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BSc (Hons) Financial Mathematics

University of Greenwich — London, United Kingdom

BSc (Hons) Financial Mathematics is a undergraduate Mathematics & Statistics course at University of Greenwich, London, United Kingdom. It takes 3 years, costs £17,975 per year and starts in September.

Undergraduate · 3 years · Full-time · Mathematics & Statistics · £17,975 per year

Intakes: September

What you should know (from the course page): - The Financial Mathematics plays a vital role in the development of the modern financial service industry - The BSc Hons Financial Mathematics course will provide a strong background in mathematics and statistics, and introduce you to the role of analytics in the business world - Throughout the course, students develop knowledge of financial analytics which includes asset price modelling, the risk-neutral pricing of financial derivatives, actuarial mathematics, and financial time series - Overall, employers across many financial sectors place a high value on the knowledge and transferable skills acquired by the graduates of this course - No1 London university for student satisfaction, Complete University Guide 2026. School: Computing and Mathematical Sciences Location: Greenwich Campus Duration: 3 years full-time 6 years part-time 4 years sandwich Start: September International tuition fee 2026/27: full-time £17,975; part-time £4,494 per 30 credits. Careers (from the course page): Students from Mathematical Sciences have secured placement years at the Department for Work & Pensions, NHS England, NATS, Home Office, HMRC, Department of Health, GSK, Intel and Lloyds Banking Group. Career opportunities for this course are varied. Most industries are always on the lookout for graduates with intellectual, mathematical and numerical skills that can be applied to a wide range of practical situations. Source: University of Greenwich course page and 2026-27 course fees table.

Modules

• Our Mathematical World (Year 1, 30 credits)
• Calculus and Algebra (Year 1, 30 credits)
• Mathematical Thinking (Year 1, 30 credits)
• What are the Chances? (Year 1, 30 credits)
• Motion and Stability (Year 2, 30 credits)
• Data Science and Machine Learning (Year 2, 30 credits)
• Symmetry and Structure (Year 2, 30 credits)
• Decision Mathematics and Data Analytics (Year 2, 30 credits)
• Research Methods and Mathematics Project (Year 3, 30 credits, optional)
• UAS: Mathematics Education and Communication (Year 3, 30 credits, optional)
• Mathematics Work Placement (Year 3, 30 credits, optional)
• Actuarial Mathematics and Risk Modelling (Year 3, 15 credits, optional)
• Modelling and Analysis of Financial Instruments (Year 3, 15 credits, optional)
• Financial Time Series (Year 3, 15 credits, optional)
• Linear Models and Statistical Inference (Year 3, 15 credits, optional)
• Machine Learning (Year 3, 15 credits, optional)
• Optimisation Techniques (Year 3, 15 credits, optional)
• Mathematics for the Life Sciences (Year 3, 15 credits, optional)
• Graph Theory and Applications (Year 3, 15 credits, optional)
• Coding and Cryptography (Year 3, 15 credits, optional)
• Partial Differential Equations (Year 3, 15 credits, optional)
• Bayesian Methods and Their Applications (Year 3, 15 credits, optional)
• Advanced Optimisation Techniques (Year 3, 15 credits, optional)