BSc Mathematics with Finance
Entry requirements
A level: AAA. This should include Mathematics grade A or Further Mathematics grade A. The overall offer grades will be lowered to AAB for applicants who achieve both Mathematics and Further Mathematics at grades AB, in either order. IB: 36 points overall with 16 points from the best 3 HL subjects including 6 in Mathematics HL (either analysis and approaches or applications and interpretations)
About this course
BSc Hons in Mathematics with Finance, a mathematics degree centred on mathematics and accounting and finance. Core topics include Programming, Signal Processing, Data Analysis, Statistics, Mathematical Modelling, Accounting, Human Behaviour, Artificial Intelligence & Machine Learning. Over the three years, students draw on expertise from the School of Mathematical Sciences, Accounting and Finance, and Economics. The first year covers core foundations through Foundations of Accounting and Finance, Logic and Discrete Mathematics, Mathematical Modelling and Programming, Matrices and Calculus, Multivariate Calculus, and Probability and Statistics. The second year progresses with Econometrics for Finance, Intermediate Accounting and Finance, Linear Algebra, and Multivariate Probability and Statistics, alongside optional choices such as Applied Data Science, Mathematics of Artificial Intelligence, and Real-world Dynamics. The third year involves advanced compulsory study in Advanced Accounting and Finance and Stochastic Processes. Students can further tailor their studies through optional modules covering Banking and Behavioural Finance, Changepoint and Time Series Analysis, Dynamic Modelling, Environmental Statistics, ESG, Climate and Energy Finance, Graph Theory and Algorithms, Linear Systems, Mathematical Finance, Mathematics of Generative Modelling, Optimisation for Machine Learning, Statistical Inference, and Statistical Learning and Prediction.
Modules
- Foundations of Accounting and Finance
- Logic and Discrete Mathematics
- Mathematical Modelling and Programming
- Matrices and Calculus
- Multivariate Calculus
- Probability and Statistics
- Econometrics for Finance
- Intermediate Accounting and Finance
- Linear Algebra
- Multivariate Probability and Statistics
- Applied Data Science
- Mathematics of Artificial Intelligence
- Real-world Dynamics
- Advanced Accounting and Finance
- Stochastic Processes
- Banking and Behavioural Finance
- Changepoint and Time Series Analysis
- Dynamic Modelling
- Environmental Statistics
- ESG, Climate and Energy Finance
- Graph Theory and Algorithms
- Linear Systems
- Mathematical Finance
- Mathematics of Generative Modelling
- Optimisation for Machine Learning
- Statistical Inference
- Statistical Learning and Prediction