COURSE CURRICULUM

The MSc Quantitative Finance provides a comprehensive curriculum that equips students with the advanced mathematical, statistical, and computational skills required to excel in modern financial markets. Core modules such as Interest Rate Derivatives, Derivative Securities, Asset Pricing Theory, Time Series Econometrics, Stochastic Calculus for Finance, and Credit Risk Measurement and Management offer rigorous training in the fundamental concepts and quantitative techniques essential for financial analysis and risk management. These modules enable students to model complex financial instruments, evaluate asset pricing, manage credit and market risk, and apply econometric methods to real-world financial data. In addition to these mandatory courses, students can tailor their learning through optional modules including Current Issues in Empirical Finance, Cross Sectional Econometrics, Corporate Finance, and Portfolio Investment, allowing them to focus on areas of particular interest or relevance to their career goals. The program emphasizes the practical application of quantitative methods through the use of industry-standard software and data analysis tools, fostering skills that are highly valued by employers in investment banking, asset management, risk management, and financial consultancy. By combining theoretical foundations with applied financial techniques, the MSc Quantitative Finance prepares graduates for successful careers in both professional finance roles and research-driven financial analysis, while also providing a strong foundation for further academic study.