PDF version of Financial Risk Management MSc

Contact details

Mrs Sally Moore

Email: s.moore@ucl.ac.uk

Tel: +44 (0)20 7679 1373

Fees and funding

UK/EU 2013/14:

£19,000 (FT)

Overseas 2013/14:

£21,000 (FT)

Full details of funding opportunities can be found on the UCL Scholarships website

More information

Prospectus Entry

Computer Science

Key facts

Research Assessment Rating

80% rated 4* (world-leading) or 3* (internationally excellent)
(What is the RAE?)

The programme information on this page relates to 2013 entry. 2014 content to appear here shortly. 

Financial Risk Management MSc

This brand new MSc programme, designed in conjunction with leading risk professionals, aims to meet the growing demand for professionals who are highly skilled in quantitative risk management. Students gain core competencies in risk analysis and have the opportunity to tailor the programme to their own interests and needs through the wide variety of options available.

Degree summary

What will I learn?

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.

Why should I 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.

See subject website for more information:

Degree structure

Availability: Full-time 1 year

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).

Core Modules

  • Stochastic Methods in Finance
  • Decision and Risk
  • 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
  • Compliance Risk and Regulation
  • Programming & Mathematical Methods for Machine Learning
  • Interest Rate and Credit Modelling
  • Applied Computational Finance in C++/Mathematica
  • Statistical Inference
  • Supervised Learning


All students undertake an independent research project which culminates in a written report of 10,000 words.

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.

Further details available on subject website:

Entry and application

Entry requirements

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.

For overseas equivalencies see the relevant country page.

How to apply

You may choose to apply online or download application materials; for details visit www.ucl.ac.uk/gradapps

The deadline for applications is 28 June 2013. 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.

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
Together with essential academic requirements, the personal statement is your opportunity to illustrate whether your reasons for applying to this programme match what the programme will deliver.


The first cohort of students on the Financial Risk Management MSc is due to graduate in 2013, therefore no 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.

Find out more about London graduates' careers by visiting the Careers Group (University of London) website:

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