BSc Mathematics with Finance (Study Abroad)
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 (Study Abroad), a mathematics and accounting and finance degree centred on mathematical and computational approaches to financial theory. Core topics include Programming, Signal Processing, Data Analysis, Statistics, Mathematical Modelling, Accounting, Human Behaviour, Artificial Intelligence & Machine Learning. Students spend the third year studying abroad at an approved international partner university. In the first year, students cover foundational concepts through compulsory modules including 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 builds further competence via compulsory modules such as Econometrics for Finance, Intermediate Accounting and Finance, Linear Algebra, and Multivariate Probability and Statistics, alongside optional modules including Applied Data Science, Mathematics of Artificial Intelligence, and Real-world Dynamics. The final year comprises core study in Advanced Accounting and Finance and Stochastic Processes. Students can further tailor their studies in the second and final years by selecting from a range of optional modules covering areas such as 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
- Study Abroad
- 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