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Engineering

Practice-Oriented Artificial Intelligence (PhD) at University of Bristol

University of Bristol, United Kingdom

Programme overview

Practice-Oriented Artificial Intelligence is about bridging the gap between complex problem domains such as those found in science and research, and Artificial Intelligence (AI) algorithms and techniques that could be used to solve problems in those domains. Society needs AI experts with the ability to act as a bridge between domain experts and AI technology. But rather than delivering 'AI for x' experts for a fixed domain 'x', which might quickly lose its importance or utility, our Practice-Oriented Artificial Intelligence (PrO-AI) doctoral training programme will deliver experts with the flexibility to adapt to new domains over the course of their career.

Faculty: Faculty of Health and Life Sciences  |  Department: School of Computer Science  |  Duration: Four years full-time  |  Study mode: full-time  |  Intake: 13 September 2027  |  Location: Bristol, England, United Kingdom

What you will study

The PrO-AI training programme consists of a Foundation Year (a combination of modules involving group and independent research, seminars, workshops and skills training) followed by three years of PhD study and research. The Foundation year modules are: Practice Projects: offers 'deep dives' into a research domain. You will liaise with domain experts to get an understanding of their expertise, expectations and success criteria.

Career pathways

Graduates will have the sought-after skills to adapt quickly to a problem domain in science and research that they haven't worked in previously. They can become part of new and existing world-class research groups, as well as pursue highly rewarding careers in a variety of industries around the world.

Official programme page

Application information

Entry requirements

Applicants must hold/achieve a minimum of an upper-second class honours degree (or international equivalent) in a relevant discipline. The CDT is primarily aimed at students with a first class degree in engineering or science and with strong programming skills, but applicants with suitable skills acquired in employment will also be considered. Applicants need to have prior knowledge and experience with selected contemporary AI techniques and demonstrate this in their application. English language: profile level E.

Domestic applicants: GBP 5,343 a year (2027/28). full-time per year; 2027 entry, subject to annual review. Source

International applicants: GBP 28,300 a year (2027/28). full-time per year; 2027 entry, subject to annual review. Source

Intake: 13 September 2027

Duration: Four years full-time

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