Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: MSc 1 year full-time
Finance is driven by technology. Becoming an expert in both will enable you to thrive in risk management roles in the financial sector. Our 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 trains you to become an expert in computing, mathematics, and technology to manage and predict financial risk.
You'll 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.
Learning from renowned lecturers who also undertake research or are practitioners in the finance industry, you'll 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.
You'll also combine knowledge about how the financial system works with computational techniques.
You'll 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.
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.
For fees and funding options, please visit website to find out more.
UCL offers a range of financial awards aimed at assisting both prospective and current students with their studies.
Some graduates from this programme have pursued careers in the accountancy and financial services sectors, while others have gone into 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, PWC, Santander, Standard Chartered Bank, and Royal Bank of Scotland.
Employability
A programme with exceptional relevance in the modern world, graduates of this Master's have expertise in how financial markets work, and 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.
Compulsory modules
Optional modules
Masters study opportunities at UCL Make your Master’s matter. For a real-world advantage, study at a world-class university and your Master’s will ta...
Wed 22 Jan 2025