COURSE CURRICULUM

The MSc in Financial Technologies and Artificial Intelligence provides students with advanced knowledge and practical skills at the intersection of finance, technology, and data science. Core modules cover asset pricing and investments, risk management using AI, financial technologies, big data, machine learning, and financial econometrics, ensuring students gain a comprehensive understanding of modern financial systems and tools. The program emphasizes the application of data analytics for finance and investments, equipping students with the ability to interpret complex datasets, identify trends, and make informed, data-driven financial decisions. Students also complete a dissertation that allows them to explore a specialised area in depth, applying theoretical knowledge to practical research. Optional modules such as advanced investments, derivatives modelling, stochastic calculus for finance, and architecting secure information systems enable further specialisation and development of technical expertise. Alongside academic learning, the program integrates professional development through the Career Accelerator, helping students build employability skills and prepare for high-value careers. Graduates are well-positioned for roles such as quantitative traders, risk managers, financial data scientists, and analysts in investment banks, hedge funds, and FinTech firms. This degree bridges finance, technology, and AI, preparing students to lead innovation, implement sophisticated financial strategies, and contribute to the evolving landscape of global finance.