AI
TLDR: PITTSBURGH—Colleges across the U.S. are rolling out fast growing AI majors and minors, jumping from five undergraduate programs in 2021 to at least 74 majors and 89 minors now. Northeastern estimates the expansion, while students like University of North Dakota PhD candidate Uzezi Olorunmola call themselves “test subjects” amid uncertain employer demand.
Key Takeaways:
- AI degree options grew from five AI undergraduate majors in 2021 to at least 74 majors and 89 minors, with at least a dozen more planned this year.
- The University of North Dakota president Andrew Armacost warns about glitz versus substance as programs range from computer science mimicry to theory heavy designs.
- Employer needs for AI talent remain unclear, leaving graduates and current students to bet that today’s curriculum will match tomorrow’s hiring.
- Examples include Carnegie Mellon University’s dedicated AI major, now supported by 33 approved courses, and North Dakota State projecting about 60 undergraduate AI students within five years.
Higher education wants to look future ready, but some students feel like the early rollout team. If hiring shifts faster than coursework, the loudest curriculum will not be the most useful one.
Higher education wants to look future ready, but some students feel like the early rollout team. If hiring shifts faster than coursework, the loudest curriculum will not be the most useful one.
Q&A
What happens to AI degree credibility if employers start prioritizing internships over specific coursework?
Schools may need to embed more work based training and partnerships, or risk graduating students with theory but no proof of impact.
Why do AI majors look so different from one campus to another?
Some universities treat AI as an extension of computer science, while others build theory first pathways, creating uneven skill signals for employers.
Could AI degree growth slow down if enrollment fails to match hype?
Yes, programs that launch with low differentiation may face cuts, mergers, or conversion into minors once budgets and demand are tested.
How might admissions and advising change as AI credentials multiply?
Counselors will likely steer students toward programs aligned with their goals, such as research design versus applied tool building, to reduce mismatches.
What does Carnegie Mellon’s long running AI major suggest about which curricula endure?
Longevity may favor programs that regularly update course content and maintain flexible course approval pathways as the field evolves.
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