BSc Financial Mathematics

3 Years On Campus Bachelors Program

Cardiff University

Program Overview

The BSc Financial Mathematics is a three‑year degree that combines strong mathematical and statistical foundations with specialised financial mathematics. It’s ideal for students interested in finance, banking, insurance, or quantitative analysis who want a rigorous, career-focused mathematics education without a placement or study abroad year.

Curriculum Structure

Year One
You start with core mathematics modules including Elementary Differential Equations (MA1001), Computing for Mathematics (MA1003), Geometry (MA1004), Foundations of Mathematics I & II (MA1005, MA1006), Linear Algebra I (MA1008), and Introduction to Probability Theory (MA1500). Introductory finance and statistics modules such as Statistical Inference (MA1501) and Finance I: Financial Markets and Corporate Financial Management (MA1801) give you early exposure to financial mathematics alongside core mathematics.

Year Two
The second year builds on your mathematics, statistics, and financial knowledge with advanced modules in probability, statistics, and financial mathematics. Optional modules allow you to focus on areas such as applied mathematics, operational research, and modelling, giving you flexibility to tailor your studies toward theoretical or applied finance.

Year Three (Final Year)
The final year offers specialised financial mathematics options and a project. Core and optional modules may include Behavioural Finance (MA3800), Market Microstructure and Trading Theory (MA3801), Trading, Market Design and Applications (MA3804), Mathematics of Artificial Intelligence (MA3701), or other relevant modules. The final-year project allows you to explore a financial-mathematical topic in depth, applying both theoretical and computational techniques.

Focus areas:
Mathematics, statistics, financial mathematics (markets, trading theory, financial modelling), applied and computational mathematics.

Learning outcomes:
Graduates will have strong analytical, quantitative, and problem-solving skills, with specialised knowledge in finance, financial markets, and modelling techniques. They will be prepared for roles in finance, banking, insurance, trading, risk analysis, and quantitative analysis.

Professional alignment (accreditation):
Accredited by the Institute of Mathematics and its Applications (IMA), ensuring the qualification is recognised professionally for mathematics and finance careers.

Reputation (employability & global standing):
Graduates are well-positioned for careers in financial services, data analysis, trading, risk management, and quantitative finance. The degree’s combination of rigorous mathematics and applied financial knowledge makes it highly valued by employers in finance and related sectors.

Experiential Learning (Research, Projects, Internships etc.)

The BSc in Financial Mathematics is a 3-year degree that combines rigorous mathematical training with a strong focus on finance and quantitative applications. You’ll study the mathematics underpinning financial markets, risk management, actuarial science, and quantitative analytics. The programme prepares students for careers in banking, trading, insurance, data analytics, and related quantitative industries, or for further postgraduate study.

Experiential Learning — Practical Skills, Tools & Structure

Modern teaching environment: Classes and labs take place in Abacws, Cardiff’s purpose-built mathematics facility, which includes collaborative spaces, computing labs, and a simulated Trading Room to provide hands-on experience with financial markets and trading scenarios.
Core and finance-focused modules:
- Year 1: Fundamental mathematics (calculus, algebra, probability, statistics, linear algebra) alongside an introductory finance module covering financial markets and corporate finance.
- Year 2: Advanced mathematics, operational research, statistics, and finance-specific modules, providing tools for risk modelling, quantitative finance, and analytics.
- Year 3: Final-year modules such as Market Microstructure, Risk Modelling, Quantitative Finance, and Computational Finance, plus the opportunity to complete an individual project.
Computational tools and programming: Students learn to use programming and financial software for data analysis, simulation, and modelling, applying mathematics to real-world financial problems.
Project work and problem-solving: Assessment includes individual and group projects, problem-solving exercises, written reports, and presentations, emphasizing practical applications and communication of quantitative results.
Academic support: Personal tutors, workshops, tutorials, and library/digital resources provide guidance and reinforce independent learning and research skills.

Skills & Career Readiness

Graduates develop:

Strong quantitative and financial skills, including probability, statistics, calculus, operational research, and financial mathematics.
Industry-relevant experience through simulated Trading Room exercises, computational tasks, and applied projects.
Professional and transferable skills: problem-solving, analytical thinking, teamwork, communication, time management, and ability to apply mathematics to real-world financial scenarios.
Career versatility: Graduates are prepared for roles in finance, banking, risk management, trading, data analysis, actuarial work, and quantitative research.

Who This Programme Is Best For

Students interested in finance, markets, quantitative analysis, or risk management.
Those who want strong mathematical training combined with practical applications in finance.
Students aiming for careers in banking, trading, insurance, data analytics, fintech, or quantitative research.
Those considering postgraduate study in finance, mathematics, or related fields.

Progression & Future Opportunities

This degree equips you with a strong foundation in mathematics and financial theory, preparing you for careers such as Quantitative Analyst, Risk Analyst, Investment Analyst, Financial Modeller, Data Analyst in Finance, or roles in banking, fund management, insurance, and fintech. The focus on financial mathematics, combined with rigorous analytical training, gives graduates the skills to excel in data-driven financial roles and quantitative problem-solving environments.

What Cardiff University Offers (Support, Curriculum & Opportunities)

Specialist financial mathematics training — Core mathematics modules (calculus, algebra, probability, statistics, analysis) are combined with finance-specific topics such as financial markets, corporate finance, investment theory, quantitative finance, risk management, trading, and fund management.
Modern facilities including a simulated Trading Room — Students gain practical exposure to financial markets and trading concepts through Cardiff’s purpose-built facilities.
Flexible degree structure — The first year is shared with other mathematics-based degrees, allowing students to switch tracks if interests change.
Comprehensive academic support — Personal tutors, weekly tutorials, supervised labs, and drop-in sessions help students succeed in both foundational and applied mathematics.
Accreditation — Accredited by the Institute of Mathematics and its Applications (IMA), providing long-term professional recognition and credibility.

Further Academic Progression

Graduates are well-prepared to pursue postgraduate study in financial mathematics, quantitative finance, data science, econometrics, risk management, or applied mathematics. The degree’s strong quantitative and finance-focused training also prepares students for advanced professional roles in banking, investment analysis, insurance, and fintech, without needing further academic qualifications.