Program Overview

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MSc Quantitative Methods for Risk Management

The MSc Quantitative Methods for Risk Management offers world-class training in mathematical, statistical, and machine learning methods for the modelling and analysis of risk in financial markets and beyond.

Introduction

This programme has been created in response to industry’s strong demand for experts with a deep understanding of risk and a modern quantitative toolset blending mathematical modelling, statistics, and machine learning.

Preliminary Readings

• S Shreve Stochastic Calculus for Finance I: the binomial asset pricing model (Springer, 2004)
• J C Hull Risk Management and Financial Institutions (Wiley, 2012)

Entry Requirements

Upper second class honours (2:1) degree or equivalent in actuarial science, mathematics, statistics, or mathematical economics/finance.

Overseas

Select a country from the list to find out the entry requirements that apply to you.

• Afghanistan
• Albania
• Algeria
• Angola
• Anguilla
• Antigua and Barbuda
• Argentina
• Armenia
• Australia
• Austria
• Azerbaijan
• Bahrain
• Bangladesh
• Barbados
• Belarus
• Belgium
• Belize
• Benin
• Bermuda
• Bhutan
• Bolivia
• Bosnia and Herzegovina
• Botswana
• Brazil
• British Virgin Islands
• Brunei
• Bulgaria
• Burkina Faso
• Burma (Myanmar)
• Cambodia
• Cameroon
• Canada
• Cayman Islands
• Chile
• China
• Colombia
• Comoros
• Costa Rica
• Croatia
• Cuba
• Cyprus
• Czech Republic
• Democratic Republic of Congo
• Denmark
• Dominica
• Dominican Republic
• East Timor
• Ecuador
• Egypt
• El Salvador
• Equatorial Guinea
• Eritrea
• Estonia
• Ethiopia
• Fiji
• Finland
• France
• Georgia
• Germany
• Ghana
• Greece
• Greenland
• Grenada
• Guatemala
• Guinea
• Guinea-Bissau
• Guyana
• Haiti
• Hong Kong
• Hungary
• Iceland
• India
• Indonesia
• Iran
• Iraq
• Ireland
• Israel
• Italy
• Ivory Coast
• Jamaica
• Japan
• Jordan
• Kazakhstan
• Kenya
• Kingdom of Eswatini
• Kiribati
• Kosovo
• Kuwait
• Kyrgyzstan
• Laos PDR
• Latvia
• Lebanon
• Lesotho
• Liberia
• Libya
• Lithuania
• Luxembourg
• Macau
• Madagascar
• Malawi
• Malaysia
• Maldives
• Mali
• Malta
• Mauritania
• Mauritius
• Mexico
• Micronesia
• Moldova
• Monaco
• Mongolia
• Montenegro
• Montserrat
• Morocco
• Mozambique
• Namibia
• Nepal
• Netherlands
• New Zealand
• Nicaragua
• Nigeria
• North Korea
• North Macedonia
• Norway
• Oman
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• Panama
• Paraguay
• Peru
• Poland
• Portugal
• Puerto Rico
• Qatar
• Romania
• Russia
• Rwanda
• Samoa
• San Marino
• Saudi Arabia
• Senegal
• Serbia
• Sierra Leone
• Singapore
• Slovakia
• Slovenia
• Somalia
• South Africa
• South Korea
• South Sudan
• Spain
• Sri Lanka
• St Kitts and Nevis
• St Lucia
• St Vincent and the Grenadines
• Sudan
• Sweden
• Switzerland
• Syria
• Taiwan
• Tajikistan
• Tanzania
• Thailand
• The Bahamas
• The Gambia
• The Philippines
• The Seychelles
• Trinidad and Tobago
• Tunisia
• Turkey
• Turkmenistan
• Turks and Caicos Islands
• Uganda
• Ukraine
• United Arab Emirates
• United States of America
• Uruguay
• Uzbekistan
• Venezuela
• Vietnam
• West Bank, East Jerusalem and Gaza
• Yemen
• Zambia
• Zimbabwe

English Language Requirements

The English language requirement for this programme is Standard.

Programme Content

You'll take a compulsory two-week pre-sessional course in Financial Mathematics before the start of the programme. You'll then take courses to the value of four full units in total, made up of compulsory and optional courses.

Year 1

• MA400: Non-credit bearing
• ST409: Half unit, Stochastic Processes
• ST429: Half unit, Statistical Methods for Risk Management
• ST463: Half unit, Stochastic Simulation, Training, and Calibration
• Optional courses to the value of two and half units

Why Study with Us

The Department of Statistics at LSE is one of the oldest and most distinguished in the UK.

Meet the Department

The department has an international reputation for the development of statistical methodology and a long history of pioneering contributions to research and teaching.

Why LSE

• University of the Year 2025 and 1st in the UK
• 1st in London for the 14th year running
• 6th In the world
• Carbon Neutral In 2021, LSE became the first Carbon Neutral verified university in the UK

Your Application

We welcome applications from all suitably qualified prospective students.

Overview

We carefully consider each application and take into account all the information included on your application form.

When to Apply

Applications for this programme are considered on a rolling basis.

Fees and Funding

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

Home

£22,000 Home student fee (2026/27)

Overseas

£39,900 Overseas student fee (2026/27)

Fee Status

At LSE, your tuition fees, and eligibility for any financial support, will depend on whether you’re classified as a home or overseas student.

Scholarships, Bursaries, and Loans

• Fee reduction
• Scholarships and other funding
• Government tuition fee loans and external funding

Learning and Assessment

• How you learn
• How you're assessed

How You Learn

• Contact hours and independent study
• Teaching methods
• Academic support

How You're Assessed

All taught courses are required to include formative coursework which is unassessed.

Graduate Destinations

The programme offers excellent prospects for employment and further study.

Overview

Our alumni have taken up positions in banks, asset management firms, insurance and reinsurance companies, data analytics companies, consulting firms, and world-wide research institutions.

Career Support

From CV workshops through to careers fairs, LSE offers lots of information and support to help you make that all-important step from education into work.

Find Out More

• Related programmes
• Explore LSE

Related Programmes

• MSc Financial Statistics
• MSc Operations Research and Analytics
• MSc Financial Mathematics
• MSc Finance and Risk

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