Artificial intelligence has moved from the headlines to the classroom. In late 2025, The New York Times reported that universities across the country are launching AI-branded majors, departments, and even entire colleges to meet surging student demand. At highly selective institutions, this shift is especially pronounced.
For parents of high school students, the questions are natural: Is an AI-focused major right for my child? How does it compare to a traditional computer science degree? Below, we break down the rise of AI majors at top colleges and what families should consider from both an academic and admissions standpoint.
THE RISE OF AI-FOCUSED MAJORS AT ELITE UNIVERSITIES
Not long ago, computer science (CS) was the golden ticket major for tech-minded students. Now, AI-centric programs are emerging as the next big thing. Dozens of universities have unveiled new AI majors, minors, and interdisciplinary programs in just the past two years. Top schools are distinguishing artificial intelligence as its own field of study—separate from general computer science—to give students deeper training in machine learning, data science, and even the ethical and social implications of AI.
Consider a few eye-opening examples from recent months:
- MIT’s new “Artificial Intelligence and Decision-Making” major: Launched in 2022, this program has quickly become MIT’s second-largest undergraduate major (only computer science is bigger). Nearly 330 students are enrolled, learning to develop AI systems and study how technologies like robots interact with humans and the environment. Faculty note it attracts students who prefer working with data and those keen to apply AI in fields like biology and health care.
- University of California, San Diego’s inaugural AI major: UCSD rolled out a brand-new AI major in Fall 2025 as part of its computer science department. About 150 first-year students signed up for the first cohort, and the program is expected to grow to 1,000 undergraduates by 2029. The curriculum balances a robust CS foundation with specialized AI/ML courses, advanced math, and a required ethics course, plus a capstone project on building or analyzing AI systems. UCSD’s goal is to produce graduates who can “apply AI today and shape how the technology evolves,” grounded in both technical expertise and understanding of societal impacts.
It’s not just the usual tech powerhouses either. Other trailblazing universities include:
- University of South Florida debuted an entire College of AI and Cybersecurity in 2025, attracting over 3,000 students in a single semester.
- SUNY Buffalo created a stand-alone Department of AI and Society offering interdisciplinary degrees like “AI and Policy Analysis.”
- Colby College launched the Davis Institute for Artificial Intelligence, one of the first cross-disciplinary AI institutes at a liberal arts college, integrating AI education and research across fields from computer science to the humanities while emphasizing ethical, human-centered applications.
In fact, one industry report noted that by the end of 2025, the U.S. had 193 (and counting) different bachelor’s degree programs in AI. It’s a nationwide boom, but nowhere is it more visible than at highly selective colleges that are eager to lead in AI education.
WHAT’S DRIVING THE SHIFT TO AI MAJORS?
So why are students flocking to AI majors—and why are colleges moving so quickly to launch them?
Industry Demand
Industry demand is unmistakable. The rapid rise of tools like ChatGPT and massive investments from companies like Amazon, Google, Meta, and Microsoft have made AI skills feel essential, not optional. Students and universities alike see where hiring, research funding, and long-term growth are heading.
Interdisciplinary Reach
AI’s interdisciplinary reach is a major draw. Unlike traditional computer science, AI naturally intersects with fields like healthcare, economics, public policy, and the arts. Many new programs blend computing with ethics or domain-specific applications, appealing to students who want to apply technology to real-world problems rather than code in isolation.
Tech Labor Market Shifts
Shifts in the tech labor market are shaping perceptions. Recent layoffs and the rise of AI-powered coding tools have some families questioning the ROI of a generic CS degree. In fall 2025, 62% of computer science programs saw undergraduate enrollment declines. AI majors, by contrast, emphasize machine learning, data modeling, and system design—skills less likely to be automated and more aligned with “AI-first” careers.
College Private Counseling
Unlock your full potential.
HOW COLLEGES ARE RESPONDING
Colleges are responding strategically. Launching AI majors, institutes, and industry partnerships allows schools to signal leadership in a fast-moving field and attract top talent. Much like the data science boom a decade ago, AI has become the new academic frontier—and institutions don’t want to be left behind.
Dartmouth’s Campus-Wide AI Initiative and Ethical Focus
Dartmouth College, often called the birthplace of artificial intelligence, became the first Ivy League school to launch a campus-wide AI integration initiative in 2025. In December, Dartmouth announced a major partnership with Anthropic and Amazon Web Services, bringing advanced AI tools into teaching, research, and learning across every discipline—not just computer science.
