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Financial Risk Management MSc

This MSc programme, which has been 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.

Key Information

Modes and duration

  • Full-time: 1 year
  • Part-time: 2 years

Tuition Fees (2015/16)

UK/EU:
£14,830 (FT)
Overseas:
£24,410 (FT)

Application deadlines

All applicants:
30 June 2015
Fees note: Part-time fees are available on request from the department.

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.

The English language level for this programme is: Good

Further information can be found on our English language requirements page.

International students

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:

Degree Information

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).

Core Modules

  • Stochastic Methods in Finance
  • Compliance Risk and Regulation
  • Market Risk, Measures and Portfolio Theory
  • Financial Data and Statistics

Options

  • 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

Dissertation/report

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.

Further information on modules and degree structure available on the department web site Financial Risk Management MSc

Funding

We are offering four MSc Excellence Scholarships worth £4,000 to UK/EU offer holders with a record of excellent academic achievement. Please note that the closing date for applying for this is 30 June 2014.

Brown Family Bursary

Value:
£15,000
Duration:
1 year
Eligibility:
Prospective full-time Master's students within the Faculties of the Built Environment, Engineering Science and Mathematical & Physical Sciences.

Brown Family Bursary

Value:
£15,000
Duration:
1 year
Eligibility:
Prospective full-time Master's students within the Faculties of the Built Environment, Engineering Science and Mathematical & Physical Sciences.

Brown Family Bursary

Value:
£15,000
Duration:
1 year
Eligibility:
Prospective full-time Master's students within the Faculties of the Built Environment, Engineering Science and Mathematical & Physical Sciences.

More scholarships are listed on the scholarships website

Careers

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.

Employability

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

Applications

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.

Application deadlines

All applicants
2015-06-30

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
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.

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