Programme

A four-year doctoral programme training the next generation of AI researchers.

The programme consists of taught modules in your first year, before spending years two to four working with your supervisor on your dedicated research project, which you will have identified upon application.

Year 1

Your first year will provide you with a foundation in Machine Learning and AI, and an in-depth understanding of the implications of its application to solve real-world problems.

You will be based at The University of Manchester, in one of the oldest Computer Science departments in the UK – the birthplace of the first stored-program computer and where Alan Turing first proposed the ‘Turing Test’.

Year 1 core modules

Year 1 elective modules

You will also have the choice of two elective 15-credit modules, shown in the drop-down below.

Years 2 – 4

These three years will primarily focus on doctoral research, during which you will undertake a topic-specific research project working in close collaboration with your supervisor.

  • You’ll be required to write an annual written report and viva at the end of each year of research.
  • Alongside your PhD project, you’ll also have access to training modules in the Science and Engineering Doctoral Academy, which will help you build skills in academic writing, preparing presentations and personal development.
  • To support your professional development, there are sessions to help you develop the skills needed in a diverse range of careers, such as media training, policy engagement and public engagement training. Several of our industry partners also offer placements for you to gain real-world experience.
  • You’ll also be encouraged to participate in annual activities such as:
    • Journal club: You’ll learn how to present highly advanced literature and disseminate research.
    • Summer or winter schools: You’ll have the option to attend one external school per year.
    • CDT conference: We will run a conference each year in which you can present your research and get feedback on your work. Industry partners will be invited, allowing you to network with industry professionals.