Course summary
Mathematics is the beating heart of the financial sector. With us you'll develop the mathematical and statistical knowledge to model and predict the behaviour of financial markets. Our programme is flexible too! There are three distinct specialisms to choose from, allowing you to tailor it to your specific needs and interests. You'll graduate with the theoretical knowledge and hands-on skills for a wide range of careers in the financial services industry, including investment banking, investment management, fintech, quantitative pricing and risk management.
- Learn from industry experts! Our lecturers have several years’ experience working in investment banking and financial markets.
- Develop data analysis skills! You will learn to implement machine learning tasks in Python and programme in C++.
- Choose your own specialism! You’ll focus on developing the professional skills for the job you want.
- Interdisciplinary education! The programme is run in collaboration with the School of Economics and Finance.
- Pivot towards finance! We welcome students from a range of backgrounds including mathematics, statistics, physics, economics, engineering, computer science, and finance, or a subject with a strong quantitative component.
Modules
Please refer to our website for information on modules related to this programme
Entry requirements
A good 2:2 or above at undergraduate level in Mathematics or a subject with a strong Mathematics component such as Physics, Engineering or Computer Science.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Provider information
Queen Mary University of London
Admissions and Recruitment Office
Mile End Road
Tower Hamlets
London
E1 4NS