Group of studentsDuration: 1 year full-time or 2 years part-time
Start date: October 2017
LocationSouth Kensington
ECTS: 90 credits

This course is now open to applications for 2017 entry.

This course is designed to prepare students for a wide range of careers in quantitative finance and risk management. 

About the course


Mathematical finance is a subject that is both mathematically challenging and deployed every day by sophisticated practitioners in the financial markets.

This course aims to provide you with everything you need to get into this area at a level where you can understand – and contribute to – industry practice and the latest research. To do this, the modules we offer are orientated in different ways. Some give the necessary finance and economics background; others provide instruction in fundamental mathematics (stochastic analysis, partial differential equations, etc.).

Scientific computing (object-orientated programming in C++) is an integral part of the programme.


Modules shown are for the current academic year, and are subject to change depending on your year of entry.

This course may be taken full- or part-time. It introduces you to the more mathematical areas of asset pricing theory and financial risk management.

You will take eight compulsory lecture modules and two optional modules.

A supervised thesis project lasting four months takes place towards the end of the programme. Our intention is that most projects will be carried out in association with a bank, finance house, hedge fund, consultancy or systems provider in the finance industry, and we endeavour to arrange suitable placements.

The project may be an internship, where you work full-time, or a collaborative arrangement where you work at the College and visit the company on a regular basis for project discussions.

Whichever route you choose, you will be assigned an academic project supervisor who will be a member of staff of the Mathematical Finance section.

Core modules
  • Stochastic Processes
  • Statistical Methods in Finance
  • Mathematical Finance: an introduction to Option Pricing Theory
  • Computing in C++ I: Programming in C
  • Advanced Methods in Derivatives Pricing
  • Quantitative Risk Management
  • Interest Rate Models
  • Computing in C++ II: Object oriented programming
  • Simulation Methods for Finance
Optional modules
  • Fixed Income Markets
  • Lévy Processes: Theory and Applications
  • Dynamic Portfolio Theory
  • Numerical Methods for Finance
  • Convex Analysis and Optimisation
  • Stochastic Differential Equations
  • Algorithmic Trading and Machine Learning

Entry requirements

Minimum academic requirement

Minimum of a high 2:1 Honours degree in mathematics or a good First Class Honours degree in a physical science with a strong mathematical content, i.e. with a majority of mathematics modules and an emphasis on analysis, probability, statistics and differential equations.

In most cases, degrees in Accounting, Economics, Finance, Business or Management will not meet our entry requirements.

International qualifications

The academic requirement above is for applicants who hold or who are working towards a UK qualification.

We also accept a wide variety of international qualifications. For guidance see our Country Index though please note that the standards listed here are the minimum for entry to the College.

If you have any questions about admissions and the standard required for the qualification you hold or are currently studying for then please contact the relevant admissions team.

Additional information

Relevant work experience will be taken into consideration, but is not a substitute for the minimum entry requirement.

There is no GMAT or GRE requirement.

English language requirements

All candidates must demonstrate a minimum level of English language proficiency for admission to the College.

For admission to this course, you must achieve the standard College requirement in the appropriate English language qualification. For details of the minimum grades required to achieve this requirement, please see the English language requirements for postgraduate applicants.

Fees and funding

Home and EU students

2017 entry:
  • £29,500 full-time
  • £14,750* per year part-time

Islands and overseas students

2017 entry:
  • £29,500 full-time
  • £14,750* per year part-time

* Please note that the tuition fee amount you will pay may increase each year.

Government funding

The level of tuition fees you pay is based on your fee status, which we assess based on UK government legislation.

If you are a Home or EU student who meets certain criteria, you can apply for a Postgraduate Master’s Loan of up to £10,000 from the UK government for programmes beginning in October 2016. The loan is not means-tested, and you can choose whether to put it towards your tuition fees or living costs. 

Funding from Imperial


We offer a range of scholarships for postgraduate students to support you through your studies. Try our scholarships search tool to see what you might be eligible for.

For more information on the Postgraduate Master's Loan scheme and other funding opportunities that are available, please visit our Fees and Funding website.

How to apply

All applicants must apply online.

You can usually apply for up to two courses, although your second choice will only be considered if your first-choice application is unsuccessful.

Most courses don't have a formal closing date, but popular courses close when they are full, so you should apply early to avoid disappointment. There may also be funding deadlines that apply to you.

You will need to upload documents with your applications, which may include transcripts and degree certificates.

Offer holders will need to pay a deposit to secure your place. This will be deducted from the balance of your tuition fees.

For full details on the online application process, or to start your application, please visit the How to Apply section of our website.

ATAS Certificate

An ATAS certificate is not required for overseas students applying for this course.

Further information

Find out more about the MSc in Mathematics and Finance, including more detailed course content.