Mathematical Finance
The Master of Science (MSc) in Mathematical Finance at the University of Manchester is a one-year, full-time program that combines the study of finance with advanced mathematical and statistical techniques. The program covers a range of topics including financial modeling, risk management, derivatives, stochastic processes, and econometrics. Students will learn how to apply mathematical methods to solve complex problems in finance and how to make data-driven decisions in financial markets.
Students will also gain proficiency in computational finance, using programming languages such as Python and R to analyze financial data and develop models. Graduates will be well-equipped for careers in investment banking, quantitative analysis, financial consulting, or risk management, where they can apply their advanced mathematical and analytical skills to make informed financial decisions.
Key information
Key Facts
Program Title: Master of Science (MSc) in Mathematical Finance
Degree Type: Master of Science (MSc)
Duration: 1 Year
Mode of Study: Full-time, On Campus
Application Deadline: 23rd May 2026
Location: University of Manchester, United Kingdom
Field of Study: Applied Mathematics
Language of Instruction: English
Program Structure
Semester 1 – Foundations of Mathematical Finance
- Introduction to Financial Mathematics
- Probability and Statistics for Finance
- Mathematical Methods in Finance
- Financial Derivatives and Markets
Semester 2 – Advanced Topics in Mathematical Finance
- Stochastic Processes in Finance
- Risk Management and Financial Engineering
- Asset Pricing Models and Quantitative Trading
- Research Project in Mathematical Finance
Career Opportunities
Graduates of this program are well-prepared for careers in quantitative finance, financial modeling, and risk management. Career opportunities include roles as quantitative analysts (quants), financial engineers, risk managers, and investment analysts. Graduates can work in investment banks, hedge funds, asset management firms, and financial consultancies, focusing on financial data analysis, derivatives pricing, and developing mathematical models for risk assessment and portfolio optimization. The program also opens opportunities in fintech, actuarial science, and financial research.
Why Choose This Program
This program offers an in-depth understanding of the mathematical foundations of financial modeling and quantitative analysis, preparing students to tackle complex financial problems using advanced mathematical techniques. The University’s strong focus on both theoretical knowledge and practical application equips students with the skills to work in fast-paced financial environments. With access to industry-standard software and expert faculty, students are well-equipped to make significant contributions to the field of finance. This program is ideal for those seeking to specialize in mathematical finance and pursue careers in financial engineering, quantitative analysis, or risk management.
Contact Information
For further information, please contact the admissions office at:
Phone: +44 (0)161 275 5252
Email: admissions@manchester.ac.uk
Address: University of Manchester, Oxford Road, Manchester M13 9PL, United Kingdom
