Computational Science MSc Study Programme

*** We do not compensate foreign or local MSc students ***

The Computational Science MSc has a small core with a wide choice of electives, in keeping with the interdisciplinary nature of the subject. In outline, the program is:

The two Introduction to Computational Science courses will emphasize general principles. Students will work through many examples that illustrate the most important problem-types and algorithm-types that they will meet later, but in a simple guise.

In the Computational Clinic students will run a clinic where other students and university researchers may bring problems and request aid in solution.

The Master's examination will be an oral exam where students may be tested on any aspect of the courses they have completed.

The Master's thesis will be a short supervised research project.

Most of the taught courses taken will be selected by the students themselves from a large set of possible Elective Modules, subject only some basic guidelines.

Computational Chemistry Stream

Students intending to continue to a PhD in Computational Chemistry should use the following courses for their electives:

Students should complete 24 credit points selected from

Students should also complete a Project Practicum for a further 12 credit points.

Computational Particle Physics Stream

Students who wish to pursue a PhD in this area should include among their electives:

Computational Astrophysics Stream

Students who wish to pursue a PhD in this area should include among their electives:

If the following courses have not been taken as an undergraduate, they should be taken as part of this program: