12 months
26300 GBP/year
12000 GBP/year
Tuition fee
Apply date
Start date


Computational Applied Mathematics degree from The University of Edinburgh, 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. 

Visit the official programme website for more information


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.

Programme Structure

Courses include:

  • Applied Dynamical Systems
  • Numerical Linear Algebra
  • Python Programming
  • Numerical Partial Differential Equations
  • Research Skills for Computational Applied Mathematics

Key information


  • Full-time
    • 12 months

Start dates & application deadlines

More details



180 alternative credits


On Campus

Academic requirements

GPA admission requirements GPA
Upper Second Class

Other requirements

General requirements

  • 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.

Tuition Fee

To alway see correct tuition fees
  • International

    26300 GBP/year
    Tuition Fee
    Based on the tuition of 26300 GBP for the full programme during 12 months.
  • National

    12000 GBP/year
    Tuition Fee
    Based on the tuition of 12000 GBP for the full programme during 12 months.

Living costs for Edinburgh

725 - 1167 GBP /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.



Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Computational Applied Mathematics
The University of Edinburgh


Go to your profile page to get personalised recommendations!