Modes and duration
- Full-time: 1 year
- Part-time: 2 years
Tuition Fees (2015/16)
- £14,830 (FT)
- £24,410 (FT)
- All applicants:
- 30 June 2015
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 (>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 a high 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).
- Stochastic Methods in Finance
- Compliance Risk and Regulation
- Market Risk, Measures and Portfolio Theory
- Financial Data and Statistics
- Option modules are expected to include the following:
- Introductory Programming
- Financial Institutions and Markets
- Quantitative and Computational Finance
- Numerical Analysis for Finance
- Advanced Stochastic Analysis and Models
- Equities, Foreign Exchange and Commodities Modelling
- Programming and Mathematical Methods for Machine Learning
- Interest Rates and Credit Modelling
- Applied Computational Finance in C++/Mathematica
- Statistical Inference
- Supervised Learning
- Complex Networks and Web
- Information Retrieval and Data Mining
- Financial Information Systems
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 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 needs
- UK, EU students
More scholarships are listed on the Scholarships and Funding website
The first cohort of students on the Financial Risk Management MSc is due to graduate in 2013, therefore no specific career destinations are currently available. Recent graduates within the department of Computer Science have gained positions with IT companies such as Google and IBM. Others have entered the financial sector or set up new businesses e.g. Satalia, or pursued doctoral 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?
There is major interest in the Bank of England, the Financial Services Authority and the Financial Services Industry to raise the level of quantitative analytics used in risk management and compliance. UCL, in collaboration with the BoE/FSA, aims set a new benchmark in this area, based on turning out 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 › 80 staff › 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
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