Modes and duration
- Full-time: 1 year
- Part-time: 2 years
Tuition Fees (2015/16)
- £20,140 (FT)
- £22,350 (FT)
- All applicants:
- 30 June 2015
A minimum of an upper second-class Bachelor's degree in a relevant discipline from a UK university or an overseas qualification of an equivalent standard.
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: Standard
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 develop a detailed understanding of the applications of mathematics, statistics and computation as applied to problems in finance, and will gain the necessary practical tools for the pricing, hedging and risk management of a diverse range of financial products in several asset classes.
Students undertake modules to the value of 180 credits.
The programme consists of four core modules (60 credits) four optional modules (60 credits) and a research dissertation (60 credits).
- Quantitative and Computational Finance
- Asset Pricing in Continuous Time
- Numerical Analysis for Finance
- Market Risk, Measures and Portfolio Theory
- The Mathematics and Statistics of Algorithmic Trading
- Applied Computational Finance
- Equities, Foreign Exchange, and Commodities Modelling
- Statistical Inference
- Stochasing Processes
- Financial Data and Statistics
All MSc students undertake an independent research project, which culminates in a research report of approximately 10,000 words and a project presentation.
Teaching and Learning
The programme is delivered through a combination of lectures, practical classes, tutorials and problem-solving exercises. Assessment is through written papers, coursework, examinations and the research report and presentation.
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
- £400(1 year)
- UK, EU, Overseas students
- Based on academic merit
More scholarships are listed on the Scholarships and Funding website
Many students have gone onto careers in financial services in the City or in their home country; a number of graduates have proceeded to a PHD.
The Financial Services industry requires quantitative finance professionals who are able to analyse data, to program, and who are expert at computational statistics, so career prospects for graduates of this new programme are excellent.
Why study this degree at UCL?
UCL Mathematics is an internationally renowned department which carries out excellent individual and group research applying modelling techniques to problems in financial, industrial, biological and environmental areas.
The department hosts a stream of distinguished international visitors. In recent years four staff members have been elected fellows of the Royal Society, and the department publishes the highly regarded research journal Mathematika.
A notable aspect of this applied Masters programme is that students will be educated to a high level in statistics and computing.
Student / staff ratios › 46 staff › 35 taught students › 60 research students
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 suitable for applicants with a first degree in mathematics sciences, engineering, finance or economics who wish to gain the skills necessary for a career or further research in this field. Evidence of ability in key areas of applied mathematics is required.
- 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 Mathematics at graduate level
- why you want to study Financial Mathematics at UCL
- what particularly attracts you to this programme
- how your academic background meets the demands of a challenging programme
- where you would like to go professionally with your degree