Mathematics and Computing for Finance Swansea University

Overview

The MSc in Mathematics and Computing for Finance at Swansea University is a postgraduate taught degree designed to give you strong quantitative and computational skills tailored to the financial industry. The programme combines advanced mathematical techniques — such as stochastic processes, optimisation and financial modelling — with computing and programming skills used for data analysis, algorithmic trading and risk assessment. You’ll learn how to apply mathematical methods and software tools to real financial problems, gaining experience in areas like time series analysis, financial derivatives and numerical methods.

Why Mathematics and Computing for Finance at Swansea?

Swansea University is ranked within the top 201-250 universities globally according to the QS World University Rankings 2025. The university boasts world-class facilities dedicated to mathematical and computational sciences, ensuring students have access to cutting-edge resources. Furthermore, 100% of the university's publications are recognised as world-leading or internationally excellent, as per the Research Excellence Framework (REF) 2021. This strong academic reputation is complemented by strategic partnerships with industry leaders, enhancing the learning experience and providing students with valuable networking opportunities.

Tuition Fee Breakdown

The tuition fees for the MSc in Mathematics and Computing for Finance are as follows:

• National Students: £11,900 per year
• International Students: £26,000 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum is designed to provide a comprehensive understanding of both mathematics and computing in the context of finance. Students will engage with a variety of modules, including:

• Financial Mathematics in Discrete Time
• Markov Processes and Applications
• Machine Learning
• Financial Mathematics in Continuous Time
• Partial Differential Equations
• Cashflows and Interest Rates
• Probability and Statistics for Finance
• Assurance and Annuity
• Risk and Survival Models
• Biomathematics

In the final stage, students will undertake a substantial dissertation project, applying their knowledge to real-world financial problems.

Industry Demand

The demand for skilled mathematicians in the finance sector is significant, with many banks and financial institutions actively seeking graduates who possess advanced analytical and computational skills. This MSc programme prepares students for various roles in finance, technology, and business, addressing the urgent need for expertise in statistical analysis and research.

Guaranteed Work Experience

The programme includes a built-in work experience component, allowing students to gain practical insights and enhance their employability in the competitive finance job market.

Careers with Mathematics and Computing for Finance

Graduates of the MSc in Mathematics and Computing for Finance have a wealth of career opportunities available to them. Alumni have successfully secured positions in prestigious organisations such as AXA, British Airways, Deutsche Bank, Shell Research, and various health authorities and local government bodies. The skills acquired through this programme enable graduates to excel in roles related to statistical analysis, research and development, and financial consultancy.