Quantitative Finance and Risk Management
The Master of Science in Quantitative Finance and Risk Management at University of Michigan is a one-year, full-time, on-campus graduate program designed for individuals seeking to master the mathematical, statistical, and computational tools used in today’s complex financial markets. This program prepares students to understand and model financial risk, price financial instruments, and develop investment strategies using data-driven approaches grounded in quantitative analysis, financial theory, and risk assessment. Built for those with strong analytical backgrounds, it offers a rigorous yet practical education focused on bridging financial decision-making with mathematical precision.
The curriculum integrates core concepts from finance, applied mathematics, statistics, and computer science, with special emphasis on risk modeling, asset pricing, and market dynamics. Students learn to work with large financial datasets, apply stochastic modeling techniques, and build predictive tools for evaluating market volatility, credit risk, and portfolio performance. Hands-on coursework and real-world case studies deepen their understanding of financial systems, while high-level electives and a capstone project allow students to tailor their learning to their specific career interests. With direct access to faculty with industry and research expertise, and a collaborative academic environment, graduates gain a comprehensive foundation for navigating high-stakes financial decision-making with clarity and control.
Key information
Key Facts
- Program Title: Quantitative Finance and Risk Management
- Degree Type: S. Master
- Duration: 1 year
- Mode of Study: Full-time, On Campus
- Application Deadline: 01 February 2026
- Location: University of Michigan, United States
- Field of Study: Finance
- Language of Instruction: English
Program Structure
Semester 1 – Foundations of Quantitative Finance
- Mathematical Methods in Finance
- Financial Markets and Instruments
- Statistical Modeling for Finance
- Computational Methods and Programming
Semester 2 – Advanced Risk and Investment Strategies
- Derivatives Pricing and Hedging
- Risk Management and Regulation
- Quantitative Portfolio Theory
- Capstone Project in Financial Modeling
Career Opportunities
Graduates of this program are equipped for challenging roles in the fast-paced world of quantitative finance, where technical accuracy and real-time risk evaluation are paramount. They frequently work in investment banks, hedge funds, asset management firms, and risk management departments of major financial institutions. Others pursue roles in financial consulting, credit risk analysis, or regulatory agencies focusing on financial stability and oversight. With a curriculum that blends financial theory with practical computational tools, graduates are also highly sought after for positions in quantitative trading, derivatives pricing, and portfolio optimization. The program’s strong analytical training and hands-on experience enable students to manage uncertainty, interpret market signals, and design robust financial strategies in a rapidly evolving global economy.
Why Choose This Program
University of Michigan’s Quantitative Finance and Risk Management program offers a rigorous and forward-thinking education at the intersection of finance, mathematics, and computation. The curriculum is tailored to reflect the tools and techniques used by leading financial firms and emphasizes the importance of analytical precision, model validation, and strategic thinking. Students benefit from expert instruction, access to financial modeling software, and a learning environment that encourages both theoretical exploration and real-world application. Whether you are preparing for a career in trading, asset management, or risk control, this program equips you with the quantitative skillset and strategic mindset to thrive in finance sectors that demand agility, innovation, and accountability.
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
