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Overview

Fascinated by the future of finance? Want to tackle real-world financial challenges?

Our MSc Financial Mathematics with Data Science gives you a thorough grounding in the quantitative and computational techniques used in investment and risk management. You’ll explore topics such as probability theory, coding, derivative pricing and interest rate modelling, while examining how machine learning and AI are reshaping the industry.

Equip yourself for the next step in your career – in banking, business management, financial regulation or FinTech. This programme’s distinctive blend of mathematical insight and data-driven decision-making means you’ll be in demand from both global institutions and high-growth startups.

Key benefits

  • 8th in the UK for Mathematics (QS World University Rankings by Subject 2026).
  • One of very few Financial Mathematics degrees with Data Science in the country.
  • A rigorous approach to quantitative finance taught entirely by the Department of Mathematics.
  • In-depth coverage of the skills needed for working in the financial, actuarial or related industry: probability theory, optimisation, statistics and computer implementation.
  • Unrivalled facilities in central London with the City of London’s financial centre close by.
  • King’s is a member of the London Graduate School in Mathematical Finance which provides advanced courses for students who wish to push beyond the MSc core syllabus.
  • Flexible study course offering the opportunity to study part-time.
  • Lecturers on the course have extensive experience in consulting and working for financial companies and institutions such as Bank of Finland, Commerzbank, Deutsche Bank, Goldman Sachs, ION Trading, Standard Chartered Bank and Winton Capital Management.
  • 6th in the UK for producing the most employable graduates (Times Higher Education Graduate Employability rankings 2026).
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King’s is a great platform to learn about trading or coding tools too. King’s also organises career fairs, so I always go along to learn about companies, network and apply for internships and jobs.
Vansikha
VansikhaFinancial Mathematics MSc

Course essentials

Financial Mathematics studies problems of financial decision by combining various techniques from pure and applied mathematics. This course covers a diverse range of topics, from classical options pricing theory to post-crisis financial mathematics on optimal hedging, investment and risk management.

Like any branch of applied mathematics, financial mathematics analyses a given problem by first building a mathematical model for it and then examining the model. Both steps require detailed knowledge in different areas of mathematics, including probability, statistics, optimisation, computer science and many more traditional fields of mathematics.

Our Financial Mathematics MSc is a unique course that encompasses the essential skills required for successful risk management, trading and research in quantitative finance: probability, statistics, optimisation, computing and financial markets.

You will explore probability theories, risk neutral valuation, stochastic analysis, numerical methods, as well as interest rate and credit risk modules. We are members of the University of London and by arrangement, you can enrol in optional modules at other institutions within the University of London. We also offer you the opportunity to study an additional zero-credit supportive module called mathematical analysis for financial mathematics.

You must take modules totalling 180 credits to complete the course.

Full time students will complete the course in one year, from September to September. Part-time students will complete the course in two years.

King’s is part of a strong network of financial mathematics in London with connections both in academia and in the industry.

Application closing date guidance

Base campus

A quad courtyard, with people queuing at a van selling coffee, and chatting in conversation

Strand Campus

Strand Campus sits along the Thames at London's cultural heart. Alongside world-class teaching spaces, students enjoy access to the pedestrianised Strand Quad, with Somerset House and iconic landmarks just steps away.