Mathematical and Computational Finance
The Master of Science in Mathematical and Computational Finance at the University of Oxford is a cutting-edge program designed to equip students with advanced skills in computational mathematics and their applications in the world of finance. This 10-month, full-time program blends theoretical knowledge with practical techniques used in financial modeling, quantitative analysis, and risk management. Students will learn to apply mathematical theories and computational methods to solve complex problems in the financial sector, preparing them for high-level careers in finance, investment banking, and financial technology.
The program is tailored for individuals who want to develop a deep understanding of the mathematical foundations of financial markets, along with the computational tools to model, analyze, and optimize financial strategies. With access to Oxford’s world-class faculty and research resources, students gain both theoretical insight and hands-on experience, ensuring they are well-prepared to meet the challenges of the ever-evolving field of financial engineering.
Key information
Key Facts
Program Title: Master of Science in Mathematical and Computational Finance
Degree Type: Master of Science (MSc)
Duration: 10 Months
Mode of Study: Full-time, On Campus
Start Date: 19th January 2026
Application Deadline: Refer to university website
Location: University of Oxford, United Kingdom
Field of Study: Computational Mathematics
Language of Instruction: English
Program Structure
The MSc in Mathematical and Computational Finance is structured to provide students with the mathematical tools and computational methods used in the financial industry. Over the course of 10 months, students will engage with core topics such as stochastic calculus, financial derivatives, portfolio optimization, and numerical methods for finance. The program includes both theoretical and practical coursework, with a strong emphasis on computational techniques like Monte Carlo simulations and finite difference methods. Students also complete a research project, allowing them to apply their learning to solve real-world financial problems.
Career Opportunities
Graduates of the MSc in Mathematical and Computational Finance are highly sought after in the financial industry, with career opportunities in investment banking, quantitative analysis, risk management, and financial technology. The program’s focus on computational techniques and mathematical modeling prepares graduates for roles such as quantitative analyst, financial engineer, risk manager, or data scientist. Oxford’s global reputation and extensive alumni network provide graduates with excellent career prospects in top financial institutions, hedge funds, and fintech companies.
Why Choose This Program
The University of Oxford offers a unique opportunity to study Mathematical and Computational Finance in one of the world’s leading academic environments. The program combines cutting-edge research, advanced mathematical techniques, and computational finance tools, providing students with a comprehensive skillset that is highly valued in the finance sector. Oxford’s distinguished faculty, rigorous curriculum, and access to industry partnerships ensure that graduates are well-prepared for the complex challenges of the financial world.
Contact Information
For further information, please contact the admissions office at:
Phone: +44 (0)1865 270000
Email: admissions@ox.ac.uk
Address: University of Oxford, University Parks, Oxford OX1 2JD, United Kingdom
