Durham University campus

Engineering

MSc Artificial Intelligence for Engineering at Durham University

Durham University, United Kingdom

Programme overview

This innovative MSc combines advanced artificial intelligence techniques with engineering applications, preparing graduates to develop and implement AI-driven solutions for complex engineering challenges in industry and research. Developments in the field of engineering are increasingly driven by experts in computational techniques. Our suite of scientific computing and data analysis programmes offers an application-focused course structure centred on three interwoven strands: Implementation and application of fundamental techniques in engineering applications of artificial intelligence Computer Science underpinnings of scientific computing (algorithms, data structures, implementation techniques, and computer tool usage) Mathematical aspects of machine learning and the simulation and analysis of mathematical models This specialist qualification in Engineering introduces you to engineering applications through a structured program of taught modules and project work.

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

There’s great synergy between the modules, and you will be given plenty of opportunities to put your learning into practice from the start of the course. Our research-led approach allows you to take some of the newest theoretical ideas and learn to apply cutting-edge AI methods to solve real engineering challenges. Compulsory modules include Introduction to Machine Learning and Statistics, Introduction to Scientific and High Performance Computing, Professional Skills, Project, Deep Learning for Engineering, Optimisation and Model Predictive Control for Artificial Intelligence.

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 Engineering or Computer Science or another natural science including substantial quantitative components. 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 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, covering 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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