Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: 1 year full time
Computational Mathematics, in particular the physical applied areas and the theory and implementation of numerical methods and algorithms, have wide-ranging applications in both the public and private sectors.
More recently, in this era of ubiquitous and cheap computing power, there has been an explosion in the number of problems that require us to understand processes by modelling them, and to use data sets that are large. The subject of Computational Mathematics has become increasingly prominent.
There is high demand also for computational modellers and data scientists. This programme concentrates on the overlap and synergy between these fields.
The School of Mathematics has connections with a wide number of industrial partners, organisations, charities and government departments. As an MSc student in the School you will have opportunities to engage with these external organisations through regular employability events, careers workshops, and our annual analytics challenge (whose recent partners have included Edinburgh Airport and the Data and Marketing Association). There is also the opportunity to undertake a dissertation project with an external partner.
A UK 2:1 degree, or its international equivalent, in a numerate discipline such as mathematics, engineering, computer or physical sciences.
Previous study of applied mathematics, probability and differential equations at university level will be required.
Applicants should have studied a university level course with a substantial programming element, or have an equivalent level of programming experience.
You can increase your chances of a successful application by exceeding the minimum programme requirements.
Please see our website
This programme will provide training in the tools and techniques of mathematical modelling and scientific computing. It will also provide students with skills for problem solving using modern techniques of applied mathematics.
Key graduate employment sectors include:
In addition to entering employment, many of our graduates progress on to study a PhD in a variety of topics including:
Students have gone on to study their PhDs at a variety of highly-ranked universities such as ETH Zurich, Edinburgh, Bristol and St Andrews.
Compulsory courses have previously included:
Optional courses have previously included:
*delivered by the School of Informatics
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