COURSE CURRICULUM

The MSc Artificial Intelligence in Finance combines advanced financial theory with cutting-edge computational and AI techniques to prepare students for careers at the forefront of the financial sector. The program provides a strong foundation in machine learning, computational methods, and market microstructure, enabling students to model, analyse, and optimise financial systems. Core modules include machine learning for finance, computational market microstructure for fintech and the digital economy, and other applied courses that develop practical skills in designing AI-driven solutions for trading strategies, risk management, and financial modelling. Students also undertake a substantial dissertation project, allowing them to explore a specialised area of interest, apply research methods, and integrate theoretical and practical knowledge. Optional modules provide the flexibility to tailor learning towards specific career goals or research interests, whether in investment banking, fintech, algorithmic trading, or financial technology development. Throughout the course, emphasis is placed on applying statistical, computational, and AI techniques to real-world financial problems, including derivative analysis, predictive modelling, and automated trading. Graduates of the program will have the expertise to drive innovation in financial institutions, combining data-driven insights with strategic decision-making, and are well-prepared for both professional roles and further academic research in finance, AI, and computational economics.