Computational Finance MSc

As a student on the Computational Finance MSc, you will learn advanced quantitative, modelling and programming skills, which are essential for quant roles in trading, research, regulation, and risk. This applied taught postgraduate programme is distinctive in that it provides a combination of finance, mathematics, statistics, and computer science.

Computational finance is at the intersection of mathematics, statistics, computer science, finance and economics. Elevating your skills in these disciplines is essential if you want to make your mark as a quant in a large bank, hedge fund or financial regulator, or in the world of fintech and innovative start-ups.

You will learn from our world-leading experts in this field. The syllabus is constantly reviewed to stay ahead of the trends; core modules span financial engineering and numerical methods for finance, to data science and machine learning for finance.

Optional modules allow you to dive deeper into specific areas of interest, such as algorithmic trading, market microstructure, blockchain technologies, the management of markets, systemic and operational risk, numerical optimisation, and financial market modelling and analysis. You will conclude your experience with a project that brings an opportunity to work with an industry partner on a real-world problem, or to delve into a research project supervised by one of our leading academics.

This programme gives you key skills that will enable you to pursue a career as a ‘quant’, while you immerse yourself in London life and the benefits of living in a global financial centre.