COURSE CURRICULUM

The MSc Mathematical Finance program offers a comprehensive and rigorous study of the mathematical and financial theories essential for careers in quantitative finance. Students gain in-depth knowledge of derivative securities, exploring the pricing, hedging, and risk management of complex financial instruments, alongside a thorough understanding of asset pricing theory to analyse the behaviour of financial markets. Core modules such as stochastic calculus, Brownian motion, martingale theory, and stochastic modelling in finance equip students with the mathematical tools to model and predict financial processes under uncertainty. Computational finance and stochastic control with applications to finance provide practical skills for implementing mathematical models using modern computational methods, bridging theory and real-world financial applications. The dissertation allows students to undertake an extended research project, consolidating their learning and applying advanced quantitative techniques to solve practical problems in finance. This combination of theoretical and applied study ensures graduates are well-prepared for careers in derivative securities, investment, risk management, and hedge funds, or for further research and doctoral study in mathematical finance. Through a carefully integrated curriculum, students develop critical thinking, problem-solving, and analytical skills, enabling them to translate complex financial concepts into actionable insights for the global finance industry.