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MSc Financial Mathematics

  • DeadlineStudy Details:

    MSc 1 year full-time, 2 years part-time

Masters Degree Description

The financial services industry places great emphasis on raising the level of mathematics used in banks in applications to pricing, hedging and risk management. This MSc provides students with the skills necessary in mathematics, statistics and computation for a career in this fast-developing field.

Students will develop a detailed understanding of the application of mathematics, statistics and computation 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.

Who this course is for

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.

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.

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Fees

For fees and funding options, please visit website to find out more

Programme Funding

UCL offers a range of financial awards aimed at assisting both prospective and current students with their studies.

Student Destinations

The financial services industry places great emphasis on raising the level of mathematics used in banks in applications to pricing, hedging and risk management. This MSc programme provides students with the skills necessary in mathematics, statistics and computation for a career in this fast-developing field.

Employability

This programme provides graduates with the skills and knowledge for a wide range of career prospects, particularly in the financial services industry, which requires quantitative finance professionals who are able to analyse data, to programme, and who are experts in mathematics and computational statistics.

Module Details

Compulsory modules

  • Financial Mathematics Dissertation
  • Asset Pricing in Continuous Time (Masters level)
  • Finance and Numerics
  • Market Risk and Portfolio Theory
  • Statistical Methods and Data Analytics for Finance

Optional modules

  • Stochastic Processes
  • Mathematics and Statistics of Algorithmic Trading
  • Interest Rates and Credit Modelling
  • Mathematical Climate Finance
  • Applied Computational Finance
  • Forecasting
  • Quantitative Operational Risk Modelling

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