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  • DeadlineStudy Details:

    MSc Full-time 1 year

Masters Degree Description

The depth of maths taught in our financial mathematics master's will give you the skills you need to succeed in the finance sector. It is also the ideal preparation if you want to pursue a research career in stochastic analysis, financial mathematics and other relevant areas.

The Financial Mathematics programme is designed to provide you with the strong mathematical skills, computational techniques and finance background needed to work in the financial sector. It could also open up careers in investment banking, hedge funds, insurance companies and the finance departments of large corporations.

Drawing on the expertise within our Department of Mathematical Sciences, you will undertake core specialised modules in stochastic analysis and measure theory, whilst also choosing optional modules covering wide-ranging topics of interest, including corporate finance, functional analysis and asset management. This makes the programme suitable both for those who are interested in an academic pathway (eg progressing to a PhD), as well as students seeking to enter the quantitative finance sector.

Entry Requirements

A 2:1 honours degree (or equivalent international qualification) in Mathematics, Engineering or Science with a high mathematical content (50% of academic modules must be mathematically related).

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Fees

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

Programme Funding

There are lots of options available to you to fund your master’s programme, from alumni bursaries to school and department scholarships and government loans.

Student Destinations

A master’s in Financial Mathematics may lead to a wide range of employment within industry, the financial sector and research establishments. It also provides an ideal foundation for postgraduate research in stochastic analysis, probability theory, mathematical finance and other relevant areas.

Our graduates have been able to pursue rewarding careers with analyst roles in business, finance, data and risk.

Recent graduate destinations include:

  • Deloitte
  • HSBC
  • JPSS
  • Lloyds Banking Group

Module Details

Semester 1

Compulsory Modules

  • Measure Theory
  • Stochastic Models in Finance

Optional Modules

  • Macroeconomic Analysis
  • Economic Analysis
  • Lie Groups and Lie Algebras
  • Geometric Structures on Manifolds
  • Functional Analysis
  • Programming and Numerical Methods
  • Asymptotic Methods

Semester 2

Compulsory Modules

  • Computational Methods in Finance
  • Stochastic Calculus and Theory of Pricing
  • Mathematical Finance Research Project

Optional Modules

  • Financial Economics 
  • Data Science and Economic Predictions
  • International Money and Finance
  • Spectral Theory
  • Statistics for Large Data
  • Theory of PDEs
  • Static and Dynamic Optimisation

Summer

Compulsory Module

  • Mathematical Finance Research Project

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