The MRes is an exit point from the PhD in Interactive Artificial Intelligence and may be awarded to students who leave the PhD following successful completion of the first year of study, comprising the units outlined below.
| Unit name | Unit code | Credit points | Status | Teaching Block |
|---|---|---|---|---|
| Innovation, Entrepreneurship and Enterprise | INOVM0013 | 10 | Mandatory | TB-1 |
| Uncertainty Modelling for Intelligent Systems | EMATM1120 | 10 | Mandatory | TB-1 |
| Applied Data Science | COMSM0017 | 10 | Mandatory | TB-2 |
| Computational Logic for Artificial Intelligence | COMSM0022 | 10 | Mandatory | TB-2 |
| Dialogue and Narrative | COMSM0023 | 10 | Mandatory | TB-2 |
| Machine Learning Paradigms | COMSM0025 | 10 | Mandatory | TB-1 |
| Responsible AI | COMSM0027 | 10 | Mandatory | TB-2 |
| Advanced Topics in AI | COMSM0028 | 10 | Mandatory | TB-2 |
| Human-Computer Interaction | COMSM0036 | 10 | Mandatory | TB-1 |
| Interactive AI Group Project | COMSM0026 | 30 | Mandatory | TB-4 |
| Summer Project | COMSM0024 | 60 | Mandatory | TB-4 |
| Interactive Artificial Intelligence (MRes) | 180 |
The assessment of the taught component of a doctoral degree is governed by the Regulations and Code of Practice for Taught Programmes and is assessed separately from the research project. Progression to the research project may be dependent on the successful completion of the taught component - please refer to the relevant handbook for the structure of the particular programme.
The pass mark set by the University for any level 7(M) unit is 50 out of 100.
It may be possible to exit the programme with a taught award. For detailed rules on progression please see the Regulations and Code of Practice for Research Programmes and the relevant faculty handbook.
