Practice-Oriented Artificial Intelligence

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. We need 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 during the course of their career. The PrO-AI CDT pulls together the University of Bristol’s proven track record in doctoral AI training and its unique and comprehensive strengths in AI applied to a range of science and research areas including health, environment and energy, and creative industries, to deliver highly-trained AI innovators with the transferable skills to deliver societal impact across domains.

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.

See international equivalent qualifications on the International Office website.