BSc Hons Mathematics for Finance

The Mathematics for Finance degree at Swansea is built to bridge deep mathematical thinking with the quantitative demands of financial systems. Right from the beginning, you’ll work on core mathematical concepts, and gradually apply them to stochastic modelling, risk, and financial markets. You’ll benefit from:

• Small-group tutorials where you work through theory and applications, supported by experienced faculty

• Lectures and seminars designed by internationally recognised mathematicians with expertise in stochastic processes, probability, and financial maths

• Applied modelling exercises where you use mathematical tools to simulate financial systems, price models, or examine risk dynamics

• A research or project element in your final year, where you might explore topics like stochastic analysis in finance or time-series modelling

• Options for a year abroad or year in industry, allowing you to gain professional experience or international exposure

• Peer mentoring to help you navigate both academic challenges and the transition into university-level mathematics

Facilities & Support That Boost Your Learning

• Teaching and study take place in Swansea’s Computational Foundry, a cutting-edge facility built for mathematics and computational science

• There’s a dedicated Mathematics Reading Room — a peaceful study environment stocked with specialist texts and resources for deeper theoretical and applied work

• High-performance computing labs are available for simulations, numerical methods, and advanced problem-solving

• Swansea’s virtual learning tools support blended learning, with recorded lectures, online quizzes, and discussion forums

• Academic support is provided through the Centre for Academic Success, helping with mathematical reasoning, writing, and exam techniques

• Careers and employability support guides you toward internships, part-time work, or full-time roles in quantitative finance, banking, and risk

What You’ll Study: Key Modules & Topics

Over the course of the degree, you’ll cover a mix of pure, applied, and financial mathematics. Typical topics include:

• Foundations of Algebra and Geometry

• Introduction to Modelling and Simulation

• Differential Equations

• Real Analysis

• Probability and Statistics

• Stochastic Processes

• Financial Mathematics (such as modelling financial derivatives)

• Numerical Methods and Computational Techniques

• Optional areas like Game Theory, Coding Theory, Functional Analysis, or Partial Differential Equations

• In the final year, a project or dissertation linked to finance-focused mathematics

Career Outcomes & Professional Value

Graduates of this course are very well positioned for roles where mathematics meets finance:

• Quantitative analyst or “quant” in banking and finance

• Actuarial roles, especially those involving risk modelling and stochastic analysis

• Data science, particularly in financial services, fintech, or insurtech

• Risk management and pricing for financial institutions

• Economic consultancy or financial engineering

• Further study via master’s programs in mathematics, financial mathematics, or actuarial science

Why This Programme at Swansea Is a Smart Choice

• Combines rigorous mathematics with practical finance, giving you both theoretical strength and industry relevance

• Taught by research-active mathematicians working in stochastic processes, probability, and financial modelling

• Excellent facilities with dedicated study and computing infrastructure

• Flexible study options: year abroad or year in industry widen your exposure

• Strong student support: mentoring, personal tutoring, academic services

• Strong professional relevance: equips you for high-value, quantitative finance careers

Graduates of Swansea’s BSc (Hons) Mathematics for Finance are well prepared for analytical, financial, actuarial, and quantitative careers. The programme blends pure mathematics with practical financial modelling, giving you strong employability across finance and data-driven sectors.

Typical job roles include:

• Quantitative Analyst

• Actuarial Analyst / Actuary

• Financial Risk Analyst

• Financial or Investment Modeller

• Data Scientist (Finance)

Why this degree at Swansea is valuable:

• University Services & Support

  • Careers & Employability Team provides workshops, employer events, placement guidance, and tailored 1:1 career planning.

  • Each student receives a Personal Tutor for academic mentoring, plus access to peer support schemes.

  • The Centre for Academic Success offers help with mathematics, statistics, academic writing, and study skills.

  • Teaching takes place within the modern Computational Foundry — a specialist environment for mathematics, computing, and data analysis.

• Employment & Salary Outlook

  • Mathematics graduates typically earn significantly above the national graduate average, with data showing around a 50% higher earning potential in related fields.

  • Swansea mathematics graduates have progressed into roles with major employers including large banks, insurance companies, technology firms, government departments, and energy companies.

  • Subject-level earning outcomes show strong progression from early career (~£20K) to mid-career (~£30K+).

• Industry & Research Connections

  • The programme covers essential financial mathematics tools such as stochastic processes, risk models, and survival analysis — all widely used in finance and insurance.

  • Teaching staff include internationally recognised researchers in probability, analysis, algebra, and applied mathematics.

  • Students can choose a Year in Industry or a Year Abroad, gaining valuable professional or international experience.

• Long-Term Accreditation Value

  • The degree meets the educational requirements for the Chartered Mathematician (CMath) designation through the Institute of Mathematics and its Applications.

  • This accreditation enhances long-term professional recognition in mathematically focused careers.

• Graduation Outcomes

  • Final-year modules specialise in areas such as financial mathematics, cash-flow modelling, and risk theory.

  • Graduates move into actuarial firms, banks, investment companies, analytics teams, fintech organisations, and mathematical research fields.

Further Academic Progression:

After completing this degree, students can progress to:

• MSc programmes in Financial Mathematics, Applied Mathematics, Data Science, or related quantitative fields.

• PhD research in areas such as stochastic analysis, applied mathematics, or financial modelling.

• Professional actuarial qualifications, supported by the degree’s strong alignment with actuarial mathematics and risk modelling.

• Specialist finance postgraduate routes such as Quantitative Finance or Risk Management.