Overview
Our Financial Mathematics MSc enables graduates and professionals with a strong mathematical background to research, develop and apply quantitative and computational techniques to investment and risk management.
Based in the Department of Mathematics, this course has a superb reputation for research-led teaching and strong links to industry.
Key benefits
- A rigorous approach to quantitative finance taught entirely by the Department of Mathematics.
- Top 10 in the UK for Mathematics (QS World Rankings by subject 2025).
- 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 close to the with City of London’s financial centre, and with access to live market data in our Bloomberg Data Laboratory.
- Flexible study course offering the opportunity to study part-time.
- 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.
- Lecturers have extensive experience in working for financial institutions such as Bank of Finland, Commerzbank, Deutsche Bank, Goldman Sachs, ION Trading, Standard Chartered Bank and Winton Capital Management.
- The Department of Mathematics is a leading centre of research, with 100 percent of research classed as world-leading or internationally excellent (REF 2021).
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.
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:
Closed
Start date:
September 2025
Administrative bodies
Regulating body
Application closing date guidance
Base campus
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.