BSc Mathematics and Statistics with Data Science with a Placement Year
Entry requirements
A level: ABC, including A level Mathematics, Further Mathematics or Pure Mathematics at grade A. If you are studying an Extended Project Qualification (EPQ) in addition to your A levels and achieve a B in the EPQ we will accept ACC at A level with an A in Mathematics, Further Mathematics or Pure Mathematics. IB: 30 points overall including 6 in Maths at higher level.
About this course
BSc in Mathematics and Mathematics and Statistics, combining mathematical theory with statistical and data science methods. Core topics include programming, mathematical modelling, machine learning, and research methods. This four-year programme includes an integrated year-long work placement between the second and final year. The degree is approved by the Institute of Mathematics and its Applications toward Chartered Mathematician designation.
Modules
- Real Analysis I
- Calculus
- Foundations of Mathematics
- Linear Algebra
- Mathematical Communication
- Probability and Statistics
- Differential Equations
- Linear Models and Data Analysis
- Probability and Statistical Theory
- Numerical Analysis I
- Mathematical Modelling and Professional Skills
- Algebra
- Programming in Python
- Real Analysis II
- Mathematical Methods and Physical Applications
- Preparing for Professional Placements Part 2
- Advanced Statistical Modelling
- Methods of Machine Learning
- Portfolio of Projects
- Applied Stochastic Processes
- Numerical Analysis II
- Number Theory and Cryptography
- Dynamical Systems and Applications
- Asymptotic Methods
- Groups and Galois Theory
- Topics in Pure and Applied Mathematics
- Mathematical Physics
- Image Analysis and Visual Intelligence
- Data Integration and Information Visualisation
- Virtual Reality, Games and Graphics
- Text Mining and Natural Language Processing