Michigan State University is launching a new Master of Science in Financial Technology and AI, designed to prepare students and professionals for careers in a rapidly evolving financial services industry that increasingly relies on artificial intelligence and machine learning. The program, established through collaboration between the College of Engineering and the Eli Broad College of Business, represents a strategic response to the growing gap between technical expertise and financial domain knowledge in the fintech sector.

Why Are Universities Creating AI Finance Programs Now?

The financial services industry is undergoing a fundamental transformation driven by artificial intelligence. Banks, investment firms, and fintech companies are deploying AI for everything from risk analysis to fraud detection to algorithmic trading. Yet finding professionals who understand both the technical foundations of AI and the business realities of finance has become increasingly difficult. MSU's new program directly addresses this talent shortage by combining rigorous technical training with financial systems knowledge.

The program brings together expertise from two distinct disciplines. Students learn about financial systems, markets, valuation, and financial analytics while simultaneously developing technical knowledge in AI, machine learning, and data modeling. This dual focus is intentional; it prepares graduates to build financial products that leverage emerging technologies while understanding the business context in which those products operate.

"The program brings together the strengths of the College of Engineering and the Eli Broad College of Business to prepare students and professionals for a rapidly evolving financial services industry," said Andrei Simonov, chair of the Department of Finance. "By combining AI, machine learning and data modeling with finance, valuation and financial analytics, students can build both the technical and business perspectives needed in financial technology."

Andrei Simonov, Chair of the Department of Finance at Michigan State University

What Skills Will Graduates Develop in This Program?

The Master of Science in Financial Technology and AI is STEM-certified, meaning graduates may be eligible for extended work authorization in the United States if they pursue careers here. The program is part of MSU's broader investment in AI-focused education across multiple disciplines.

Beyond the new master's degree, Michigan State is expanding AI education across its engineering programs. Starting in fall 2026, introductory engineering courses will weave AI concepts into their curriculum, helping students understand AI as a tool that supports problem-solving and decision-making rather than a replacement for engineering fundamentals. The university is also offering a new undergraduate minor in artificial intelligence available to students across all majors.

How to Prepare for a Career in AI Finance

• Build Technical Foundations: Develop strong skills in programming, data structures, algorithms, and machine learning before pursuing specialized fintech roles. These fundamentals remain essential even as AI tools become more accessible.
• Understand Financial Systems: Learn how banks, investment markets, and financial institutions actually operate. Knowing the business context helps you build AI solutions that solve real problems rather than creating technically impressive but impractical systems.
• Study Ethical and Regulatory Implications: AI in finance operates under strict regulatory oversight. Understanding compliance requirements, risk management, and ethical considerations is as important as technical skill for fintech professionals.
• Gain Practical Experience: Seek internships or projects that combine AI and finance. Hands-on experience with real datasets and financial problems accelerates learning and makes you more competitive in the job market.

The undergraduate minor in artificial intelligence, developed by the Department of Computer Science and Engineering, emphasizes this interdisciplinary approach. Students explore not just how to use AI tools, but the technical foundations of AI alongside its ethical, societal, and practical implications. The minor is available to undergraduate students across the university in nearly all majors, with the exception of students already enrolled in overlapping computing and data-focused programs.

The flexibility of the minor reflects a broader recognition that AI skills are becoming relevant across virtually every field. A forestry student might use AI to develop a program that recognizes disease in foliage, while a music student could explore algorithmic composition. An electrical engineering student can apply AI to autonomous systems, manufacturing, or biometrics. This cross-disciplinary approach means that professionals in finance, healthcare, manufacturing, and other sectors increasingly need to understand AI fundamentals.

How Is MSU Preparing Working Professionals for AI Roles?

Beyond traditional degree programs, Michigan State is investing in workforce development for professionals already in the field. The university is leading professional development workshops focused on AI for advanced semiconductor manufacturing, funded through a $3 million National Science Foundation grant. These five-day programs combine hands-on experience with semiconductor device fabrication in a cleanroom environment alongside machine learning training. Participants learn to use AI algorithms to analyze fabrication data, clean and structure datasets, and perform AI-based classification. After completing the program, participants retain access to workshop materials and software they can adapt for use in their own workplaces.

This model of combining practical, hands-on experience with emerging technology training reflects how universities are adapting to the rapid pace of AI development. Rather than waiting for AI knowledge to filter into traditional curricula, institutions like Michigan State are creating specialized pathways that help both students and working professionals build relevant skills quickly.

"AI is changing the way we work, innovate, and teach," said John Papapolymerou, dean of the College of Engineering. "By expanding AI education, we're preparing graduates and professionals to lead responsibly and confidently in a rapidly evolving world."

John Papapolymerou, Dean of the College of Engineering at Michigan State University

The expansion of AI education at Michigan State reflects a broader trend in higher education. Universities recognize that AI literacy is no longer optional for professionals in finance, engineering, healthcare, and many other fields. By creating programs that combine technical depth with domain-specific knowledge, institutions are helping bridge the gap between AI capability and practical application in real-world industries. For professionals considering a career shift into fintech or AI-driven finance roles, these educational pathways offer a structured way to build the hybrid skill set that employers increasingly demand.