Ph.D. On Campus

Mathematical Modelling, Analysis and Computation

The University of Edinburgh

48 months
21150 GBP/year
4500 GBP/year
Tuition fee
Apply date
Start date


On this integrated degree in Mathematical Modelling, Analysis and Computation from The University of Edinburgh you will join the broader Maxwell Institute Graduate School in its Bayes Centre home.


In the Mathematical Modelling, Analysis and Computation from The University of Edinburgh, you will benefit from:

  • dedicated academic training in subjects that include mathematical analysis, computational mathematics, multi-scale modelling, model reduction, Bayesian inference, uncertainty quantification, inverse problems and data assimilation, and machine learning
  • extensive experience of collaborative and interdisciplinary work through projects, modelling camps, industrial sandpits and internships
  • outstanding early-career training, with a strong focus on entrepreneurship
  • a dynamic and forward-looking community of mathematicians and scientists, sharing strong values of collaboration, respect, and social and scientific responsibility

You will integrate into a vibrant research environment, closely interacting with many academics, comprising mathematicians from the University of Edinburgh and Heriot-Watt University. You will also engage with computer scientists, biologists, engineers, physicists and chemists providing their own disciplinary expertise. The programme is also complemented by many industrial and government partners.

Career opportunities

Companies in a vast range of areas, as well as government agencies, are very keen to develop modelling-based approaches and to incorporate data science into their existing models.

Universities are also extremely keen to hire staff who can teach and conduct high quality research programmes in mathematical modelling, analysis and computation.

Programme Structure

Year 1

  • You will take specific core courses (30 credits), group project modules, and additional instruction either from Scottish Mathematical Sciences Training Centre (video+ on-site tutorials) or else from selected approved (level 11+) modules from the two Universities. The remainder of your studies is supervised research work.

Years 2-4

  • You will receive additional coursework and training (30 credits per year) with the remaining work being supervised research.

Week-long Industrial Sandpit

  • During each year, you will take part in a week-long Industrial Sandpit in conjunction with MAC-MIGS industrial partners to give an insight into how mathematics is used.

Key information


  • Full-time
    • 48 months

Start dates & application deadlines

More details

We review applications on a rolling basis. Applications may be submitted at any time, but are mainly considered in the period 1 December to 15 March.


480 alternative credits


On Campus

Academic requirements

GPA admission requirements GPA
Upper Second Class

Other requirements

General requirements

  • A UK first class honours degree, or its international equivalent, in an appropriate subject; or a UK 2:1 honours degree plus a UK masters degree, or their international equivalents; or relevant qualifications and experience.

Tuition Fee

To alway see correct tuition fees
  • International

    21150 GBP/year
    Tuition Fee
    Based on the tuition of 21150 GBP per year during 48 months.
  • National

    4500 GBP/year
    Tuition Fee
    Based on the tuition of 4500 GBP per year during 48 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.

Fresh content

Updated in the last 6 months

Check the official programme website for potential updates.

Our partners

Mathematical Modelling, Analysis and Computation
The University of Edinburgh


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