

The Bachelor of Science in Mathematics of Finance and Risk Management at the University of Michigan provides a comprehensive program for students seeking expertise in financial modeling, risk analysis, and quantitative decision making. The curriculum emphasizes probability, statistics, financial mathematics, and computational methods, preparing students to analyze complex financial data and evaluate risk in dynamic markets. Students engage in applied projects, quantitative research, and simulation exercises, developing skills necessary to model financial systems, assess risk, and provide evidence based solutions. This program cultivates both analytical proficiency and financial expertise, equipping graduates to succeed in investment, banking, and corporate finance environments.
Learners participate in an interdisciplinary environment where mathematics, finance, and economics intersect. The curriculum offers opportunities for applied risk modeling, portfolio analysis, and computational finance, allowing students to explore real world financial challenges, develop predictive models, and optimize decision making. Through mentorship, research exercises, and collaborative projects, students refine analytical, technical, and communication skills. With a focus on applied learning and quantitative reasoning, the program prepares graduates to pursue careers in finance, insurance, consulting, and investment, as well as advanced graduate studies in financial mathematics and risk management.
Year 1 - Foundations in Financial Mathematics
• Calculus I and II
• Introduction to Financial Mathematics
• Probability and Statistics
• Principles of Economics
Year 2 - Core Quantitative and Financial Methods
• Linear Algebra and Applied Mathematics
• Financial Modeling and Analysis
• Risk Management Fundamentals
• Data Analysis and Statistical Computing
Year 3 - Advanced Applications and Modeling
• Derivatives and Portfolio Theory
• Stochastic Processes in Finance
• Computational Finance
• Elective Modules in Finance or Mathematics
Year 4 - Capstone and Professional Integration
• Senior Research Project / Thesis
• Advanced Risk Modeling
• Financial Decision Analysis Seminar
• Applied Portfolio and Risk Management
Graduates of this program acquire advanced quantitative, analytical, and financial skills that prepare them for careers in investment banking, risk management, financial analytics, insurance companies, and consulting firms. They develop expertise in modeling financial systems, evaluating risk, and applying evidence based strategies to complex financial problems. The program also prepares graduates for roles in quantitative research, asset management, and financial technology, equipping them to provide data driven solutions in high pressure environments. Graduates leave ready to analyze market trends, implement risk mitigation strategies, and contribute effectively to the financial industry with strong technical proficiency and analytical insight.
This program is ideal for students seeking a curriculum that integrates mathematical theory with financial applications, quantitative modeling, and applied risk management, offering mentorship, hands on projects, and professional development. Learners benefit from faculty expertise, applied coursework, and rigorous analytical training that strengthen problem solving, decision making, and communication skills. The curriculum emphasizes evidence based methods, applied finance, and professional readiness, preparing graduates to analyze market data, design financial models, and manage complex risk portfolios. With its focus on quantitative excellence and applied proficiency, the program provides a dynamic academic environment for students aspiring to careers in finance, banking, insurance, and investment analysis.
For further information, please contact the admissions office at:
Phone: 734-764-8129
Email: rackadmis@umich.edu
Address: Graduate Admissions Office, University of Michigan, Ann Arbor, MI 48109, USA