Program Overview

Through developing expert abilities in mathematics and discovering how these can be applied to financial situations, you will improve your capacity to make successful financial decisions and understand how you can turn risk into opportunity.

Our BSc Finance and Mathematics course offers you modules in mathematics, accounting, economics and actuarial science. Our business-focused course equips you with the knowledge and skills that are in demand by employers, and in particular in financial markets or corporate careers that involve financial decision-making and problem-solving.

You gain a thorough grounding in both finance and mathematics, investigating topics including:

• Corporate finance
• Portfolio management
• Applying mathematical techniques
• Statistics and probability
• Micro- and macro-economics

As part of our Department of Mathematical Sciences, you’re a member of an inclusive and approachable research community which allows you to explore topics in pure, high-level mathematics and applied mathematics.

More than two-thirds of our research is rated “world-leading” or “internationally excellent”, placing us in the top 25 in the UK for research excellence (REF 2014).

Our Department of Mathematical Sciences is genuinely innovative and student-focused. Our research groups are working on a broad range of collaborative areas tackling real-world issues. Here are a few examples:

• Our data scientists carefully consider how not to lie, and how not to get lied to with data. Interpreting data correctly is especially important because much of our data science research is applied directly or indirectly to social policies, including health, care and education.
• We do practical research with financial data (for example, assessing the risk of collapse of the UK’s banking system) as well as theoretical research in financial instruments such as insurance policies or asset portfolios.
• We also research how physical processes develop in time and space. Applications of this range from modelling epilepsy to modelling electronic cables.
• Our optimisation experts work out how to do the same job with less resource, or how to do more with the same resource.
• Our pure maths group are currently working on two new funded projects entitled ‘Machine learning for recognising tangled 3D objects’ and ‘Searching for gems in the landscape of cyclically presented groups’.
• We also do research into mathematical education and use exciting technologies such as electroencephalography or eye tracking to measure exactly what a learner is feeling. Our research aims to encourage the implementation of ‘the four Cs’ of modern education, which are critical thinking, communication, collaboration, and creativity.