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Graduate (Taught)
Application code:G1U3
Department of Mathematics

MSc Financial Mathematics

Equip yourself with the skills for a high-level career in finance, banking or many other industries.

Overview

Introduction

This programme applies advanced mathematics to real-world financial applications. You’ll study the mathematical theories that drive our financial markets and learn the quantitative methodologies and the computational tools that are essential in investment banking and other financial careers.

The curriculum covers a broad variety of topics in financial mathematics, including credit risk theory, stochastic processes and computational methods in finance. You can also choose from options in areas such as derivatives modelling, financial risk analysis, time series analysis, portfolio management and international finance.

You’ll develop industry-focused skills, including logical reasoning, quantitative analysis and technical presentation. Our graduates land high-earning roles in financial services, technology, accounting and data management.

This degree programme is run by the Department of Mathematics but taught in collaboration with the Departments of Finance and Statistics – giving you the benefit of multidisciplinary expertise and insights.

Entry requirements

Upper second class honours (2:1) degree or equivalent in a mathematically-based subject, or a scientific, engineering or social science subject with an excellent mathematics background.

Please select your country from the dropdown list below to find out the entry requirements that apply to you.

Overseas

English language requirements

The English language requirement for this programme is Standard. Read more about our English language requirements.

Competition for places at LSE is strong. So, even if you meet the minimum entry requirements, this does not guarantee you an offer of a place.

However, please don’t feel deterred from applying – we want to hear from all suitably qualified students. Think carefully about how you can put together the strongest possible application to help you stand out from other students.

Programme content

In addition to compulsory courses The Mathematics of the Black and Scholes Theory, The Foundations of Interests Rate and Credit Risk Theory, Stochastic Processes, Fixed Income Markets, and Computational Methods in Finance, you'll choose optional courses to the value of one and a half units. Choices include, Quantitative Methods for Finance and Risk Analysis, Machine Learning in Financial Mathematics, Derivatives Modelling, Markov Processes, Financial Risk Analysis, Portfolio Management, International Finance, and Forecasting of Financial Time Series.

Year 1

You'll begin by taking the compulsory pre-sessional course, which introduces some key concepts and techniques of relevant mathematical theory, such as probability.

You'll then take five compulsory courses and will choose optional courses from a range of options, including quantifying risk and modelling alternative markets, derivatives modelling, Markov processes, financial risk analysis, international finance, and forecasting of financial time series.

Why study with us

Discover more about our students and department.

Read alumni stories in our website.

Meet the department

The Department of Mathematics aims to be a leading centre for the study of mathematics in the social sciences.

The department has a vibrant intellectual community, with fantastic students, internationally respected academics and high-achieving alumni. Our department has grown rapidly in recent years, with exciting developments in research and new teaching programmes and courses.

This research encompasses four main overlapping areas:

  • discrete mathematics and algorithms
  • mathematical game theory
  • financial and related mathematics
  • operational research.

All aspects of our research were ranked world-leading or internationally excellent in the most recent Research Excellence Framework (2021), submitted jointly with the Department of Statistics.

We embrace the School’s ethos of research-led teaching. Currently, we offer four undergraduate and three postgraduate programmes, as well as doctoral research opportunities on our MPhil/PhD in Mathematics. These programmes are all in high demand – attracting talented students from diverse backgrounds.

Our programmes are highly interdisciplinary and we have close ties with other departments at LSE, including Statistics, Economics, Finance, Management and the Data Science Institute.

Whatever your study route, you’ll benefit from a welcoming, inclusive and friendly learning environment where students and staff are supported to achieve their best.

Learn more about our programmes, recent research and regular events and seminars.

Your application

Overview

We welcome applications from all suitably qualified prospective students. At LSE, we want to recruit students with the best academic merit, potential and motivation, irrespective of background.

We carefully consider each application and take into account all the information included on your application form, such as your:

  • academic achievement (including predicted and achieved grades)
  • statement of academic purpose
  • two academic references
  • CV.

See further information on supporting documents.

You may need to provide evidence of your English language proficiency. See our English language requirements.

463
Applications
23
Intake
20:1
2023 Ratio

Fees and funding

The table of fees shows the latest tuition fees for all programmes.

You're charged a fee for your programme. At LSE, your tuition fee covers registration and examination fees payable to the School, lectures, classes and individual supervision, lectures given at other colleges under intercollegiate arrangements and, under current arrangements, membership of the Students' Union. It doesn't cover living costs or travel or fieldwork.

Home

£38,000

Home student fee (2025/26)

For this programme, all students pay the same tuition fees, regardless of their fee status.

Learning and assessment

How you learn

Graduate destinations

Overview

Our students have found employment in the following companies:

  • Accenture
  • Ali baba
  • Atkins
  • Bain & Company
  • Barclays
  • Bloomsberg
  • Blue Sky Analytics
  • British Business Bank
  • Capula Investment Management
  • causalLens
  • CdR Capital
  • China Export & Credit insurance
  • Credit Suisse
  • Deloitte
  • Department for Education
  • DiDi
  • Dish Network
  • Emirates
  • European Central Bank
  • Farrell Management
  • Goldman Sachs
  • Guodu Securities
  • Johnson & Johnson
  • KPMG
  • Kagool
  • Laskaridis Shipping
  • Lanner Capital
  • ION Group
  • Janes Consulting
  • LET consultancy
  • Leeds Building Society
  • Mazars
  • McKinsey & Company
  • Management Solutions
  • Ministry of Defence (Singapore)
  • Minsheng Securities
  • Nomura
  • PMSI Strategy
  • Parasol international
  • People’s Insurance Company
  • Pramerica Fosun
  • Proctor & Gamble
  • PwC
  • Red Bull
  • Riverstone
  • Royal Bank of Scotland
  • Samba TV
  • State Street
  • Smartodds
  • Tudor Group
  • Turner Townsend
  • UnionPay
  • YOOX Net-a-Porter Group

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