Mathematics - Quantitative Finance and Risk Management
The Mathematics - Quantitative Finance and Risk Management Master of Science program at University of Michigan provides an advanced curriculum for students seeking expertise in applying mathematical methods to finance, risk analysis, and quantitative modeling. The program integrates probability theory, stochastic processes, financial mathematics, and computational methods, enabling students to develop strong analytical, modeling, and problem solving skills. Learners engage in rigorous coursework, applied projects, and research experiences that build the ability to evaluate financial risks, optimize investment strategies, and implement quantitative solutions. The program emphasizes quantitative modeling, applied financial analysis, and decision-making under uncertainty, preparing graduates for specialized roles in finance and risk management.
As a two year full time program, it offers a structured schedule that blends theoretical foundations with applied financial projects and computational exercises. Students strengthen their expertise in risk assessment, derivatives modeling, and financial optimization, applying mathematical tools to real-world financial challenges. Through collaborative projects, simulations, and research studies, graduates are equipped to analyze complex financial systems, manage risks effectively, and contribute to decision making in investment firms, banks, and other financial institutions.
Key information
Key Facts
- Program Title: Mathematics - Quantitative Finance and Risk Management
- Degree Type: Master of Science
- Duration: 2 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 01 February 2026
- Location: University of Michigan, United States
- Field of Study: Mathematics
- Language of Instruction: English
Program Structure
Semester 1 - Foundations in Quantitative Finance and Risk Management
• Probability Theory and Stochastic Processes
• Financial Mathematics
• Linear Algebra and Applied Analysis
• Computational Techniques for Finance
Semester 2 - Applied Financial Modeling
• Risk Management and Derivatives
• Time Series Analysis and Forecasting
• Optimization Methods in Finance
• Applied Quantitative Project I
Semester 3 - Advanced Financial Techniques
• Portfolio Management and Asset Allocation
• Credit Risk and Market Risk Modeling
• Financial Econometrics
• Applied Quantitative Project II
Semester 4 - Capstone and Research
• Advanced Computational Finance
• Independent Research / Thesis
• Financial Data Analysis
• Presentation and Professional Portfolio Development
Career Opportunities
Graduates of this program pursue careers in industries where quantitative analysis and risk management are critical. Many work in investment banks, hedge funds, asset management firms, financial technology companies, or research institutions, applying their expertise to model financial systems, manage risk, and optimize portfolios. Others engage in quantitative analysis, financial consulting, or continue advanced academic research. The program’s emphasis on applied mathematics, financial modeling, and data-driven decision making ensures graduates are prepared to contribute effectively to finance, risk management, and investment strategies.
Why Choose This Program
Students choose this program for its combination of advanced mathematical methods, applied finance, and risk management skills, which equips them to analyze complex financial systems and optimize strategies. The curriculum emphasizes quantitative modeling, financial decision making, and applied research, preparing learners to implement effective solutions in investment and risk management contexts. Students benefit from faculty expertise, applied projects, and computational simulations that enhance both technical competence and professional readiness. By focusing on quantitative finance and risk management, the program ensures graduates are prepared to lead projects, manage risks, and advance careers in the competitive financial industry.
Contact Information
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
