Entry Requirements
Check the entry requirements.
The School of Mathematical Sciences is a broad-based school with world-class research in Applied Mathematics, Operational Research, Pure Mathematics, Statistics and Theoretical Physics. The modules on offer in our Study Abroad pathways reflect this breadth and excellence and allow each student to create a programme of study tailored to their mathematical interests and strengths. The programmes provide students with both mathematical knowledge and skills in analytical and structured thinking and in problem solving.
Each module will typically consist of three lectures per week with another weekly class focusing on problem solving. Assessments are a mixture of end-of-semester examinations, mid-term tests, projects and assignments.
| Duration: | One semester or one full academic year |
|---|---|
| Specific entry requirements for Mathematics: | Good background knowledge of calculus (single variable and multivariable) and linear algebra. |
| Specific entry requirements for Mathematics, Statistics and Operational Research (MSOR): | Good background knowledge of calculus (single variable and multivariable) and linear algebra, basic knowledge of probability and statistics. |
The Mathematics pathway allows a student to study across the complete breadth of Mathematical Sciences modules offered at the University of Southampton. You will develop your skills in analytical, abstract, and structured thinking in a programme that covers the full range of mathematics from geometry and topology to simulation and queues, and from design of statistical experiments to relativity, black holes and cosmology. There are over 40 modules on offer, with the programme continually adapting in line with the latest developments in research and in how mathematics is used in business and industry.
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Modules:
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There are over 40 Mathematics modules available, across the whole breadth of Mathematical Sciences undergraduate modules. For a full list, check the modules listed on the Undergraduate Mathematics Course webpage. |
Some modules may be subject to change or availability.
Linked Master’s programmes
None
♦ Master’s Progression Pathway
This is a more structured programme focussing on Statistics and Operational Research (OR), enabling you to develop the analytical and quantitative skills required by businesses and organisations, spanning public and private corporations both large and small. There is a strong focus on modelling and optimisation, often in real world examples where variability and uncertainty has a key role to play.
| Modules: | |||
|---|---|---|---|
| Semester One | Semester Two | ||
| Optional: | Optional: | ||
| MATH2003 | Group Theory | MATH2010 | Statistical Modelling I |
| MATH2011 | Statistical Distribution Theory | MATH2012 | Stochastic Processes |
| MATH2013 | Introduction to Operational Research | MATH2014 | Algorithms |
| MATH2039 | Analysis | MATH2038 | Partial Differential Equations |
| MATH2040 | Financial Mathematics | MATH2044 | Fields and Fluids |
| MATH3016 | Optimization | MATH2049 | Geometry and Topology |
| MATH3033 | Graph Theory | MATH3017 | Mathematical Programming |
| MATH3044 | Statistical Inference | MATH3052 | Mathematical Biology |
| MATH3085 | Survival Models | MATH3084 | Integral Transforms |
| MATH3090 | Structure and Dynamics of Networks | MATH3088 | Complex Analysis |
Some modules may be subject to change or availability.
Linked Master’s Programmes
MSc Data and Decision Analytics
MSc Operational Research and Finance
MSc Operational Research and Statistics
MSc Statistics with applications in Medicine*
*Applicants must study Statistical Modelling I and Statistical Inference in the Study Abroad programme to progress to these Masters
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