BSc Mathematics and Statistics
Entry requirements
A level: AAA including A in Mathematics AAB including A in Mathematics and A in Further Mathematics AAB including A in Mathematics and A in Further Mathematics at AS level IB: 36 points overall, including 6 in Mathematics at Higher Level (either Analysis and Approaches or Applications and Interpretations) BTEC: DDD plus grade A in A level Mathematics (or equivalent qualification) We consider a range of BTEC qualifications equivalent to 3 A Levels, or in combination with A Levels or other qualifications. For example: Distinction, Distinction in BTEC Level 3 National Diploma plus A in A Level Mathematics Distinction in BTEC Level 3 National Extended Certificate plus AA at A level including Mathematics Distinction, Distinction in 2 BTEC Level 3 National Extended Certificates plus A in A Level Mathematics
About this course
BSc (Hons) Mathematics and Statistics, a mathematics and mathematics and statistics degree exploring mathematical theory and statistical methods. Core topics include Programming, Data Analysis, Statistics, and Mathematical Modelling. This course is accredited by the Institute of Mathematics and its Applications. The first year covers foundational concepts through Foundations and Calculus, Introduction to Probability and Statistics, Introduction to Pure Mathematics, and Mathematical Programming and Skills. The second year introduces core topics in probability and inference via Probability and Markov Chains, Statistical Inference and Linear Models, Vector and Complex Calculus, and Linear Algebra, alongside optional modules such as Metric Spaces and Classical Dynamics. The third year centres on an Extended Independent Project, complemented by optional modules covering diverse areas like Statistical Data Science, Cryptography, and Mathematical Finance in Discrete Time.
Modules
- Foundations and Calculus
- Introduction to Probability and Statistics
- Introduction to Pure Mathematics
- Multivariable Calculus and Matrices
- Introduction to Applied Mathematics
- Mathematical Programming and Skills
- Probability and Markov Chains
- Statistical Inference and Linear Models
- Vector and Complex Calculus
- Linear Algebra
- Metric Spaces
- Groups, Rings and Fields
- Classical Dynamics
- Quantum and Continuum Dynamics
- Extended Independent Project
- Survival Analysis and Generalised Linear Models
- Decision Theory and Bayesian Statistics
- Mathematical Finance in Discrete Time
- Mathematical Finance in Continuous Time
- Advanced Regression and Multivariate Analysis
- Time Series
- Statistical Data Science
- Communicating Mathematics in Education
- Cryptography
- Operations Research
- Numerical Analysis
- Mathematical modelling: nonlinearity, uncertainty, & computational methods
- Partial Differential Equations
- Quantum Theory & Quantum Information
- Relativity
- Fluids
- Mathematical Ecology, Epidemiology & Evolution
- Quantum Mechanics
- Groups, Actions & Galois Theory
- Differential Geometry
- Lie Theory
- Number Theory
- Topology
- Semigroup Theory
- Measure & Integration
- Prime Numbers & their Distribution
- Riemann Surfaces & Algebraic Curves