COURSE CURRICULUM

The Financial Mathematics MSc provides a comprehensive and rigorous training in both advanced finance concepts and quantitative methods. The compulsory modules cover essential areas including corporate finance, risk management, discrete and continuous time finance, computational finance, and research methods, along with a substantial dissertation that allows students to apply their knowledge to a focused research project. These modules ensure students develop a strong foundation in financial theory, practical analytical techniques, and independent research skills, preparing them for complex challenges in financial markets. Optional modules offer flexibility to tailor the degree to specific interests, covering topics such as security investment analysis, portfolio risk management, behavioural finance, financial derivatives, international investment, and a variety of advanced statistical and data analysis methods including time series, multivariate analysis, and modelling complex data. This combination of theoretical, practical, and computational training equips graduates with a rare blend of mathematical expertise and financial acumen highly sought after in the finance sector, including investment banking, asset management, quantitative research, and financial consulting. With access to cutting-edge tools, programming skills, and opportunities for applied research, students emerge from the program well-prepared to enter both professional financial careers and further academic research in mathematical finance and related fields.