Structure
You can complete your Mathematics degree in three, four or five years. If you choose to do a professional placement or study abroad, this will take place in Year 3, and Year 3 modules will instead be studied in Year 4.
YEAR 0
Foundation
Semester 1
- Compulsory
- Essential Foundation Mathematics
- Communication in Science & Technology
- Mathematics B (double module across Semester 1 and 2)
- Choose one from
- Physics - Mechanics and Materials
- Computing
Semester 2
Compulsory
- Physics- Fields and Waves
- Discrete Mathematics
- Mathematics B (double module across Semester 1 and 2)
- Choose one from
- Introduction to Engineering (must have taken Physics in Semester 1)
- Digital Electronics and Computer Systems
Please note that all modules are subject to change.
YEAR 1
- Calculus I
- Calculus II
- Computing and Data Analysis with Excel
- Introduction to Algebra
- Introduction to Probability
- Numbers, Sets and Functions
- Probability and Statistics I
- Vectors and Matrices
Please note that all modules are subject to change.
YEAR 2
Compulsory
- Differential Equations
- Introduction to Computer Programming
- Linear Algebra I
Elective
- Actuarial Mathematics I
- Complex Variables
- Convergence and Continuity
- Differential and Integral Analysis
- Introduction to Differential Geometry
- Linear Programming and Games
- Number Theory
- Probability and Statistics II
- Statistical Modelling I
Please note that all modules are subject to change.
YEAR 3
Students must choose one of three pathways: General, Pure, and Stats and Financial, and then choose 60 credits from each semester from modules listed for that pathway. Modules outside these pathways may only be taken with School approval via a waiver as these can’t be guaranteed to be ‘non-clashing non-timetables. At most 30 credits in any year may be from outside the pathway. Please remember that you must pass at least six level 6 modules in year 3.
General pathway
Elective
- Algorithmic Graph Theory
- Communicating and Teaching Mathematics
- Complex Networks
- Cryptography
- Financial Mathematics I
- Financial Mathematics II
- Introduction to Machine Learning
- Linear Algebra II
- Numerical Computing with C and C++
- Partial Differential Equations
- Random Processes
- Third Year Project
Pure pathway
Elective
- Algorithmic Graph Theory
- Chaos and Fractals
- Coding Theory
- Communicating and Teaching Mathematics
- Complex Networks
- Cryptography
- Group Theory
- Linear Algebra II
- Metric Spaces and Topology
- Numerical Computing with C and C++
- Partial Differential Equations
- Relativity
- Third Year Project
Statistics and Financial Pathway
Elective
- Bayesian Statistical Methods
- Communicating and Teaching Mathematics
- Complex Networks
- Financial Mathematics I
- Financial Mathematics II
- Introduction to Machine Learning
- Mathematical Tools for Asset Management
- Numerical Computing with C and C++
- Partial Differential Equations
- Random Processes
- Statistical Modelling II
- Third Year Project
- Time Series
Please note that all modules are subject to change.
YEAR 4
MSci students only
Compulsory
- MSci project
- Research Methods in Mathematical Sciences
- Choose 75 credits from undergraduate Maths or Physics modules at level 7 (modules with the codes MTH7*U or SPA7*U).
Please note that all modules are subject to change.