Mathematical Finance
The Mathematical Finance Master of Science program at the University of North Carolina provides students with advanced quantitative and analytical skills essential for solving complex problems in finance and economics. The curriculum emphasizes mathematical modeling, statistical analysis and financial theory, equipping learners to evaluate market behavior and develop sophisticated investment strategies. Students strengthen quantitative analysis, financial modeling, risk assessment and computational proficiency, preparing them to succeed in dynamic financial environments that demand precision and analytical rigor.
Throughout the program, students engage in rigorous coursework, applied projects and research activities that integrate theoretical frameworks with practical financial applications. Faculty mentorship guides learners in developing problem solving abilities, data interpretation skills and applied quantitative methods. By combining mathematical foundations with computational techniques and financial theory, students enhance analytical reasoning, research competence, decision making skills and strategic insight, ensuring they are well prepared for careers or further study in quantitative finance and related fields.
Key information
Key Facts
- Program Title: Mathematical Finance
- Degree Type: Master of Science
- Duration: 1 year
- Mode of Study: Full-time, On Campus
- Application Deadline: 01 August 2026
- Location: University of North Carolina at Chapel Hill, United States
- Field of Study: Applied Mathematics
- Language of Instruction: English
Program Structure
Semester 1 Foundations in Mathematical Finance
• Linear Algebra and Matrix Theory
• Advanced Calculus and Real Analysis
• Mathematical Modeling Techniques
• Computational Methods and Programming for Mathematics
Semester 2 Applied Financial Analysis and Research
• Financial Economics and Asset Pricing
• Derivatives and Risk Management
• Quantitative Portfolio Management
• Research Project in Mathematical Finance
Career Opportunities
Graduates of this program are prepared for specialized roles that require advanced quantitative skills and strong analytical capabilities. Many pursue careers in investment banking, risk management, asset management and financial consulting, applying quantitative techniques to assess market trends, optimize portfolios and evaluate financial risk. Others work in research institutions, government agencies, hedge funds or multinational financial firms, contributing to data driven decision making and strategic planning. The programs focus on applied quantitative finance, mathematical modeling and analytical problem solving equips graduates to navigate complex financial systems and succeed in both professional and research oriented roles.
Why Choose This Program
This program is ideal for students who want to combine rigorous mathematical training with practical financial applications. Its curriculum emphasizes analytical reasoning, financial modeling and quantitative research, providing learners with the tools to address complex financial problems with precision and insight. Faculty mentorship supports students in developing computational proficiency, portfolio analysis skills and strategic decision making capabilities. Through applied projects and research activities, learners strengthen quantitative expertise, financial analytical skills, research oriented problem solving and strategic thinking, enabling them to contribute effectively to the finance industry and pursue advanced opportunities in investment, risk management or quantitative research. With a strong foundation in both mathematics and finance, graduates are well prepared to excel in highly analytical and data driven financial environments.
Contact Information
Phone: +1 (919) 966-3621
Email: unchelp@admissions.unc.edu
Address: Jackson Hall, 174 Country Club Road, Chapel Hill, NC 27514, USA
