COURSE CURRICULUM

The MSc Financial Technology (Computer Science) course provides a comprehensive and practical understanding of the intersection between finance, computing, and data analytics. The program equips students with both theoretical knowledge and hands-on skills to operate effectively in modern financial markets. Core modules cover essential topics such as computational market microstructure for fintech and the digital economy, big data in finance, financial derivatives, and machine learning for finance, giving students the tools to analyse and model complex financial systems. Students also gain practical programming experience through an introduction to Python, enabling them to implement computational solutions in real-world financial contexts. The course culminates in a substantial dissertation, allowing students to conduct in-depth research or develop innovative projects that demonstrate their mastery of computational finance techniques. Optional modules offer the flexibility to tailor the program to individual interests and career goals, supporting specialisation in areas such as advanced analytics, algorithmic trading, or risk management. By combining computational expertise, quantitative finance skills, and practical project experience, graduates are prepared for a wide range of careers in fintech, investment banking, quantitative research, and financial consultancy. The program also builds transferable skills, including problem-solving, data interpretation, and technical communication, which are highly valued in the evolving financial technology sector.