Strand Campus
Strand Campus feels like the heart of London—historic yet buzzing with energy. Nestled by the Thames, it offers world-class academics, vibrant student life, and endless inspiration from the city’s culture and diversity.
Overview
Our Financial Mathematics with Data Science MSc enables you to research, develop and apply quantitative and computational techniques to investment and risk management. Designed for graduates and professionals with a strong mathematical background, it gives you the skills and knowledge needed to work in the financial, actuarial or related industries.
The course also provides a rigorous grounding in data science methods, including how machine learning and AI tools can be deployed and improved, all of which are highly relevant to the finance industry. This powerful combination of mathematical finance theory and data science techniques will prepare you for a wide variety of careers in banking and finance, as well as business management, FinTech, start-ups, and financial regulation.
Key benefits
- 8th in the UK for Mathematics (QS and Times Higher Education subject rankings 2025).
- One of very few Financial Mathematics degrees with Data Science in the country.
- A rigorous approach to quantitative finance with in-depth coverage of the skills needed for working in the financial, actuarial or related industry, including probability theory, optimisation, statistics and computer implementation.
- Flexible choice of innovative modules, including the option to take modules from the Department of Informatics’ Computational Finance MSc and even other University of London institutions.
- Lecturers on the course have extensive experience in consulting and working in finance including for Goldman Sachs, Deutsche Bank, Commerzbank, the Bank of Finland, ION Trading, Standard Chartered Bank and Winton Capital Management.
- King’s is a member of the London Mathematical Finance Group – a consortium of researchers across London universities and business schools who host seminars with experts from around the world and provide advanced courses for students beyond the MSc syllabus.
- Central location puts you at the heart of the business and financial centre in the City of London, and close to major libraries and leading societies, including the London Institute for Mathematical Sciences.
- The Department of Mathematics is a leading centre of research, with 100 percent of research classed as world-leading or internationally excellent (REF 2021).
- 6th in the UK for producing the most employable graduates (Times Higher Education Graduate Employability rankings 2025).
King’s is a great platform to learn about Bloomberg and other 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.
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.
Bloomberg terminal laboratory
King’s is one of only a few academic departments in the UK that offers full access to Bloomberg terminals. These terminals will provide you access to live financial data. They are heavily used within the financial industry, and the data they provide is critical in assisting traders in making investment decisions and for risk managers monitoring investment probabilities. We have a number of Bloomberg terminals available for use by the Financial Mathematics MSc course.
You will use the Bloomberg terminals to:
- gain an intuition for the conduct of real financial markets
- develop potential investment strategies
- experience using real-world investment and risk management software and obtain data for research.
The skills you will learn from using the terminals are highly valued by employers. King’s is part of a strong network of financial mathematics in London with connections both in academia and in the industry
Key Information
Course type:
Master's
Delivery mode:
In person
Study mode:
Full time / Part time
Duration:
One year full-time, two years part-time
Credit value:
UK 180/ECTS 90
Application status:
Open
Start date:
September 2026
Administrative bodies
Regulating body
Application closing date guidance
Base campus