Modes and duration
- Full-time: 1 year
Programme start date
Tuition Fees (2016/17)
- £17,190 (FT)
- £26,000 (FT)
A minimum of an upper second class UK Bachelor's degree, in a relevant discipline, or an overseas qualification of an equivalent standard, with a strong quantitative component evidenced by good performance (higher than 60%) in relevant mathematics, statistics or computation options.
English Language Requirements
If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency.
The English language level for this programme is: Good
Further information can be found on our English language requirements page.
Country-specific information, including details of when UCL representatives are visiting your part of the world, can be obtained from the International Students website.
International applicants can find out the equivalent qualification for their country by selecting from the list below.
Select your country:
Students will be educated to an advanced level in programming and computing and will gain mathematical, statistical and computational modelling skills. They will have a clear appreciation of different types of risk within the industry, and of the managerial and psychological issues related to risk control.
Students undertake modules to the value of 180 credits.
The programme consists of four core modules (60 credits), four options (60 credits) and the research dissertation (60 credits).
- Compliance Risk and Regulation
- Financial Data and Statistics
- Market Risk, Measures and Portfolio Theory
- Quantitative and Computational Finance
- Applied Computational Finance
- Asset Pricing in Continuous Time
- Equities, Foreign Exchange and Commodities Modelling
- Financial Institutions and Markets
- Networks and Systemic Risk
- Numerical Analysis for Finance
- Operational Risk Measurement for Financial Institutions
- Quantitative Modelling of Operational Risk and Insurance Analytics
- Stochastic Methods in Finance I
Students undertake a summer work placement in an industry environment. The modelling, research and data analysis which takes place over the summer placement forms the basis of the 10,000-word dissertation.
Teaching and Learning
The programme is delivered through a combination of lectures, seminars, tutorials and project work. Modules are assessed by written papers and/or coursework. The research project is assessed by a written report and (optional) oral examination.
Scholarships relevant to this department are displayed (where available) below. For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.
- £15,000 (1 year)
- UK students
- Based on both academic merit and financial need
- £4,000 (1)
- UK, EU students
More scholarships are listed on the Scholarships and Funding website
Many students have gone on to careers in financial services in the City of London or in their home countries; a number of graduates have proceeded to PhD-level study.
Students acquire mathematical, statistical and computational skills which are highly sought after by the financial industry to assess, quantify, model, simulate and edge risk.
Why study this degree at UCL?
The Bank of England (BoE), the Financial Conduct Authority (FCA) and the financial services industry place great emphasis on raising the level of quantitative analytics used in risk management and compliance. UCL, in collaboration with the BoE/FCA, aims to set a new benchmark in this area, based on training students to become risk professionals who are good scientists in the area of risk management.
UCL Computer Science is recognised as a world leader in teaching and research. Our Master's programmes have some of the highest employment rates and starting salaries, with graduates entering a wide variety of industries.
We take an experimental approach to our subject, enjoy the challenge and opportunity of entrepreneurial partnerships and place a high value on our extensive range of industrial collaborations.
Student / staff ratios › 200 staff including 120 postdocs › 650 taught students › 175 research students
Department: Computer Science
Application and next steps
Students are advised to apply as early as possible due to competition for places. Those applying for scholarship funding (particularly overseas applicants) should take note of application deadlines.
Who can apply?
The programme is aimed at students with a first degree in mathematics, finance, economics, physics or computing who wish to gain the skills necessary to work within quantitative risk management. Candidates will be expected to have established competency in probability, statistics, differential equations and the use of a computer to solve numerical problems.
- All applicants
- 1 July 2016
For more information see our Applications page.Apply now
What are we looking for?When we assess your application we would like to learn:
- why you want to study Financial Risk Management at graduate level
- why you want to study Financial Risk Management at UCL
- what particularly attracts you to this programme
- how your academic and professional background meets the demands of this programme
- what programming experience you have
- where you would like to go professionally with your degree