This is not a standalone AI major. Instead, Dartmouth is embedding AI literacy, ethics, and responsible use throughout the curriculum. Students and faculty have access to tools like Anthropic’s Claude, while also being trained to pair technical fluency with critical thinking, ethical judgment, and human-centered problem-solving. Dartmouth has been explicit that learning AI also means knowing when not to use it, preserving space for human-only inquiry in the classroom.
For families, Dartmouth’s model highlights an important trend: elite colleges are increasingly focused not just on teaching how to use AI, but how to question it, govern it, and apply it thoughtfully. This integrated approach makes AI relevant to humanities students, engineers, and everyone in between—and signals where higher education is headed, even at schools that may never offer a formal AI major.
NEW AI MAJORS VS. TRADITIONAL COMPUTER SCIENCE
With AI majors popping up across top universities, families are rightly asking: Is an AI degree better than a traditional computer science major? The short answer: it depends on rigor, fit, and goals—not the label.
Start with curriculum. The strongest AI programs are not “CS-lite.” At schools like MIT and UC San Diego, AI majors still require deep foundations in computer science, math, and statistics before advancing into machine learning, data science, and ethics. When an AI curriculum skimps on algorithms, programming, or higher-level math, that’s a red flag. An AI major should build on computer science, not replace it.
This distinction matters even more in today’s labor market. In a recent LinkedIn post, Jeff Selingo observes,
“The big loser among college majors when it comes to the job market: computer science. Remember when everyone was telling students to major in CS? Well, newly-minted college grads with computer science and computer engineering majors have among the highest unemployment rates, according to the Federal Reserve Bank of New York, double that of pharmacy, criminal justice, and biology.”
Think about interdisciplinary fit. AI programs often integrate real-world applications—medicine, policy, climate science, or the humanities—which can be ideal for students with dual interests. For students who want maximum flexibility or are still exploring, a traditional CS major with AI electives (or a minor) can be just as powerful.
Consider long-term outcomes. AI-branded degrees can offer targeted preparation for roles like machine learning engineer or AI researcher, often with built-in capstones and applied projects. That said, a CS degree remains the most versatile option, opening doors across software engineering, systems, cybersecurity, and AI alike. Both paths can lead to top outcomes if students use electives, research, and internships strategically.
Evaluate resources, not buzz. New programs should be backed by experienced faculty, research labs, computing infrastructure, and industry partnerships. Look for evidence that undergraduates are doing real research, building systems, or landing strong internships—not just taking newly named courses.
From an admissions standpoint, preparation matters more than the major. Colleges aren’t expecting AI-specific experience, but they do expect strong math, science, and technical curiosity. Robotics teams, coding projects, research, or self-driven learning matter far more than chasing a trendy major name. And remember: at many top schools, students don’t declare a major, whether it be CS or AI, until sophomore year.
Bottom line: Don’t choose AI because it’s hot. Choose the program—AI or CS—that best matches your academic strengths, intellectual interests, and long-term goals. In the strongest hands, either path can be a launchpad.
LOOKING AHEAD
AI majors have moved quickly from novelty to near-mainstream, giving today’s students more ways than ever to study cutting-edge technology—often with an emphasis on ethics, context, and real-world impact. Whether a student chooses a specialized AI major or a traditional computer science degree with AI coursework, the priority should be fit: alignment with their interests, strengths, and long-term goals.
As examples from MIT, Dartmouth, and UC San Diego show, top colleges are responding to a future shaped by AI in different ways. Families should encourage students to explore both paths, look closely at curriculum and resources, and choose the environment where they will thrive.In the end, the goal isn’t to chase the newest major, but to prepare students with both the technical skills—and the judgment—to use AI well.
Want to stay in the loop? Follow us on Instagram @toptieradmissions and subscribe to our blog for expert advice and admissions insights.
Know someone else navigating the college process? Pass it along — they’ll thank you later!
- Strategic Summer Planning: How to Build a Standout College Profile - March 27, 2026
- The Rise of AI Majors at Top Colleges - January 8, 2026
- IB Program vs AP: What Families Should Know - December 16, 2025
