On Campus
with one hybrid module
Bridge the Gap Between Technology and Financial Strategy
Financial technology is fundamentally reshaping organizational product development, driving entrepreneurship, mitigating regulatory risks, and fostering economic inclusion. Crucial market mechanisms are being transformed by these advancements, including:
- Enhanced Management and Payment Systems: Advanced risk management infrastructure.
- Modern Intermediation: Evolving digital financial trends.
- Advanced Data Analytics: Deep data-driven operational insights.
- Streamlined Price Discovery: Optimized market evaluation metrics.
To successfully guide modern financial services enterprises, leaders across startups, traditional institutions, and tech corporations must cultivate deep fluency in advanced methodologies, including artificial intelligence, machine learning, and blockchain.
45
credits
12-18
Months
May Start
begin the program in the summer semester
Non-Thesis
program coursework prepares you for roles in industry
Why Choose MSU Broad's MSFTAI Program?
Built on the Spartan legacy in business and engineering education, our program leverages a university-wide push for AI adoption to deliver a forward-looking finance degree for all career stages.
- Interdisciplinary Curriculum:
Merges foundational finance knowledge with specialized technical skills required to lead tech-first financial services businesses. - Joint Faculty Expertise:
Delves into tools for building products, improving user experience, and delivering precise forecasts through cooperation between business and computer science faculty. - Experiential Learning:
Uses hands-on case studies and collaborative projects to replicate day-to-day FinTech operations. - Research-Driven Insights:
Connects you directly with leading researchers generating practical data, AI, and blockchain solutions for the industry. - Vibrant Ecosystem:
Offers deep integration with corporate partners and Michigan’s rapidly growing startup ecosystem.
Career Outcomes & Market Demand
Graduates of the MS in Fintech and AI program possess a unique competitive advantage: the ability to speak the languages of both high-level finance and cutting-edge technology. This rare dual fluency opens pathways across traditional banking institutions, tech giants, and agile fintech startups.
Evolving Roles & Starting Salaries
While compensation varies by location, industry sector, and specialized technical expertise, entry-level salaries for graduates typically range from $65,000 to $95,000+.
- Technical & AI Execution ($70,000 – $100,000+)
- Junior Fintech Engineers building and scaling core digital platform infrastructure.
- Data Scientists & ML Engineers designing algorithmic models for predictive forecasting and automated fraud detection.
- Analytical & Risk Strategy ($65,000 – $110,000+)
- Quantitative Analysts (Quants) structuring automated trading and asset allocation workflows.
- Risk & Compliance Analysts mitigating tech-driven vulnerabilities and handling regulatory frameworks.
- Business & Digital Transformation ($60,000 – $85,000+)
- Fintech Financial Analysts evaluating business growth and market disruption vectors.
- Product Analysts bridging the operational gap between engineering teams and financial strategists.
Long-Term Career Trajectory
For experienced professionals leveraging this master’s degree to accelerate their career or pivot into leadership, long-term ROI is exceptionally strong:
- Fintech Product Managers: $110,000 – $190,000
- Senior Blockchain & AI Architects: $110,000 – $200,000+
- Fintech Directors & Executives: $170,000 – $250,000+ (excluding equity and performance bonuses)
Dive Deeper
When you apply for the financial technology & artificial intelligence graduate program at MSU, we’ll review your academic and professional background and consider your potential for a successful career in the financial technology field. While experience with computer programming and languages such as Python, Java, HTML, C and C++, as well as statistical software tools is not required, it is highly recommended.
Learn MoreAs you complete the financial technology & artificial intelligence graduate degree program at MSU, you’ll take courses in finance strategy, programming, machine learning, artificial intelligence, and data analytics.
Learn MoreFor the M.S. in financial technology & artificial intelligence graduate degree program, tuition is $67,500; $1,500/credit hour for in-state students and $1,881/ credit hour for out-of-state and international students. We can connect you with a variety of resources to help you finance your degree.
Learn MorePlease email msfinance@broad.msu.edu with any questions regarding advising in the Master’s in Financial Technology & Artificial Intelligence program at Michigan State University.
Let’s get started.
For additional details about the Master of Science in Financial Technology and Artificial Intelligence program at MSU, please complete our brief request form. We look forward to connecting with you.
Contact Information
- M.S. in Financial Technology & Artificial Intelligence
- Department of Finance
- Eppley Center
- 645 N Shaw Ln
- East Lansing, MI 48824