ART-AI PhD Training Programme

Our 4-year integrated PhD programme will train you to be “specialists with perspectives”, with AI skills as well as 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
diversity and bias in AI

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. The course is designed around a 4-year full-time programme of study, starting in late September/early October each year, where students progress together as a cohort. Applicants are expected to be available for full-time study although a part-time option is available at the discretion of the CDT directors, depending on the needs of the student and the project.

Before the programme starts

If your application is successful, you’ll be invited to come to Bath to meet your peer mentor, first year supervisor and the director of training. 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

You’ll follow the MRes in Accountable, Responsible and Transparent Artificial Intelligence programme that draws together AI and computer science, engineering and technology, and humanities and social sciences. The taught elements of the MRes year include units that are assessed using coursework and examinations (both oral and written). Students are required to reach a pass mark of 60% overall in order to progress onto the research phase.

Units

You’ll choose specialist courses in your “home discipline” and introductory courses in the other two disciplines, alongside five compulsory units:

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

The range of optional units to choose from includes:

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

In years 2-4, you’ll focus on your PhD research, under the guidance of a lead academic supervisor and at least one other academic. You’ll take short courses on topics such as research software, and develop specific skills for your research interests.

Your progress will be monitored by your supervisors and the CDT Director of Training. Students are expected to submit progress reports every 6 months. At the end of year 2, students should submit written work (a report and a data management plan) and sit an oral assessment to be confirmed on the programme.

During the research phase, students will come together with academic staff and CDT partners in masterclasses and conferences building a wider network of peers and potential employers. You will have opportunities to go on a placement and research visits to a project partner.

The final stage of the PhD is submission of a substantial thesis and an oral or viva voce examination, in which students are required to defend the thesis to a Board of Examiners.

As this is an integrated programme, graduates receive both the MRes and the PhD certificates together at the end of the course.