BSc Mathematics with Statistics
Course Overview
This BSc Mathematics with Statistics degree equips you with the advanced mathematical foundation and specialized statistical skills needed to excel as a data-driven professional. You will master both theoretical concepts and practical applications, learning to model random events and analyze complex real-world data using industry-standard tools. Graduates are prepared for highly sought-after careers in sectors ranging from healthcare and finance to government and technology.
Key Program Highlights
- Learn from leading researchers with expertise in healthcare modelling, survey methods, and experimental design
- Master in-demand computational techniques and software, including Python and the statistical package 'R'
- Develop the ability to interpret, analyze, and effectively communicate complex statistical results
- Apply statistical theory to solve practical problems using real-world datasets
- Join a prestigious programme ranked 7th in the UK for Statistics and Operational Research (QS Rankings 2021)
Course Overview
This BSc Mathematics with Statistics degree equips you with the advanced mathematical foundation and specialized statistical skills needed to excel as a data-driven professional. You will master both theoretical concepts and practical applications, learning to model random events and analyze complex real-world data using industry-standard tools. Graduates are prepared for highly sought-after careers in sectors ranging from healthcare and finance to government and technology.
Key Program Highlights
- Learn from leading researchers with expertise in healthcare modelling, survey methods, and experimental design
- Master in-demand computational techniques and software, including Python and the statistical package 'R'
- Develop the ability to interpret, analyze, and effectively communicate complex statistical results
- Apply statistical theory to solve practical problems using real-world datasets
- Join a prestigious programme ranked 7th in the UK for Statistics and Operational Research (QS Rankings 2021)
Requirements
Modules
- Calculus I
- Calculus II
- Computational Mathematics
- Core Skills for Mathematicians I
- Dynamics and Relativity
- First Year Mathematics Workshop
- Introduction to Statistics
- Linear Algebra I
- Linear Algebra II
- Number Theory
- Analysis
- Core Skills for Mathematics II
- Partial Differential Equations
- Statistical Inference
- Statistical Modelling I
- Algorithms
- Fields and Fluids
- Financial Mathematics
- Fundamentals of Data Science in R
- Geometry and Topology
- Graph Theory
- Group Theory
- Introduction to Operational Research
- Numerical Analysis
- Stochastic Processes
- Vector and Integral Calculus
- Computational Statistical Inference
- Design and Analysis of Experiments
- Machine Learning
- Mathematics Project
- Statistical Modelling II
- Actuarial Mathematics I
- Actuarial Mathematics II
- Advanced Fluid Dynamics
- Advanced Partial Differential Equations
- Algebraic Topology
- Complex Analysis
- Complex and Integral Transform Methods
- Further Number Theory
- Galois Theory
- Geometry and Data
- Hilbert Spaces
- Infinite Groups
- Learning and Teaching Mathematics
- Mathematical Biology
- Mathematical Finance
- Mathematical Programming
- Numerical Partial Differential Equations
- Optimization
- Project Management
- Relativity, Black Holes and Cosmology
- Statistical Methods in Insurance
- Structure and Dynamics of Networks
- Survival Models
