Msc. in Mathematical Trading and Finance

The MSc Mathematical Trading and Finance trains students with strong quantitative backgrounds to price and trade complex financial instruments and build algorithmic trading strategies. Delivered over 12 months in London, the curriculum covers asset pricing, derivatives, stochastic modelling methods in finance, applied research tools, and quantitative trading, with machine learning techniques woven through the trading and structuring modules. It requires an upper-second-class (2:1) degree or equivalent in a highly quantitative discipline -- mathematics, statistics, economics, computer science, finance, or engineering -- with prior coverage of calculus, linear algebra, and statistics. It is designed for quantitatively strong graduates aiming for roles as quantitative analysts, algorithmic traders, risk managers, or data scientists at investment banks, hedge funds, and fintech firms.