PhD Programme
The CDT delivers a PhD programme in Computing Science and Psychology with Integrated Study. The programme includes two stages:
Stage 1:
10 taught courses for a total of 120 credits (Year 1); some cohort building events and a chance to shape the PhD project with the supervisors.
Stage 2:
A PhD project under the supervision of two academics or one academic and one industrial partner (Year 2-4).
Stage 1 (Year 1)
Fully Complete
During Stage 1, students completed 10 courses for a total of 120 credits. For every course, students were required to complete coursework and/or exams.
In order to progress to Stage 2 of the PhD programme, students were required to achieve a minimum grade of D3 for each course. Alternatively, there was an option to obtain a MSc in Computing Science and Psychology by undertaking a 60 credit project.
Semester 1
| Title | Credits | Course Type |
|---|---|---|
| Computational Social Intelligence | 10 | Core |
| Programming for AI | 20 | Core |
| Data Skills for Reproducible Research | 20 | Core |
| Cognitive Brain Imaging Methods | 20 | Core |
| Cumulative credits | 70 | |
Semester 2
| Title | Credits | Course Type |
|---|---|---|
| Automatic Analyses of Human Behaviour | 10 | Core |
| Introduction to Social Theory for Researchers | 20 | Core |
| Transdisciplinary Team Science | 10 | Core |
| Mobile Human-Computer Interaction | 10 | Option 1 |
| Conversational Interfaces | 10 | Option 2 |
| Cumulative credits | 120 |
Summer
| Title | Credits | Course Type |
|---|---|---|
| MSc Project* ( COMPSCI5098P or PSYCH5098P ) | 60 | Core |
| Cumulative credits | 180 | |
*MSc exit route only.
Stage 2 (Years 2-4)
Still Ongoing
During years 2-4, students are expected to carry out the PhD project they selected at the beginning of the application process.
During this period, the students are supervised by a team that includes either two academics belonging to the supervisory team or one academic belonging to the supervisory team and one industrial partner.
Students are expected to complete and submit their thesis during by the end of the 4th year of the PhD programme. Funded extensions are only granted in documented exceptional cases (health issues, personal difficulties, etc.). Decisions regarding possible extensions are made by the CDT (in consultation with UKRI where necessary).
Cohort Training
During the entire PhD programme (Years 1-4), students are expected to participate in various cohort training activities that include, but are not limited to, the following:
- Tutoring other students (e.g., students with a technology background helping students with a psychology background in technology oriented courses and vice versa)
- Designing and organising workshops and/or training events focusing on specific topics relevant to the CDT (e.g., ethics in AI, legal aspects of socially intelligent applications, etc.)
- Internships and Research visits to industrial partners and other relevant bodies (at least three months over the course of the programme)
- Participation in meetings with the CDT Directors
- Participation in training in Responsible Research Innovation
- Design and organisation of public engagement events (visits to schools, demonstration of technologies for the lay audience, contacts with the press, etc.)
Participation in the Cohort Training activities is a requirement, not optional.