Computational Applied Mathematics

Overview

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.

Links with Industry

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.

Recent partners for industry-based dissertations in the Computational Applied Mathematics MSc include:

• UK Space Launch Services
• Bays Consulting
• Viapontica AI

Career opportunities

This Computational Applied Mathematics degree from The University of Edinburgh  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:

• software engineering
• data science
• banking and finance

In addition to entering employment, many of our graduates progress on to study a PhD in a variety of topics including:

• applied and computational mathematics
• computational biology
• biomedical engineering
• physics

Students have gone on to study their PhDs at a variety of highly-ranked universities such as ETH Zurich, Edinburgh, Bristol and St Andrews.