stanford, Caltech, USC) and the world's largest tech industry cluster. New York and Texas follow, each home to major research universities and growing tech sectors. States like Massachusetts (home to MIT, Harvard, and Boston University) punch above their weight relative to population.

AI Programs by State (Top 20)

Source: AI Graduate program database, 2026

RankStatePrograms% of Total
#1California1486.1%
#2New York1305.3%
#3Pennsylvania1305.3%
#4Texas1295.3%
#5Florida1215.0%
#6Illinois963.9%
#7Massachusetts803.3%
#8North Carolina763.1%
#9Georgia733.0%
#10Indiana692.8%
#11Missouri672.7%
#12Michigan662.7%
#13Arizona652.7%
#14Maryland632.6%
#15Virginia622.5%
#16Ohio612.5%
#17Colorado522.1%
#18Wisconsin512.1%
#19Minnesota492.0%
#20Kentucky471.9%

AI graduate programs are available in all 50 US states. Browse by state →

Top Specializations

Machine learning remains the most common specialization across all degree types, appearing in some form in the majority of AI-focused programs. Deep learning, natural language processing, and computer vision have grown significantly as standalone specializations since 2022 — driven by the generative AI boom and explosion of LLM applications. Data engineering and MLOps specializations are newer but fast-growing, reflecting enterprise demand for AI deployment skills.

Most Common AI Program Specializations (Top 15)

Source: AI Graduate program database, 2026

Machine Learning (740)AI Engineering / Applied AI (394)Cybersecurity Law, Privacy & Policy (390)Cybersecurity (General) (328)Natural Language Processing (NLP) (232)Deep Learning (199)Computer Vision (171)Tech (141)AI Ethics/Policy (130)MLOps/AI Engineering (104)Generative AI and LLMs (86)Artificial Intelligence & Machine Learning (64)Robotics & Autonomous Systems (57)Cybersecurity Management, Risk & Governance (53)Finance (50)

Methodology

AI Graduate's program database is compiled from direct university website research, official program pages, accreditation databases (SACSCOC, HLC, MSCHE, WASC, NECHE), and graduate school catalogs. Programs are included if they: (1) are offered by a regionally accredited US institution; (2) focus primarily on artificial intelligence, machine learning, data science, cybersecurity, or a directly related technical field; and (3) have an active admissions process.

Data is reviewed and updated regularly. Degree type, format, cost, state, and specialization data are sourced from official program pages. Cost data represents total estimated program cost where available, or is estimated from per-credit-hour rates and typical program length. Costs are approximate and may not include fees, housing, or living expenses.

All data in this report reflects the AI Graduate database as of 2026. For corrections or program additions, contact our editorial team.

Cite this report

AI Graduate Editorial Team. (2026). 2026 AI Graduate Degree Report: State of AI Education in the United States. AI Graduate. https://aigraduate.org/ai-degree-report

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