BSc Mathematics with Statistics for Finance (G1G4)
2025 entry
Course summary
Join a University ranked in the UK top five for Maths research (THE analysis of REF 2021) with an excellent reputation for teaching and learning (UK top ten for Maths, QS World University Rankings by subject 2023).
If you enjoy the satisfaction of applying real-world mathematical knowledge and are interested in a career in finance, this practical course will help you stand out to top employers.
You'll learn statistical skills from leading mathematicians, who are passionate about their subject and teach modules informed by cutting-edge research. You'll also have the chance to take some units on more theoretical topics, with diverse options such as Quantum Mechanics or Number Theory.
Think Big bursaries of £3,000 are available to support first-year international undergraduate students in this subject area.
Course structure
The first year provides a broad background in pure, applied and statistical mathematics via a range of compulsory units. You'll cover material in lectures and small-group tutorials, with the freedom to explore a range of topics in collaboration with your personal tutor and fellow students.
From year two you will focus more on units that relate to statistics for use in finance, although there is still scope to take some units from other areas.
As you move through the course you will gain academic independence, moving from small-group tutorial teaching in year one to an independent project in your final year.
Entry requirements
We accept a wide variety of qualifications and welcome applications from students of all backgrounds. Below is a guide to the typical offers for this course.
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Selection process
- Regulations and codes of conduct we abide by to create a positive environment for learning and achievement are found in the University admissions policies and procedures.
- If applying with extenuating circumstances please see our policy.
- Full information about our selection processes for Mathematics with Statistics for Finance can be found in the Admissions Statement:
Admissions statement