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Finance is driven by technology. Becoming an expert in both will enable you to thrive in risk management roles in the financial sector.
About this programme
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 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.
Compulsory modules
- Data-driven Modelling of Financial Markets
- Probability Theory and Stochastic Processes
- Financial Engineering
- MSc Financial Risk Management Project
- Market Risk and Portfolio Theory
Optional modules may include:
- Applied Computational Finance
- Numerical Methods for Finance
- Market Microstructure
- Machine Learning with Applications in Finance
- Algorithmic Trading
- Financial Market Modelling and Analysis
- Financial Institutions and Markets
- Blockchain Technologies
- Quantitative Modelling of Operational Risk and Insurance Analytics
- Operational Risk Measurement for Financial Institutions
- Networks and Systemic Risk
Please note that the list of modules given here is indicative. This information is published a long time in advance of enrolment, and module content and availability are subject to change.
Who is the programme for?
Entry requirements
This programme is for you if:
- you have a minimum of an upper second-class UK Bachelor's degree (or an international qualification of an equivalent standard) in a relevant discipline (e.g. mathematics, statistics, physics, computer science, engineering, economics, or finance) with a strong quantitative component evidenced by good performance in mathematics and statistics examinations.
- you are looking to pursue a successful career working within quantitative risk management.
Employability
A programme with exceptional relevance in the modern day, you will graduate from the Financial Risk Management MSc with expertise in how financial markets work, and with the mathematical and computational skills required for quantitative roles in the financial industry. This includes handling data, extracting information from data, and developing data-driven models – including the know-how to validate and deploy them in international markets.
Career destinations
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.
Employers include Credit Suisse, Deutsche Bank, Bloomberg, China Development Bank, Deloitte, Ernst & Young, Google, JP Morgan Chase, Moody’s Analytics, People’s Bank of China, PriceWaterhouseCoopers, Santander, Standard Chartered Bank and Royal Bank of Scotland.
Register below to receive further information about this programme.