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PDF version of Financial Mathematics MSc

Contact details

Dr Carlo Marinelli; 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

Mathematics

Key facts

Research Assessment Rating

Mathematics: 50% Applied, 60% Pure 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 Mathematics MSc

There is major interest in the financial services industry to raise the level of mathematics used in banks in applications to pricing, hedging and risk management. This brand new MSc provides students with the skills necessary in mathematics, statistics and computation for a career in this fast developing field.

Degree summary

What will I learn?

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.

Why should I 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.

See subject website for more information:

Degree structure

Availability: Full-time 1 year; Part-time 2 years

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).

Core Modules

  • Quantitative and Computational Finance
  • Stochastic Methods in Finance
  • Financial Data and Statistics
  • Interest Rate and Credit Modelling

Options

  • Numerical Analysis for Finance
  • Market Risk, Measures and Portfolio Theory
  • The Mathematics and Statistics of Algorithmic Trading
  • Applied Computational Finance in C++/Mathematica
  • Advanced Stochastic Analysis and Models
  • Equity, FX and Commodities Modelling
  • Statistical Inference

Dissertation/report

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.

Further details available on subject website:

Entry and application

Entry requirements

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.

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 for this programme is 30 June 2013; however, 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.

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
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.

Career

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.

The first cohort of students on the Financial Mathematics MSc are due to graduate in 2013, therefore no information about career destinations is currently available.

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


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