Mathematics MSc Programmes

Overview

Overview of the Computational Applied Mathematics MSc programme.

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. Thus the subject of Computational Mathematics has become increasingly prominent. Consequently there is high demand also for computational modellers and data scientists. This programme concentrates on the overlap and synergy between these fields.

Studying for a Computational Applied Mathematics MSc will enhance

  • communication, interpersonal, mathematical, and computing skills 
  • skills suitable for careers in a wide range of public and private institutions
  • your understanding of related disciplines, such as data science, operational research, and optimization.

You will enjoy Computational Applied Mathematics if you like solving applied and interdisciplinary problems, analysing the results, and seeing the solutions implemented.

Financial Aid

The MSc Programme has funding from the School of Mathematics to encourage the best UK and EU students to study Computational Applied Mathematics. Note that there is no need to apply separately for this funding, despite the following statement in the application form: "This does not constitute an application for funding from the University of Edinburgh".

  Why study in Edinburgh?

  • The University of Edinburgh is a world class university, with highly prized degrees.
  • The Computational Applied Mathematics MSc is taught by award-winning subject experts from the School of Mathematics and from other Schools in the University.
  • The City is the capital of Scotland, a United Nations World Heritage Site, and hosts the world's biggest arts festival.