48 monthsProgramme duration
27,500 GBPTuition Fee/year
SepStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
PhD
Study Level
PHD
Study Mode
On Campus
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. The PrO-AI CDT pulls together the University of Bristol's proven track record in AI (AI university of the year 2024) and cohort-based doctoral training, to deliver highly-trained AI innovators with the transferable skills to deliver societal impact across domains.
The first year of the programme is a balance of flipped classroom style lectures, seminars, workshops, and group and independent projects. This training offers a first-class foundation for developing and completing a PhD project with our wide range of academic supervisors.
Beyond the first year, you will focus on your PhD project in addition to cohort and cross-cohort activities.
Throughout your programme you will participate in and build an online portfolio of transferable skills training inspired by the Vitae Researcher Development Framework. This includes training in areas such as responsible innovation, entrepreneurship, hosting visitors, organising events, public engagement, and citizen science.
Full details of our programme can be found on the Centre for Doctoral Training in Practice-Oriented Artificial Intelligence website.
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. The PrO-AI CDT pulls together the University of Bristol's proven track record in AI (AI university of the year 2024) and cohort-based doctoral training, to deliver highly-trained AI innovators with the transferable skills to deliver societal impact across domains.
The first year of the programme is a balance of flipped classroom style lectures, seminars, workshops, and group and independent projects. This training offers a first-class foundation for developing and completing a PhD project with our wide range of academic supervisors.
Beyond the first year, you will focus on your PhD project in addition to cohort and cross-cohort activities.
Throughout your programme you will participate in and build an online portfolio of transferable skills training inspired by the Vitae Researcher Development Framework. This includes training in areas such as responsible innovation, entrepreneurship, hosting visitors, organising events, public engagement, and citizen science.
Full details of our programme can be found on the Centre for Doctoral Training in Practice-Oriented Artificial Intelligence website.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
PhD
Study Level
PHD
Study Mode
On Campus
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. The PrO-AI CDT pulls together the University of Bristol's proven track record in AI (AI university of the year 2024) and cohort-based doctoral training, to deliver highly-trained AI innovators with the transferable skills to deliver societal impact across domains.
The first year of the programme is a balance of flipped classroom style lectures, seminars, workshops, and group and independent projects. This training offers a first-class foundation for developing and completing a PhD project with our wide range of academic supervisors.
Beyond the first year, you will focus on your PhD project in addition to cohort and cross-cohort activities.
Throughout your programme you will participate in and build an online portfolio of transferable skills training inspired by the Vitae Researcher Development Framework. This includes training in areas such as responsible innovation, entrepreneurship, hosting visitors, organising events, public engagement, and citizen science.
Full details of our programme can be found on the Centre for Doctoral Training in Practice-Oriented Artificial Intelligence website.
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. The PrO-AI CDT pulls together the University of Bristol's proven track record in AI (AI university of the year 2024) and cohort-based doctoral training, to deliver highly-trained AI innovators with the transferable skills to deliver societal impact across domains.
The first year of the programme is a balance of flipped classroom style lectures, seminars, workshops, and group and independent projects. This training offers a first-class foundation for developing and completing a PhD project with our wide range of academic supervisors.
Beyond the first year, you will focus on your PhD project in addition to cohort and cross-cohort activities.
Throughout your programme you will participate in and build an online portfolio of transferable skills training inspired by the Vitae Researcher Development Framework. This includes training in areas such as responsible innovation, entrepreneurship, hosting visitors, organising events, public engagement, and citizen science.
Full details of our programme can be found on the Centre for Doctoral Training in Practice-Oriented Artificial Intelligence website.
Admission Requirements
88+
168+
6.5+
67+
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 requirements
If English is not your first language, you will need to reach the requirements outlined in our profile level E.
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 requirements
If English is not your first language, you will need to reach the requirements outlined in our profile level E.
4 Years
Sep
- Candidates are required to submit references or letter(s) of recommendation for acceptance
Tuition fees
Domestic
5,106 GBP
International
27,500 GBP
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