Financial Computing MSc

This MSc aims to provide a solid training in technology and quantitative finance – through collaboration with partner banks, Crédit Suisse and RBS – for students with a numerate degree. This constitutes the ideal background for quantitative developer/technology positions in the core revenue-generating functions at hedge funds, investment banks and financial software companies.

Mode of study

  • Full-time 1 year

Tuition fees

  • UK/EU Full-time: £10,450
  • Overseas Full-time: £21,700

Application date

  • All applicants: 30 May 2014

More details in Application section.

What will I learn?

Students develop the technological aspects of their career in financial services and gain a complete and up-to-date knowledge of the international financial services industry. The programme provides the grounding in computer science, quantitative finance and financial systems required to pursue a quantitative technology career in the financial services.

Why should I study this degree at UCL?

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.

A unique feature of this MSc is that students may, if suitable, undertake their project at a financial services organisation in the UK or abroad. This project placement is the first step towards a new career in Financial Services.

Students undertake modules to the value of 180 credits. The programme consists of six core modules (90 credits), two optional modules (30 credits) and a research project (60 credits).

Core Modules

  • Introductory Programming
  • Apps Design
  • Systems Infrastructure
  • Financial Business Analysis and Project Management
  • Financial Information Systems
  • Architecture and Hardware


  • Algorithmics
  • Database Systems
  • Software Engineering
  • Interaction Design
  • Artificial Intelligence and Neural Computing
  • Compliance, Risk and Regulation


All MSc students undertake a programming project which may, if suitable, be carried out during a placement at the premises of their host organisation, and culminates in a group individual project report.

Teaching and Learning

The programme is delivered through a combination of lectures, seminars, tutorials and project work. The programme comprises two terms of taught material, followed by exams and then a project which may, if suitable, be undertaken with a financial service organisation such as an investment bank. Assessment is through unseen written examinations, coursework and the dissertation.

Further details available on subject website:


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.

Scholarships available for this department

Brown Family Bursary

This award is based on financial need.

Childcare Support Grant

Selection based solely on financial need.

Graduate Support Bursary

For a prospective UK Master's student from under-represented background enrolling on a participating programme. Selection based solely on financial need.

Further information about funding and scholarships can be found on the Scholarships and funding website.

Entry requirements

A minimum of an upper second-class UK Bachelor's degree, in a numerate subject such as mathematics, physics, engineering and chemistry, or an overseas qualification of an equivalent standard. Applicants must also be able to demonstrate basic programming skills and show some experience of Mathematics.

International equivalencies

Select your country for equivalent alternative requirements

English language proficiency level: Good

How to apply

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.

The deadline for applications is 30 May 2014.

Who can apply?

The programme is designed for graduates in numerate subjects such as mathematics, physics, engineering and chemistry. It is suitable for recent graduates and for professionals who have taken a career break, want to change their career direction, or gain an extra qualification to aid career progression.

What are we looking for?

When we assess your application we would like to learn:

  • why you want to study Financial Computing at graduate level
  • why you want to study Financial Computing 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.


On successful completion of this MSc our graduates are a very attractive prospect for employment in IT, IT management or financial services technology.

Top career destinations for this programme

  • UBS, Application Developer, 2011
  • Goldman Sachs, Technology Analyst, 2011
  • Bank of America, Graduate Programme, 2011
  • Barclays Capital, Technical Analyst, 2010
  • RBS, Developer, 2009


This degree opens up many different career routes. Recent graduates have been employed by some of the world's leading investment banks such as Credit Suisse, Deutsche Bank and Morgan Stanley. The entrepreneurial spirit is ignited in other students and they start their own companies or join the excitement of dynamic start-ups. Other graduates have gone onto PhD study to conduct cutting-edge research in areas that interest them.

Next steps


Mrs Sally Longley

T: +44 (0)20 7679 3674


Computer Science

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Prospectus subject

Computer Science

Faculty overview

Engineering Sciences


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