Financial Risk Management MSc

About this degree

A distinctive finance programme taught from a computer science perspective, the Financial Risk Management MSc enables you to become an expert in computing, mathematics, and technology to manage and predict financial risk.

You will experience an innovative programme that blends core financial concepts with opportunities to place yourself at the cutting edge of computational techniques and technology, through topics such as machine learning, algorithmic trading and blockchain technologies.

Throughout this programme, you will learn from renowned lecturers who also undertake research or are practitioners in the finance industry. You will gain a core understanding of market risk, credit risk, operational risk, systemic risk, and financial engineering, complemented by topics that range from market microstructure to probability, stochastic processes, and data-driven modelling. As well as this, you will combine knowledge about how the financial system works with computational techniques.

You will undertake a substantial project as the culmination of your programme, bringing opportunities to work with an industry partner on a real-world problem, or to embark on an academic project supervised by one of our leading academics.

This programme gives you key skills to become a professional in financial markets and related technical aspects, while you immerse yourself in London life and the benefits of living in a global financial centre.

Finance is driven by technology. Becoming an expert in both will enable you to thrive in risk management roles in the financial sector. The Financial Risk Management MSc brings together traditional theories in finance, data analytics, quantitative and computational modelling techniques – designed to produce talented practitioners in this field.

A minimum of an upper second-class UK Bachelor's degree (or an international qualification of an equivalent standard) in a relevant discipline with a strong quantitative component evidenced by good performance in mathematics and statistics examinations. Good performance is defined as scores in these subjects not falling below a UK upper second-class or international equivalent level. There is not an exhaustive list of relevant disciplines, but individuals with a background mathematics, statistics, physics, computer science, engineering, economics, or finance are encouraged to apply.

The English language level for this programme is: Level 2

UCL Pre-Master's and Pre-sessional English courses are for international students who are aiming to study for a postgraduate degree at UCL. The courses will develop your academic English and academic skills required to succeed at postgraduate level.

Further information can be found on our English language requirements page.

Graduates from this programme have pursued careers in the accountancy and financial services sectors. Others have gone into banking and investment, IT, technology and telecoms, publishing, journalism and translation, consultancy, logistics and distribution.