A 2:2 (or international equivalent) in mathematics or a closely related subject with substantial mathematical content; some experience with computer programming would be useful.
Months of entry
Scientific computation is an increasingly important discipline which lies at the interface between mathematics, science and engineering. Whether you are interested in fundamental scientific research or a technical career in industry, expertise in scientific computation is an invaluable asset.
The mathematical and computational skills required, not only lead to active research fields in their own right, but also provide pathways to a diverse range of potential applications, covering the whole breadth of science and engineering: examples include weather prediction, modelling flow and combustion in a jet engine, and developing optimal treatment strategies for cancer.
What you'll learn
MSc Scientific Computation is designed to reflect the breadth of the subject area and our expertise here at the University of Nottingham.
All students take the core modules. These provide both the theoretical foundations which underpin the design and mathematical analysis of numerical algorithms and the practical skills required to implement them as efficient and robust computer programs.
The optional modules have been selected to broaden your knowledge of scientific computation and of the mathematical models to which it can be applied.
Three streams are suggested in the list of optional modules:
- Computational Science focuses on the formulation and analysis of fundamental algorithms from the perspectives of both mathematics and computer science.
- Mathematical Medicine and Biology augments the core material with the development and analysis of models in biomedical mathematics.
- Industrial Mathematics/Continuum Mechanics draws on the expertise of the Industrial and Applied Mathematics research group in modelling and analysing problems in fluid and solid mechanics.
Qualification, course duration and attendance options
- full time12 months
- Campus-based learningis available for this qualification
Course contact details
- Postgraduate Enquiries
- +44 (0)115 951 5559