BSc Mathematics with Foundation Year
Entry requirements
A level: BCC or points equivalent from your best three A-levels
About this course
BSc in Mathematics. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, and Artificial Intelligence & Machine Learning. The course includes a foundation year (year 0) for students who narrowly missed direct entry, with automatic progression to year 1 of a BSc Mathematics programme upon completion.
Modules
- Mathematical Methods
- Mechanics
- Introductory Data Analysis
- Introduction to Programming
- Academic Support
- Scientific Computing
- Financial Engineering
- Operational Research
- Differential Geometry
- Groups and Symmetry
- Mathematical Modelling
- Topology
- Equations of Mathematical Physics
- Business Microeconomics
- Topics in Mathematical Biology
- Generalised Linear Models
- Number Theory
- Communicating Mathematics
- Data Mining and Neural Networks
- Fields and Classical Geometry
- Introduction to Functional Data Analysis
- Business Macroeconomics
- Calculus and Analysis 1
- Linear Algebra 1
- Fundamentals of University Mathematics
- Calculus and Analysis 2
- Linear Algebra 2
- Probability and Statistics
- Elements of Number Theory
- Business Microeconomics
- Programming Fundamentals
- Sets, Relations and Groups
- Business Macroeconomics
- Algorithms, Data Structures and Advanced Programming
- Business and Financial Computing
- Vector Calculus
- Advanced Linear Algebra
- Introduction to Computing
- Differential Equations
- Algebra
- Investigations in Mathematics
- Actuarial Modelling 1
- Statistical Distributions and Inference
- Markov Processes
- Advanced Discrete Mathematics
- Mathematical Foundations of AI and Machine Learning
- Statistical Data Analysis
- Industrial Applications of Mathematics
- Actuarial Modelling 2