Masters Degree Description
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.
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.
Entry Requirements
Standard requirement: High 2:1 (65%)
Bachelor';s degree with a minimum High 2:1 honours degree with a final mark of at least 65% or above in mathematics or mathematics based subject.
Applicants would need to demonstrate previous study of Further Mathematics and Pure Mathematics.
In order to meet the academic entry requirements for this programme you should have a minimum High 2:1 undergraduate degree with a final mark of at least 65% or above in the UK marking scheme. If you are still studying you should be achieving an average of at least 65% or above in the UK marking scheme.
Student Destinations
Our graduates are highly sought after by investment banks, corporate risk management units, insurance companies, fund management institutions, financial regulatory bodies, brokerage firms, and trading companies.
Recent employers of our graduates include Capital Investment, Credit Suisse, European Bank for Reconstruction & Development, Fitch Ratings, HSBC and Morgan & Stanley.
Some graduates have chosen to pursue postgraduate research degrees (PhDs) in Financial Mathematics at world-renowned universities.
Module Details
See our website for modules
Study Details: One year full-time, two years part-time
