BSc Mathematics and Statistics programme
Section outline
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Semester A
Four compulsory modules:
- MTH4000 Programming in Python I
- MTH4213 Numbers, Sets and Functions
- MTH4300 Introduction to Analysis with Calculus
- MTH4500 Probability & Statistics
Semester B
Four compulsory modules:
- MTH4104 Introduction to Algebra
- MTH4215 Vectors and Matrices
- MTH4300 Introduction to Analysis with Calculus (continued)
- MTH4500 Probability & Statistics (continued)
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Semester A
Three compulsory modules:
- MTH5112 Linear Algebra I
- MTH5123 Differential Equations
- MTH5129 Probability and Statistics II
Choose one module from:
- MTH5104 Convergence and Continuity
- MTH5124 Actuarial Mathematics I
Semester B
Three compulsory modules:
- MTH5005 Programming in Python II
- MTH5120 Statistical Modelling I
- MTH5305 Professional Skills for Mathematicians
Choose one module from:
- MTH5103 Complex Variables
- MTH5115 Linear Optimisation and Game Theory
- MTH5126 Statistics for Insurance
Off-pathway modules
Modules outside this pathway (normally a maximum of 15 credits) may be taken with School approval. Permission to select off-pathway modules will not be granted until the timetable is finalised in September 2026.
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Year-long
- MTH6238 Research Methods and Mathematics Project
MTH6238 is optional, but highly recommended. If you choose MTH6238, then you must choose three more modules in each semester (including MTH6102 and MTH6134). If you do not choose MTH6238, then choose four modules in each semester (including MTH6102 and MTH6134).
Semester A
Two compulsory modules:
- MTH6102 Bayesian Statistical Methods
- MTH6134 Statistical Modelling II
Choose remaining module(s) from:
- MTH6101 Introduction to Machine Learning
- MTH6141 Random Processes
- MTH6154 Financial Mathematics I
Semester B
Choose modules from:
- MTH6110 Communicating and Teaching Mathematics (by approval in semester A)**
- MTH6113 Mathematical Tools for Asset Management
- MTH6139 Time Series
- MTH6150 Numerical Computing with C and C++
- MTH6155 Financial Mathematics II
- MTH6161 Neural Networks and Deep Learning‡
** Participation in MTH6110 is subject to a selection process which takes place during semester A. If you are not selected to take part in MTH6110, you will need to change your module choice at the start of semester B.
Off-pathway modules
Modules outside this pathway (normally a maximum of 15 credits) may be taken with School approval. Permission to select off-pathway modules will not be granted until the timetable is finalised in September 2026. Off-pathway Level 4 or 5 modules will not be permitted.
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