Our goal is to train you to become an innovator and research leader in responsible, data-driven and knowledge-intensive human-in-the-loop AI systems. Our innovative, cohort-based training programme will deliver cohorts of highly trained PhD graduates with the skills to design and implement complex interactive AI pipelines that solve important societal problems in responsible ways.
The key AI challenges of tomorrow are posed by the need for interactive knowledge-intensive systems in which the human plays an essential role.
In close conversation with our industry partners, the University identified interactive artificial intelligence as a core discipline of AI where the need for and deficit in advanced AI skills is abundantly evident, while being homogeneous enough to have intellectual integrity and be taught and researched within the context of a single centre for doctoral training.
You will be trained by world-leading experts in knowledge-driven AI, data-driven AI and human-AI interaction and receive inter-disciplinary training in responsible AI. You will study and work in close collaboration with other members of your cohort, developing advanced AI pipelines within a bespoke software environment. After completing this unique four-year programme, graduates will be at the forefront of AI innovation in both research and deployable systems.
Fees for 2019/20
- UK/EU: full-time
Fees are subject to an annual review. For programmes that last longer than one year, please budget for up to a five per cent increase in fees each year. Find out more about tuition fees.
University of Bristol students and graduates can benefit from a ten per cent reduction in tuition fees for postgraduate study. Check your eligibility for an alumni scholarship.
Funding for 2019/20
This CDT programme has funds to support up to ten UK/EU students per year including fees, enhanced stipend (£20,500 per year), research and travel expenses. The programme has no internal funding for non-EU students, but applications received from self-funded international students are welcome and will be considered.
Throughout the degree, you will have access to world-leading experts and industrial engagement, providing you with the opportunity to learn about real-world challenges and how industry tackles them.
During the first year of the programme you will undertake a range of units allowing you time to build knowledge and ignite your curiosity. In addition, there will be opportunities for transferable skills training.
Following this first year of structured units, you will progress to the research component of the programme. At this stage students will be able to perform their own research at an internationally publishable standard. They will also be able to document and communicate their findings to peers and expert practitioners in the field.
An upper second-class honours degree (or international equivalent) in a relevant subject.
The Interactive Artificial Intelligence CDT is primarily aimed at students with a first degree in engineering or science and with strong programming skills, but will also consider applicants with suitable skills acquired in employment.
English language requirements
Read the programme admissions statement for important information on entry requirements, the application process and supporting documents required.
Interactive human-in-the-loop AI systems have extremely wide applicability: the industry sectors of our partners include AI hardware, banking and finance, cloud computing, consumer devices, cyber security, digital democracy, entertainment, geo-mapping, mission-critical solutions, online retail, social networks and sustainable energy.
Interactive AI doctoral graduates will be highly employable in these and many other industry sectors, as well as government bodies and NGOs all over the globe.
Find out more about becoming a student at Bristol, applying for a visa and the support we offer to international students.
- 56% of research is internationally excellent (3*)
- 12% of research is recognised internationally (2*)
- 1% of research is recognised nationally (1*)
Results are from the most recent UK-wide assessment of research quality, conducted by HEFCE. More about REF 2014 results.
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