MSc in Mathematical and Computational Finance

• Handbook 25-26
• Standing Orders
• MT25 Timetable
• Dissertation Guidelines 25-26
• Guidance on use of AI in dissertations
• Past Paper Archive
   
• Disability
• Accessibility
• Whitehead Library
• Electronic Resources
• Graduate Studies Prospectus

The MSc in Mathematical & Computational Finance provides graduates with the foundations in applied mathematics, machine learning, and computer science necessary for a successful career in modern finance. It is one of the most popular MSc programmes at the University of Oxford. In 2025, it was ranked by QuantNet as the #1 Financial Mathematics/Quantitative Finance programme in the UK.

This highly interdisciplinary curriculum is designed to prepare students for finance roles, focusing on the mathematical and computational skills needed to develop and calibrate models for large-scale financial datasets. Topics covered include mathematical modelling (stochastic differential equations, stochastic control), computer science (C++, Python, and PyTorch), statistics, deep learning, numerical methods (such as Monte Carlo simulations, finite difference methods for PDEs, and optimisation), and financial applications (financial derivatives, fixed income, decentralised finance, and market microstructure).

The programme is taught by the Mathematical & Computational Finance faculty at the Mathematical Institute at Oxford, which is the largest mathematical finance research group globally with fourteen faculty members. The Mathematical Institute is one of the leading mathematics departments in the world (currently ranked fourth in the world according to US News & World Report).

The Mathematical & Computational Finance Group has extensive industry ties with leading financial institutions such as banks, hedge funds, central banks, and exchanges. This expertise shapes the programme, ensuring students are well-prepared for careers in quantitative finance, and many of our alumni have had highly successful careers at major investment banks and hedge funds. 

Students have the opportunity to work directly with a professor/faculty member on their dissertation in the third academic term to develop expertise in an area of finance. Students may select from a wide range of research topics.