BSc Mathematics and Statistics
Entry requirements
A level: from A*A*A* to A*AB in one set of exams (required: Mathematics at A*) IB: from 38 points with 766 at HL to 34 points with 765 at HL
About this course
BSc (Hons) in Mathematics and Statistics, a mathematics and mathematics and statistics degree focused on mathematical and statistical theory and application. Core topics include Data Analysis, Statistics, Mathematical Modelling, and Research Methods. Students can study up to four years, and external subjects from other disciplines are included in the initial two years before focusing entirely on mathematics and statistics from the third year onwards. The first year covers core foundations through Introduction to Mathematics at University, Introduction to Mathematical Analysis, Linear Algebra 1, and Introduction to Data Science. The second year progresses with Linear Algebra 2, Elementary Probability and Statistics, Further Analysis and Several Variable Calculus, and Modelling and Computing. In the third year, students encounter advanced topics such as Topology, Algebra, Analysis, and Operational Research. The final year involves a research project alongside specialised options including Generalised Regression Models, The Analysis of Survival Data, and Bayesian Data Analysis.
Modules
- Introduction to Mathematics at University
- Introduction to Mathematical Analysis
- Linear Algebra 1
- Introduction to Data Science - where you will learn to collect and explore data, before using models and predictions to make rigorous conclusions
- Fundamentals of Algebra and Calculus - an online, introductory course that provides extra preparation in key topics from advanced high school level mathematics and further supports your transition to university
- Linear Algebra 2
- Elementary Probability and Statistics
- Further Analysis and Several Variable Calculus
- Modelling and Computing
- Topology
- Algebra
- Analysis
- Operational Research
- Differential Equations
- Numerical Analysis
- Probability and Measure Theory
- Statistical Methodology
- Statistical Computing
- Financial Mathematics
- Stochastic Modelling
- Introduction to Number Theory
- a research project
- statistical case studies course
- mathematical education course
- pure mathematics
- applied mathematics
- statistics
- operational research
- financial mathematics
- mathematical physics
- mathematical education
- Generalised Regression Models
- The Analysis of Survival Data
- Bayesian Data Analysis