BSc Financial Mathematics
About this course
BSc in Financial Mathematics, a mathematics degree focused on quantitative methods, financial theory, and analytical problem-solving. Core topics include Statistics, Mathematical Modelling, Entrepreneurship, and Artificial Intelligence & Machine Learning. Students complete a final-year project module as part of the curriculum. The first year covers mathematical foundations and finance through Computing for Mathematics, Foundations of Mathematics I, Linear and Differential Equations, and Probability and Statistics. The second year introduces deeper analytical techniques with Linear Algebra and Multivariable Calculus, Probability Theory and Stochastic Simulation, Operational Research, and Further Finance: Pricing and Risk Modelling, alongside optional choices like Entrepreneurship. The third year centres on advanced financial applications via Behavioural Finance and Market Microstructure, Trading Theory and Applications. Optional modules span specialist areas such as Stochastic Processes for Finance and Insurance, Statistical Modelling, Game Theory, and Mathematics of AI and Deep Learning, with the option to undertake a project module.
Written by AI from the university's course page and module list. It can get details wrong, so check the official course page before you rely on it.
What students say
Based on about 78 final-year students who answered, across similar courses at this university
- Teaching on my course: 80%
- Learning opportunities: 81%
- Assessment and feedback: 76%
- Academic support: 87%
- Organisation and management: 82%
- Learning resources: 89%
- Student voice: 71%
Do students stay on the course?
Based on about 250 students who started, across similar courses at this university
- Continued on course: 92%
- Left higher education: 4%
- Moved to a lower qualification: 4%
What graduates do next
Based on about 34 graduates who answered, across similar courses at this university
- Working: 75%
- Working and studying: 7%
- Further study: 8%
- Unemployed: 5%
Most common jobs
- Finance Professionals: 20%
- Business and public service associate professionals: 20%
- Administrative occupations: 10%
- Business, Research and Administrative Professionals: 10%
- Engineering professionals: 5%
- Find their work meaningful: 80%
- Feel on track for their future plans: 70%
- Use what they learnt on the course: 55%
Where graduates work (5 years on)
Based on about 160 graduates, across similar courses at this university
- North West: 4%
- Yorkshire and the Humber: 1%
- West Midlands: 8%
- East of England: 5%
- London: 13%
- South East: 12%
- South West: 16%
- Wales: 41%
Who gets in
Based on about 240 students who started, across similar courses at this university
- A levels: 98%
- Other HE qualification: 1%
Modules
- Computing for Mathematics
- Foundations of Mathematics I
- Foundations of Mathematics II
- Linear and Differential Equations
- Probability and Statistics
- Foundations of Finance and Modern Financial Markets
- Linear Algebra and Multivariable Calculus
- Probability Theory and Stochastic Simulation
- Operational Research
- Modern Mathematical Computing
- Further Finance: Pricing and Risk Modelling
- Abstract Algebra
- Mechanics
- Entrepreneurship
- Behavioural Finance
- Market Microstructure, Trading Theory and Applications
- Introduction to Functional and Fourier Analysis
- Algebraic Topology
- Differential Geometry of Curves and Surfaces
- Introduction to Number Theory 2
- Algebra II: Rings
- Algebra III: Fields
- Measure Theory
- Complex Analysis and Functional Series
- Knot Theory
- Theori Clymau
- Methods of Applied Mathematics
- Fluid Dynamics
- Solid Mechanics
- Project Module (Full Year)
- Project Module (Half)
- Project Module (Half) Spring Semester
- Stochastic Processes for Finance and Insurance
- Statistical Modelling
- Time Series
- Algorithms and Heuristics
- Optimisation
- Game Theory
- Algorithmau a Dulliau Hewristig / Algorithms and Heuristics
- Mathematics of AI and Deep Learning
- Developing Mathematics Teachers for Future Generations
- Prosiect
- Modiwl Prosiect (Hanner) Semester yr Hydref
- Modiwl Prosiect (Hanner) Semester y Gwanwyn
Questions about this course
How much do graduates of BSc Financial Mathematics at Cardiff University earn?
The median salary is £31,000 after 15 months, £27,500 after 3 years, £36,500 after 5 years. After five years the middle half of graduates earn between £29,000 and £47,000. The £36,500 median after five years is £3,000 less than the UK median for Mathematics.
What do graduates of BSc Financial Mathematics at Cardiff University do next?
90% were in work or further study 15 months after finishing (Graduate Outcomes 2023-24).
Are students happy with the teaching on BSc Financial Mathematics at Cardiff University?
80% of final-year students were positive about the teaching in the National Student Survey 2025-26.
What grades do I need for BSc Financial Mathematics at Cardiff University?
The typical offer is AAB at A level. The average entrant had 139 UCAS points.
How many students continue on BSc Financial Mathematics at Cardiff University?
92% of students continued into their second year, and 4% left higher education.