Financial Mathematics MSc

1 Year On Campus Masters Program

University of Sussex

Program Overview

Program overview

If you’re passionate about applying advanced mathematics and computing skills to today’s fast‑moving financial markets, the MSc Mathematics and Computing for Finance at Swansea University equips you with the analytical, computational and problem‑solving expertise that employers in banking, insurance, risk and fintech are looking for. Throughout this programme, you’ll blend rigorous mathematical theory with practical computing tools and complete a substantial project that showcases your ability to tackle real‑world financial challenges.

Curriculum structure

Autumn & Spring Terms:
In the taught part of the course, you’ll build a strong foundation in both theoretical and computational aspects of financial mathematics. You’ll explore a range of modules covering stochastic processes that underpin random market behaviour, elements of algebraic coding theory for structured data analysis, Black–Scholes theory central to option pricing, and core topics in financial mathematics that link mathematics directly to market applications. This blend of topics ensures you’re fluent in both the quantitative models and computational techniques used in finance today.

Dissertation Project:
After the taught modules, you’ll dedicate time to a significant dissertation project where you apply what you’ve learned to a substantial independent piece of research or numerical investigation. Supported by expert academic staff, this project lets you demonstrate your ability to independently develop and communicate sophisticated solutions a valuable differentiator for careers in quantitative finance, actuarial work or further research.

Focus areas

Stochastic processes, financial mathematics (including Black–Scholes models), algebraic coding theory, computational methods, and independent research in a finance‑focused quantitative context.

Learning outcomes

You will gain deep mathematical understanding of financial systems, practical skills in mathematical computing and modelling, and the capacity to independently deliver a substantial project that reflects both analytical and programming proficiency.

Professional alignment (accreditation)

This MSc prepares you for the quant‑focused demands of finance, insurance and technology sectors, where advanced mathematical modelling and computing skills are essential — and supports career paths in actuarial science, risk analysis, quantitative research and related fields.

Reputation (employability rankings)

Swansea University is placed in the Top 201‑250 in the World in the QS World University Rankings 2025, and the School of Mathematics and Computer Science benefits from world‑class research excellence as recognised by the Research Excellence Framework (REF) 2021.

Experiential Learning (Research, Projects, Internships etc.)

When you join the Mathematics and Computing for Finance MSc at Swansea University, you’ll dive into a programme that actively builds real‑world analytical, computational and financial modelling skills. This MSc blends core mathematics with computing tools and financial theory, so you don’t just learn concepts you use them in meaningful, practical contexts. You’ll complete challenging coursework, develop sophisticated computational approaches, and cap off your year with a significant dissertation project that gives you hands‑on experience completing a substantial piece of independent research. You’ll also benefit from Swansea’s world‑class facilities, including the bespoke Computational Foundry space tailored for mathematical and computing sciences, and departmental learning spaces with extensive digital resources.

Experiential Learning Opportunities and Tools:

Project‑based dissertation: In the second half of the programme you complete a major dissertation focused on an advanced topic in mathematics, computing or financial modelling developing research planning, analysis and communication skills that are directly relevant to industry and research.
Mathematics & computing integration: You’ll study modules covering financial mathematics, stochastic processes, numerical methods, programming and Black‑Scholes theory, which combine theory with applied computational tasks that build your analytical and technical expertise.
Computational Foundry facilities: You’ll learn in Swansea’s £32.5 million Computational Foundry at Bay Campus a world‑class facility giving you access to modern teaching spaces, collaborative study areas and computing environments designed for mathematical and computational work.
Department Reading Room & computing suite: The School’s Reading Room provides dedicated departmental library resources and a suite of computers specifically for mathematics and computing students, supporting your project work and independent study. Extensive library and digital services: You’ll have full access to the main university library’s mathematics collection and Swansea’s digital services essential for literature research, modelling, programming support and advanced study.
Research‑active academic staff: You’ll be taught by expert staff active in areas like stochastic analysis and computational mathematics, bringing current research insights into practical learning and analytical problem solving. (turn0search0)
Assessments mixing theory and application: Learning is reinforced through a combination of written examinations, coursework and project‑style assessments, ensuring you practise applying concepts to real problems and communicating results effectively.

Progression & Future Opportunities

Graduates of the MSc Mathematics and Computing for Finance at Swansea University gain a strong blend of mathematical theory, computational tools and financial insight that prepares them for careers where quantitative analysis meets real‑world decision‑making: typical roles include Quantitative Analyst, Risk Analyst, Financial Modeller and Data/Computational Analyst in sectors such as banking, insurance, technology and business. With focused support and an industry‑relevant dissertation experience, you’ll be ready to enter analytically demanding careers with confidence.

Here’s how this programme supports your progression & future opportunities:

University services that help students to employ:
• Swansea’s Careers and Employability Service offers tailored guidance, CV and interview support, and connections to employers helping you translate your analytical skills into job readiness.
• Within the School of Mathematics and Computer Science you receive discipline‑specific career advice and support shaping your dissertation project into a professional asset, plus access to the university library, digital services and specialist computing facilities.
Employment stats and salary figures:
• The university reports that an MSc in mathematics‑related areas significantly improves career prospects, with graduates finding roles in actuarial, finance, technology and business fields areas that generally command competitive salaries for analytical professionals.
• Swansea’s broader mathematics and computing programmes have alumni employed by recognised organisations such as AXA, BA, Deutsche Bank, Shell Research, Health Authorities and Local Government, showing real outcomes across industries.
University–industry partnerships (specific):
• While the course page does not list formal corporate partners, the design of the degree specifically addresses demand from global finance and insurance markets for mathematically trained professionals, and the curriculum covers modules like financial mathematics, stochastic processes and machine learning which mirror industry needs.
• The dissertation project supported by academic supervisors helps you build industry‑aligned research or applied work, enhancing your portfolio and professional visibility upon graduation.
Long‑term accreditation value:
• Swansea University is ranked top 201‑250 in the world in the QS World University Rankings, giving global recognition to your qualification and credibility with employers.
• The combination of mathematics and computational finance skills equips you with transferable analytical, modelling and programming expertise that remains valuable in evolving finance, technology and analytics careers.
Graduation outcomes:
• Graduates are prepared for quantitative, analytical and research‑oriented roles where mathematics interfaces with finance, technology and data science.
• Swansea alumni from related mathematics and computing degrees have moved into professional roles that apply numerical modelling, statistical analysis and computational problem solving.

Further Academic Progression:
After completing the MSc, you can choose to progress into advanced research degrees (MPhil/PhD) in areas such as financial mathematics, computational finance, data science or applied mathematics, building on the dissertation and research skills you develop during the programme. This pathway is ideal if you’re aiming for specialist research roles or academic careers where deep quantitative expertise is essential.