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
- MTH5130 Number Theory
- MTH5124 Actuarial Mathematics I
Semester B
Two compulsory modules:
- MTH5005 Programming in Python II
- MTH5120 Statistical Modelling I
Choose two modules from:
- MTH5103 Complex Variables
- MTH5105 Differential and Integral Analysis
- MTH5114 Linear Programming and Games
- MTH5126 Statistics for Insurance
Year-long
One compulsory module:
- MTH5205 Professional Skills for Mathematicians (0 credits)
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 2024.
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From 2026/27, you will not be able to take MTH5124 Actuarial Mathematics I in year 3. If you are in year 2 in 2025/26 and wish to take take MTH5124, you must take it in year 2.)
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
Two compulsory modules:
- MTH5005 Programming in Python II
- MTH5120 Statistical Modelling I
Choose two modules from:
- MTH5103 Complex Variables
- MTH5105 Differential and Integral Analysis*
- MTH5115 Linear Optimisation and Game Theory (previously called MTH5114 Linear Programming and Games)
- MTH5126 Statistics for Insurance
* Before taking MTH5105 you must have taken MTH5104.
Year-long
One compulsory module:
- MTH5205 Professional Skills for Mathematicians (0 credits)
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 2025.
-
Semester A
Two compulsory modules:
- MTH6102 Bayesian Statistical Methods
- MTH6134 Statistical Modelling II
Choose two modules from:
- MTH5124 Actuarial Mathematics I
- MTH6138 Third Year Project*
- MTH6141 Random Processes
- MTH6151 Partial Differential Equations
- MTH6154 Financial Mathematics I
Semester B
Choose four modules from:
- MTH6101 Introduction to Machine Learning
- MTH6110 Communicating and Teaching Mathematics (by approval in semester A)**
- MTH6113 Mathematical Tools for Asset Management
- MTH6138 Third Year Project*
- MTH6139 Time Series
- MTH6142 Complex Networks
- MTH6150 Numerical Computing with C and C++
- MTH6155 Financial Mathematics II
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 2024. Off-pathway Level 4 or 5 modules will not be permitted.
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Semester A
Two compulsory modules:
- MTH6102 Bayesian Statistical Methods
- MTH6134 Statistical Modelling II
Choose two modules from:
- MTH5124 Actuarial Mathematics I†
- MTH6101 Introduction to Machine Learning†
- MTH6138 Third Year Project
- MTH6141 Random Processes
- MTH6151 Partial Differential Equations
- MTH6154 Financial Mathematics I
Semester B
Choose four modules from:
- MTH6101 Introduction to Machine Learning‡
- MTH6110 Communicating and Teaching Mathematics (by approval in semester A)**
- MTH6113 Mathematical Tools for Asset Management
- MTH6138 Third Year Project
- MTH6139 Time Series
- MTH6142 Complex Networks
- 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.
(‡ You cannot take both MTH6101 and MTH6161 in 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 2025. Off-pathway Level 4 or 5 modules will not be permitted.
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