Centre for Doctoral Training in Machine Learning Systems PhD with Integrated Study
Course options
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Qualification
PhD/DPhil - Doctor of Philosophy
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Location
Main Campus
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Study mode
Full time
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Start date
14-SEP-26
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Duration
4 Years
Course summary
Machine Learning (ML) has a great impact on our daily lives. Developments in ML are built on improved systems that can train and generate increasingly powerful models. Systems design greatly impacts ML performance and capability.Major advancements are made when ML and systems are developed and optimised together. This is relevant across many industries such as:in-car systemsmedical devicesmobile phonessensor networkscondition monitoring systemshigh-performance computingthe creative industriespatient caresocial networkinghigh-frequency tradingHowever, PhD training that combines systems and ML is rare, as research training is often separated into individual subdisciplines.Instead, we need researchers trained in both fields and experienced in working across them. This ML Systems PhD involves training collaborative researchers with experience across systems and ML.The programme is about machine learning that works to deliver for a need. It involves a holistic view of machine learning and systems that includes both a user-centric approach and an understanding of how to make things work.
Application deadline
11/12/2025
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£ 34,800per year
Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.
University information
The University of Edinburgh
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University League Table
19th
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Campus address
Main Campus, Old College, South Bridge, Edinburgh, Edinburgh, EH8 9YL, United Kingdom
Subject rankings
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Subject ranking
18th out of 104 1
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Entry standards
/ Max 209187 90%3rd
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Graduate prospects
/ Max 10081.0 81%15th
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Student satisfaction
/ Max 43.09 77%83rd
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