BSc Financial Mathematics
About this course
BSc in Financial Mathematics, a degree spanning the disciplines of mathematics and accounting and finance. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, Financial Analysis, Accounting, Artificial Intelligence & Machine Learning. Students complete a final-year project incorporating extended work and professional skills development. The first year covers fundamental mathematical methods and economic concepts through modules such as Introduction to University Mathematics, Geometry, Matrices and Multivariate Calculus, Probability and Data Science, and Computing and Analysis. The second year progresses to advanced mathematical techniques and economic theory, featuring compulsory modules like Core Mathematics I, Core Mathematics II, Statistical Inference and Modelling, and Stochastic Modelling. The final year involves specialized study in quantitative finance and advanced economics, with compulsory modules including Mathematical and Physical Sciences Projects and Professional Skills, Medical and Actuarial Statistics, Stochastic Processes and Finance, Advanced Microeconomics, Further Econometrics, Advanced Macroeconomics, and Modern Finance. Optional modules in the final year allow further study in areas such as corporate finance, financial derivatives, and machine learning.
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.
Entry requirements
A Level: AAA IB: 36, with 6 in Higher Level Maths; 34, with 6 in Higher Level Maths, and A in the Extended Essay
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Admissions (2022 entry, home applicants)
Offer rate 81%: 59 offers from 73 applications, from the university's Freedom of Information return.
What students say
Based on about 9 final-year students who answered (a small group: a rough guide only)
- Teaching on my course: 92%
- Learning opportunities: 92%
- Assessment and feedback: 89%
- Academic support: 92%
- Organisation and management: 88%
- Learning resources: 97%
- Student voice: 90%
Do students stay on the course?
Based on about 15 students who started (a small group: a rough guide only)
- Continued on course: 100%
What graduates do next
Based on about 7 graduates who answered (a small group: a rough guide only)
- Working: 70%
- Working and studying: 20%
Most common jobs
- Teaching Professionals: 20%
- Finance Professionals: 15%
- Information Technology Professionals: 15%
- Business and public service associate professionals: 15%
- Leisure, travel and related personal service occupations: 10%
- Find their work meaningful: 60%
- Feel on track for their future plans: 70%
- Use what they learnt on the course: 60%
Where graduates work (5 years on)
Based on about 325 graduates, across similar courses at this university
- North East: 2%
- North West: 19%
- Yorkshire and the Humber: 17%
- East Midlands: 7%
- West Midlands: 9%
- East of England: 12%
- London: 24%
- South East: 6%
- South West: 3%
- Wales: 1%
Who gets in
Based on about 10 students who started (a small group: a rough guide only)
- A levels: 100%
Accreditation & quality ratings
TEF 2023 (whole university): Silver overall, Silver for student experience, Silver for student outcomes.
Modules
- Introduction to University Mathematics
- Geometry, Matrices and Multivariate Calculus
- Probability and Data Science
- Computing and Analysis
- Microeconomic Analysis and Policy
- Macroeconomic Analysis and Policy
- Foundations in Financial Management
- Introduction to Management Accounting
- Core Mathematics I
- Core Mathematics II
- Statistical Inference and Modelling
- Stochastic Modelling
- Econometrics
- Intermediate Microeconomics
- Intermediate Macroeconomics
- Financial Management
- Corporate Finance: Strategy, Digitalisation and Impact
- Mathematical and Physical Sciences Projects and Professional Skills
- Medical and Actuarial Statistics
- Stochastic Processes and Finance
- Advanced Microeconomics
- Further Econometrics
- Advanced Macroeconomics
- Modern Finance
- Advances in Corporate Finance
- Financial Derivatives
- Bayesian and Computational Inference
- Time Series and Generalised Linear Models
- Game Theory and Optimisation
- Machine Learning
Questions about this course
How much do graduates of BSc Financial Mathematics at University of Sheffield earn?
The median salary is £28,000 after 15 months, £30,500 after 3 years, £41,000 after 5 years. After five years the middle half of graduates earn between £32,000 and £55,000. The £41,000 median after five years is £1,500 more than the UK median for Mathematics.
What do graduates of BSc Financial Mathematics at University of Sheffield 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 University of Sheffield?
92% 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 University of Sheffield?
The typical offer is AAA at A level. The average entrant had 148 UCAS points.
What is the offer rate for BSc Financial Mathematics at University of Sheffield?
81% of home applicants received an offer for 2022 entry: 59 offers from 73 applications, according to the university's Freedom of Information return.
Does BSc Financial Mathematics at University of Sheffield include a placement year or year abroad?
The course has an optional placement year and an optional year abroad.
How many students continue on BSc Financial Mathematics at University of Sheffield?
100% of students continued into their second year, and 0% left higher education.