University of Edinburgh campus

Engineering

Centre for Doctoral Training in Machine Learning Systems PhD with Integrated Study at University of Edinburgh

University of Edinburgh, United Kingdom

Programme overview

Four-year PhD with integrated study training researchers who work across both machine learning and systems. The programme takes a holistic view of machine learning, combining a user-centric approach with an understanding of how to make systems work.

Faculty: College of Science and Engineering  |  Department: School of Informatics  |  Duration: 4 years full-time; 8 years part-time (only for students not requiring visa sponsorship)  |  Intake: 2027 entry  |  Study mode: full-time  |  Location: Edinburgh, Scotland, United Kingdom

What you will study

Students take 180 credits of courses over years 1 to 3 alongside PhD research. Year 1 includes Foundational Course 1 on Machine Learning Systems, optional specialised courses and an introductory research project; Year 2 includes Foundational Course 2, Controversies in the Data Society; Year 3 is usually an internship of 3 to 6 months in a company or the public sector.

Career pathways

Graduates are prepared for growing demand for PhD-level machine learning systems expertise in industry and the public sector.

Official programme page

Application information

Entry requirements

A UK 2:1 honours degree, or its international equivalent, in an area relevant to the CDT, for example informatics, computer science, AI, cognitive science, mathematics, physics, engineering, or another field with sufficient additional evidence of capability in the required areas. International applicants: IELTS Academic overall 6.5 with at least 6.0 in each component (equivalent TOEFL-iBT, C1 Advanced/C2 Proficiency, Oxford ELLT and Oxford Test of English Advanced scores also accepted). Deadline for initial applications: 14 December 2026 (no application fee).

Intake: 2027 entry

Duration: 4 years full-time; 8 years part-time (only for students not requiring visa sponsorship)

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