Durham University campus

Engineering

MSc Artificial Intelligence Infrastructure Platforms at Durham University

Durham University, United Kingdom

Programme overview

Using the latest scientific computing and data analysis techniques, explore how cutting-edge AI and simulation platforms are built, maintained, and optimised, developing the skills to manage the powerful infrastructure driving breakthroughs in AI and data science. Developments in fields such as robotics, artificial intelligence, and computer vision are increasingly driven and enabled 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 specialisation in AI Infrastructure Platforms is designed to equip you with the knowledge and technical skills needed to design, operate, and manage the compute platforms powering today’s most advanced AI and simulation workloads. The course covers hardware architecture, software stacks, system monitoring, performance optimisation, and data centre operations. Compulsory modules include Introduction to Machine Learning and Statistics, Introduction to Scientific and High Performance Computing, Professional Skills, Project, Data Centre Infrastructure: Software, Hardware, Monitoring and Security, Performance Modelling, Vectorisation and GPU Programming.

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 Computer Science or a closely related field with a substantial computer science component. Applicants must demonstrate strong programming skills in at least one compiled language (preferably C or C++) and in Python. Proficiency in Python may suffice if the applicant has a strong background in their chosen specialization 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 demonstrate knowledge of undergraduate-level mathematics, encompoassing 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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