Join the UKRI Centre for Doctoral Training in Accountable, Responsible and Transparent AI (ART-AI)

Train to be part of the next generation of specialists with expertise in AI, its applications and its implications.

Find out more about the CDT

Staff and current PhD students talk about the new PhD programme and the importance of studying artificial intelligence.

Why join ART-AI?

At least 10 fully-funded studentships are available for a September 2019 start.

You'll train to be "specialists with perspectives”, with not only AI skills but a broader understanding of the engineering applications of AI and the ethical, policy and socio-economic consequences of intelligent technologies.

Key themes include:

  • transparency and intelligibility of AI
  • risk and decision making with AI
  • safety and trust in human-machine systems
  • policy-making with and for AI
  • innovation in data-driven and classical AI
  • engineering applications of AI

Working with industry and other partners

'The development of Artificial Intelligence is an extremely exciting growth area and Rolls-Royce view it is as one of the key technologies to enable our digital strategy. It's crucial we understand the accountable, responsible and transparent elements of Artificial Intelligence, in order to ensure we can maximise the vast potential in the Defence and Aerospace sector.' - Gareth Hetheridge, Rolls Royce Senior IT Business Partner

As part of your training, you'll work with a wide range of partners from companies, government and non-governmental organisations, and international universities to co-create research projects by identifying issues that matter to them.

'This is excellent news for the University with whom we have partnered to realise the ART-AI CDT. We see huge implications for the future of industry resulting from developments in AI, all of which are built on the premise of trust. The CDT will build a community who'll have the skills to develop the AI solutions of the future whilst ensuring these systems are ethically sound, and capable of making decisions reliably and without bias.' - Professor Ian Risk, Chief Technology Officer, CFMS

You'll also go on placement and benefit from experiencing different research environments and work on real problems, with operational data and challenging deadlines.

'Like most exciting new developments in science and technology, AI has immense capacity for good -- but raises many unanswered questions about how it will affect people's relationships, their communities and the distribution of power within society. We're delighted to partner with the University of Bath and look forward to working with the partnership and the doctoral students it will recruit.' - Revd Dr Malcolm Brown, Director of Mission and Public Affairs for the Archbishops' Council, Church of England

Programme structure

You'll combine deep training in a specialism which builds on your background, capabilities and aims, with integrated training across the breadth of disciplines.

Robot sitting next to stack of books

Before the programme starts

If your application is successful, you'll be invited to come to Bath to meet your peer mentor and first year supervisor. They will prepare a tailored pre-arrival training programme based around reading lists and online materials.

During the visit we will also co-create a first year study programme based on your academic background, experience and expertise, and research interests.

Year 1: MRes year

You'll follow a programme that draws together AI and computer science, engineering and technology, and humanities and social sciences.

You'll choose specialist courses in your "home discipline" and introductory courses in the other two disciplines.


  • Humans and intelligent machines
  • AI challenge
  • Interdisciplinary research preparation
  • Interdisciplinary thesis formulation report

There are also a wide range of optional units to choose from, for example:

  • Intelligent agents
  • Machine learning
  • Robotics engineering
  • System modelling and simulation
  • Principles and skills of social research
  • AI as a social and political practice

Years 2-4

There is an increasing focus on research in years 2-4. You’ll take short courses on topics such as research software, and develop specific skills for your research interests.

Once a year, students will come together with academic staff and CDT partners in an AI challenge co-creation workshop to identify key challenges for AI.

You'll also participate in our masterclasses and annual ART-AI conference, building a wider network of peers and potential employers.

You'll normally go on a placement and a research visit to a project partner.

While working on your PhD research, you'll collaborate with supervisors, peers and CDT partners.

How to apply

Find out if you fit the profile and the application process.

Entry requirements

To apply for this programme, you should have a first class or strong second class bachelor’s honours degree or international equivalent.

Your undergraduate degree should normally be in computer science, engineering, social sciences, policy research, psychology, or a related subject.

Normally, you will also need either to have taken a mathematics course or a quantitative methods course at university or have at least grade B in A level maths or international equivalent.

We welcome applications from UK and EU graduates. In exceptional circumstances, it may be possible to find funding for excellent students from outside the EU.

English language requirements

  • IELTS: 6.5 overall with no less than 6.0 in all components
  • The Pearson Test of English Academic (PTE Academic): 62 with no less than 59 in any element
  • TOEFL IBT: 90 overall with a minimum 21 in all 4 components

If your first language is not English but within the last 2 years you completed your degree in the UK, you may be exempt from our English language requirements.

If you need to improve your English language skills before starting your studies, you may be able to take a pre-sessional course to reach the required level.

Application process


Applications for September 2019 entry are now closed. Applications for September 2020 entry will open in September 2019.

Projects and supervisors

There are three routes to join the CDT in ART-AI:

How to apply

Follow our online guidance on how to apply.


You'll be invited for an interview at the University or through Skype.

Contact us

If you have any questions about joining the CDT in ART-AI, please get in touch with us.