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Computational Mathematics MSc

Key information

Qualification type

MSc - Master of Science

Subject areas

Computational Mathematics / Cybernetics

Course type


Course Summary

Accurate and efficient scientific computations lie at the heart of most cross-discipline collaborations. It is vital that such computations are performed in a stable, efficient manner and that the numerics converge to the true solutions of the dynamics of the physics, chemistry or biology in the problem. The programme closely follows the structure of our MSc in Applied Mathematical Sciences and is designed to equip students with the skill to perform efficient and accurate computer simulations in a wide variety of applied mathematics, physics, chemical and industry related problems. Students will undertake research projects with a strong computational element. Examples include subjects such as Spectral Pollution, Domain Decomposition, Contamination of Groundwater, Oil Reservoir Simulation, Computational Neuroscience and Uncertainty Estimation and other cutting-edge topics. Students will also achieve PGDip and PGCert awards in this course.

Different course options

Full time | Edinburgh Campus | 1 year | SEP-20

Study mode

Full time


1 year

Start date



Modelling and Tools - Core
Numerical Analysis (PDEs) - Core
Stochastic Simulation - Core

Tuition fees

UK fees
Course fees for UK / EU students

For this course (per year)


Average for all Postgrad courses (per year)


International fees
Course fees for non-UK / EU students

For this course (per year)


Average for all Postgrad courses (per year)


Entry requirements

Students should have a good honours degree in mathematics, statistics or a related subject with a substantial mathematical content is desired. Motivation and a willingness to work hard are also important pre-requisites. Entry is aimed at graduates with strong mathematical knowledge and skills.