Michigan Tech Launches Bachelor of Science in Artificial Intelligence Fall 2026

The Michigan Technological University Board of Trustees voted to establish a Bachelor of Science in Artificial Intelligence degree program launching this fall. The 120-credit program moves through the College of Computing and represents one of the more direct institutional commitments to AI education in the public university sector.

According to the university's official announcement, the degree is administered jointly by the Department of Computer Science and the newly established Department of Data Science. This dual-department structure reflects the hybrid nature of modern AI work, which sits somewhere between pure algorithmic theory and applied data engineering.

Dennis Livesay, Dave House Dean of Computing, framed the decision as a response to market urgency rather than academic experimentation. "AI is one of the most — if not the most — disruptive technological advances in a generation," Livesay said in the official university news release. "As such, we definitely felt the urgency to respond quickly, which we've done."

The curriculum requires 57 credits in AI core studies, including machine learning, deep learning, and algorithm design. Six credits are dedicated specifically to the ethical and social impacts of automated systems. This isn't just theory students read about in a lecture hall; it's the kind of coursework that means late nights debugging neural networks while the dorm heating kicks on and the campus library hums with the sound of other students doing the same.

Michigan Tech is not launching the AI degree in isolation. The program coincides with an Applied AI concentration within the BS in Information Technology degree and a new minor in artificial intelligence. The minor provides a flexible option for students in business, engineering, or forestry to gain technical footholds without committing to a full computing major.

Laura Brown, chair of the Department of Data Science, noted that the program was developed through industry benchmarking and projected job market analysis. The university's internal assessment found that demand for AI-specific skills in U.S. job postings has grown more than threefold over the past decade, even as entry-level traditional programming roles have fluctuated.

There's a practical reality to this timing. Students who enroll in fall 2026 will graduate in 2030, when AI literacy will likely be as expected as spreadsheet proficiency is today. The degree proposal was developed by Brown, Zhenlin Wang (chair of Computer Science), and Yu Cai, associate dean of the College of Computing.

Wang emphasized that the program aims to balance technical skills with interdisciplinary thinking. "The BS in AI program will prepare our students with the critical technical skills needed in this rapidly evolving field, while fostering interdisciplinary thinking, ethical responsibility, and the ability to translate AI advances into real-world impact," Wang said.

Unlike traditional computer science degrees that focus on broad computing foundations, the BS in AI focuses specifically on designing, developing, and deploying intelligent systems that can learn, adapt, and act. The distinction matters for students choosing between majors. One path teaches you how computers work; the other teaches you how to make them think.

The degree still requires review by the Michigan Association of State Universities before final approval. This is the final stage of the establishment process, though the university appears confident the program will clear this hurdle. The College of Computing has already seen significant enrollment growth in related programs like cybersecurity and data science.

Livesay expects the AI degree to follow a similar trajectory. "Huskies have never been afraid of new technology; we master it," Livesay added. "We're not training students for the entry-level jobs of today. We're equipping them with the agility and the expertise to lead the evolution of the workplace."

The program reflects a broader institutional shift toward what the university calls "AI instrumentalism" — a strategy designed to prepare students for a job market where AI is not just a tool but a fundamental requirement for professional proficiency. This is less of a new frontier and more of a new baseline (a shift that has left some faculty scrambling to update syllabi faster than they can grade papers).

Student newspaper coverage from The Keweenaw Report corroborates the timeline and scope of the announcement. The university has long held classes and organizations studying AI applications across various industries, but this marks the first dedicated undergraduate degree.

Enrollment for the BS in Artificial Intelligence opens for fall 2026. Students interested in the program can find details through the College of Computing website. The university also maintains an AI Ethics minor housed in the Humanities department of the College of Sciences and Arts, which predates this degree program.

Whether the degree delivers on its promises depends on factors beyond curriculum design. Industry adoption rates, hiring practices, and the pace of AI tool democratization will all shape graduate outcomes. Some observers remain skeptical about whether specialized AI degrees will outlast the current hype cycle.

Michigan Tech's approach is comprehensive, but the real test comes when graduates enter the workforce. Whether employers actually value the credential over portfolio work and practical experience remains the real question.

Artūras Malašauskas is an AI Systems Integrator with 20+ years of production-grade web engineering experience. He has designed, shipped, and scaled enterprise Python/PHP systems for logistics, SaaS, and public-sector clients. For the past year, he has focused exclusively on AI integrations: deploying open-source LLMs, building generative media pipelines (image, audio, video), and engineering multi-agent workflows for real production environments. His standard: reproducibility, security, cost-efficient inference—no vaporware. He documents and evaluates emerging AI tooling, separating verified capabilities from marketing noise. Technical editor at: muza-ai.eu, ai-verslas.lt, ai-naujinos.lt Connect on LinkedIn