MSc Artificial Intelligence and Machine Learning [475D]
Compulsory Modules to a total of 100 credits
| Code | Title | Autumn | Spring | Summer |
|---|---|---|---|---|
| 06-32260 | Artificial Intelligence and Machine Learning Project | - | - | 60 |
| 06-32257 | Current Topics in Artificial Intelligence and Machine Learning | - | 20 | - |
| 06-32250 | Mathematical Foundations of Artificial Intelligence and Machine Learning | 20 | - | - |
Optional Modules to a total of 80 credits
| Code | Title | Autumn | Spring | Summer |
|---|---|---|---|---|
| 06-35326 | Algorithms and Complexity (Extended) | - | 20 | - |
| 06-30241 | Computer Vision and Imaging (Extended) | - | 20 | - |
| 06-35376 | Evolutionary Computation (Extended) | - | 20 | - |
| 06-30244 | Intelligent Robotics (Extended) | 20 | - | - |
| 06-30255 | Machine Learning and Intelligent Data Analysis (Extended) | 20 | - | - |
| 06-37812 | Natural Language Processing (Extended) | - | 20 | - |
| 06-32212 | Neural Computation (Extended) | 20 | - | - |
| 06-25024 | Robot Vision | - | 20 | - |
| 06-32254 | Visualisation | - | 20 | - |
Programme Notes:
- Optional Modules: Not all options may be available in any particular year. Some option combinations are only available if the timetable permits. As students may have to make preliminary option choices before timetables are available, changes may be needed later if there are clashes. In selecting options, students need to pay attention to pre- and co-requisites.
- Programme Approval: Students' individual programmes of study must be approved by the Programme Director (as the nominee of the Head of School).
- Project: Project topics must be approved by the Programme Director as being appropriate to the Aims and Learning Outcomes of the programme.