Postgraduate Study

This course will equip you with the core concepts and mathematical principles of modern quantitative finance, along with the operational packages (mainly Matlab) for financial modelling. As well as traditional topics in derivatives and asset pricing, we emphasise risk management in non-Gaussian environments with extreme events.

You'll need a first degree in a quantitative subject such as computer science, mathematics, statistics, physics, economics or finance. However, no finance or computing background is assumed.

Our MSc Artificial Intelligence in Finance offers a dynamic blend of financial theory and cutting-edge AI technologies. Students will study topics such as algorithmic trading, risk management, and financial modelling, all enhanced by AI techniques like machine learning and natural language processing.

This program equips graduates with the skills to revolutionise traditional finance practices, driving innovation in areas like automated trading strategies and fraud detection. With a strong foundation in both finance and AI, graduates are poised to excel in roles at investment firms, banks, fintech startups, and beyond, shaping the future of finance through data-driven insights and intelligent decision-making.

Financial Technology (also known as FinTech) is increasingly important in financial and economic organisations. The impact of technology such as robo-advisors for personal investments, mobile banking apps, and cryptocurrency, cannot be underestimated.

As a result there is a growing need for financial institutions to recruit staff with expertise in FinTech. Our Masters course will give you the skills to apply advanced computing methods to the world of finance, covering areas including blockchain, artificial intelligence, and data analytics. Alongside the computer science side, you will explore economics and business aspects of Fintech.