MSc in Mathematical and Computational Finance

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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.

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++ and Python), 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. As one of the largest mathematical finance research groups globally, 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. Our MSc students have won the Natixis Prize for best MSc Thesis in Quantitative Finance in Europe for five consecutive years.

In the 2023 Times Higher Education rankings for best universities in the world, the University of Oxford is ranked #1. In the REF evaluation, which is the UK’s official system for assessing the quality of research in UK higher education institutions, the University of Oxford was ranked #1 in Mathematical Sciences in the entire United Kingdom.