Durham University campus

Engineering

MSc Computational Astrophysics at Durham University

Durham University, United Kingdom

Programme overview

Using the latest scientific computing and data analysis techniques, explore the fascinating field of astrophysics and address some of the biggest research questions in the study of astrophysical phenomena. Developments in many areas of science and engineering are increasingly driven by experts in computational techniques. Those with the skills to write code for the most powerful computers in the world and to process the biggest data sets in the world can truly make a difference.

Faculty: Faculty of Science  |  Department: Computer Science  |  Duration: 1 year full-time  |  Study mode: full-time  |  Intake: September 2027  |  Location: Durham, England, United Kingdom

What you will study

This specialist qualification in astrophysics is designed to equip you with the background knowledge and skills to address some of the biggest research questions in fundamental science, such as how we can use large surveys and supercomputer simulations to probe the nature of dark matter and dark energy. The course explores areas such as stellar structure and evolution, galaxy formation, large-scale structure and simulations of structure formation. Compulsory modules include Introduction to Machine Learning and Statistics, Introduction to Scientific and High Performance Computing, Professional Skills, Project, Astrophysics.

Official programme page

Application information

Entry requirements

Entry requirements: All streams require a 2:1 BSc (Honours) degree or international equivalent in a field involving substantial quantitative and computational components. The ideal applicant has an undergraduate degree in Physics or Astrophysics or another natural science with substantial quantitative components in addition to introductory physics modules. Applicants must demonstrate strong programming skills in at least one compiled language (preferably C or C++). Proficiency in Python may suffice if the applicant has a strong background in their chosen specialisation and we strongly encourage such applicants to engage with our free pre-sessional Scientific Software Development in C and C++ course. We require all applicants to demonstrate knowledge of undergraduate-level mathematics, broadly encompassing areas such as linear algebra, calculus, and statistics.

Domestic applicants: GBP 15,500 a year (2027/28). Home/Island full-time tuition fee per year for September 2027 entry Source

International applicants: GBP 35,000 a year (2027/28). International/EU full-time tuition fee per year for September 2027 entry Source

Intake: September 2027

Duration: 1 year full-time

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