MSci Mathematics and Statistics (Study Abroad)
Entry requirements
A level: A*AA. This should include Mathematics grade A or Further Mathematics grade A. The overall offer grades will be lowered to AAA for applicants who achieve both Mathematics and Further Mathematics at grades AA. IB: 38 points overall with 17 points from the best 3 HL subjects including 6 in Mathematics HL (either analysis and approaches or applications and interpretations)
About this course
MSci Hons in Mathematics and Statistics (Study Abroad), a mathematics and mathematics and statistics degree focusing on theoretical frameworks and quantitative analysis. Core topics include Programming, Signal Processing, Data Analysis, Statistics, Mathematical Modelling, Laboratory Techniques, Research Methods, Accounting, Critical & Analytical Thinking, Human Behaviour, Artificial Intelligence & Machine Learning. Students spend the third year studying abroad at an approved international partner university and complete an individual research project in the final year. The first year builds foundational knowledge through compulsory modules such as Matrices and Calculus, Probability and Statistics, Logic and Discrete Mathematics, and Symmetry and Sequences, alongside optional choices. The second year advances core competence via Multivariate Probability and Statistics, Applied Data Science, Project Skills, Linear Algebra, and Real Analysis, complemented by an optional module. Year four features core studies in Statistical Inference and Statistical Learning and Prediction, with optional paths covering Medical Statistics, Mathematical Finance, and Graph Theory and Algorithms. The final year incorporates Computing and Algorithms for Statistics and a Dissertation, accompanied by advanced options like Deep Learning and Stochastic Calculus for Finance.
Modules
- Matrices and Calculus
- Probability and Statistics
- Logic and Discrete Mathematics
- Symmetry and Sequences
- Mathematical Modelling and Programming
- Multivariate Calculus
- Computing Essentials: Programming
- Computing for Business Decision Making
- Managing Uncertainty in Business
- Principles of Macroeconomics
- Principles of Microeconomics
- The Physical Universe
- Fields, Matter and Quantum Physics
- Languages
- Foundations of Accounting and Finance
- Multivariate Probability and Statistics
- Applied Data Science
- Project Skills
- Linear Algebra
- Real Analysis
- Mathematics of Artificial Intelligence
- Abstract Algebra
- Complex Analysis
- Intermediate Accounting and Finance
- Study Abroad
- Statistical Inference
- Statistical Learning and Prediction
- Medical Statistics
- Changepoint and Time Series Analysis
- Environmental Statistics
- Mathematical Finance
- Mathematics of Generative Modelling
- Stochastic Processes
- Dynamic Modelling
- Graph Theory and Algorithms
- Mathematical Cryptography
- Mathematical Education
- Mathematical Education Placement
- Linear Systems
- Optimisation for Machine Learning
- Advanced Accounting and Finance
- Computing and Algorithms for Statistics
- Dissertation
- Advanced Statistical Modelling
- Clinical Trials
- Deep Learning
- Epidemiology and Disease Modelling
- Hidden-Process Models
- Machine Learning
- Predictive Modelling
- Probability Theory
- Stochastic Calculus for Finance
- Survival and Longitudinal Statistics