Course summary
Our MSc Advanced Computational Mathematics is an advanced course, offering the opportunity to develop understanding of computational mathematics and numerical analysis, enabling students to model complex real-world problems. The course combines theoretical foundations with practical computing skills, making students highly employable in finance, technology and scientific computing. You will have the opportunity to gain skills in: computation and algorithmic techniques machine learning development and implementation of numerical methods working in an interdisciplinary framework problem solving effective communication
Modules
Compulsory modules: Finite Element Methods for Boundary Value Problems & Approximation Numerical Methods & Deep Learning Alogrithms for Partial Differential Equation Mathematics of Machine Learning Research Project Optional modules: Modelling & Simulation with Applications to Financial Derivatives Applicable Analysis 3 Optimisation: Theory Big Data Fundamentals Big Data Tools & Techniques Legal, Ethical and Professional Issues for the Information Society Data Analytics in R Foundations of Statistics Mathematical Introduction to Networks Optimisation for Analytics Medical Statistics Quantitative Risk Analysis Bayesian Spatial Statistics Statistical Machine Learning Data Dashboards with RShiny Deep Learning
Assessment method
The form of assessment varies from class to class. For most classes the assessment involves both coursework and practical computer-based or written examinations. The assessment will ask you to demonstrate your computational and mathematical knowledge to model and analyse a suitable situation and to interpret the results in the context of the research question Projects will involve writing code, interpreting outputs, and producing a report, interactive visualisation or presentation outlining the findings from your analysis Group work may be undertaken in some classes There is also a graded research dissertation
Entry requirements
Minimum second-class (2:2) Honours degree or overseas equivalent* in mathematics, computer science or a closely related discipline. Prospective students with relevant experience or appropriate professional qualifications are also welcome to apply. *For Australia and Canada, normal degrees are accepted.
Fees and funding
Tuition fees
| England | £12550 | Year 1 |
| Northern Ireland | £12550 | Year 1 |
| Scotland | £12550 | Year 1 |
| Wales | £12550 | Year 1 |
| Channel Islands | £12550 | Year 1 |
| Republic of Ireland | £12550 | Year 1 |
| EU | £26900 | Year 1 |
| International | £26900 | Year 1 |
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Provider information
University of Strathclyde
McCance Building
16 Richmond Street
Glasgow
G1 1XQ