MSc Financial Mathematics
Course Overview
This Master's in Financial Mathematics provides the advanced mathematical and computational training required for a successful career in quantitative finance or academic research. The curriculum balances rigorous theoretical foundations in stochastic analysis with practical applications in finance, preparing you for high-demand roles in investment banking, hedge funds, and corporate finance. A significant research project offers a valuable opportunity to apply your learning under expert supervision and connect with industry challenges.
Key Program Highlights
- Advanced core modules in stochastic analysis and measure theory for a strong theoretical foundation
- Diverse optional modules in areas like corporate finance, functional analysis, and asset management
- Extensive 60-credit research project supervised by academic experts with industry connections
- Dedicated career pathways for both the quantitative finance sector and academic PhD research
- Access to state-of-the-art facilities including a computing laboratory and a £4 million refurbished department
Course Overview
This Master's in Financial Mathematics provides the advanced mathematical and computational training required for a successful career in quantitative finance or academic research. The curriculum balances rigorous theoretical foundations in stochastic analysis with practical applications in finance, preparing you for high-demand roles in investment banking, hedge funds, and corporate finance. A significant research project offers a valuable opportunity to apply your learning under expert supervision and connect with industry challenges.
Key Program Highlights
- Advanced core modules in stochastic analysis and measure theory for a strong theoretical foundation
- Diverse optional modules in areas like corporate finance, functional analysis, and asset management
- Extensive 60-credit research project supervised by academic experts with industry connections
- Dedicated career pathways for both the quantitative finance sector and academic PhD research
- Access to state-of-the-art facilities including a computing laboratory and a £4 million refurbished department
Requirements
Modules
- Measure Theory
- Stochastic Models in Finance
- Macroeconomic Analysis
- Econometric Analysis
- Programming and Numerical Methods
- Introduction to Data Science
- Computational Methods in Finance
- Stochastic Calculus and Theory of Pricing
- Data Science and Economic Predictions
- International Money and Finance
- Statistics for Large Data
- Theory of PDEs
- Static and Dynamic Optimisation
- Mathematical Finance Research Project
