Artificial Intelligence and Adaptive Systems (with an industrial placement year)
(MSc) Artificial Intelligence and Adaptive Systems (with an industrial placement year)
Entry for 2025
FHEQ level
This course is set at Level 7 (Masters) in the national Framework for Higher Education Qualifications.
No course outline is currently available.
Full-time course composition
| Year | Term | Status | Module | Credits | FHEQ level |
|---|---|---|---|---|---|
| 1 | Autumn Semester | Core | Algorithmic Approaches to Mathematics (817G5) | 15 | 7 |
| Option | Advanced Software Engineering (947G5) | 15 | 7 | ||
| Algorithmic Data Science (969G5) | 15 | 7 | |||
| Applied Natural Language Processing (955G5) | 15 | 7 | |||
| Artificial Life (819G5) | 15 | 7 | |||
| Intelligence in Animals and Machines (826G5) | 15 | 7 | |||
| Programming through Python (823G5) | 15 | 7 | |||
| Spring Semester | Core | Adaptive Systems (825G5) | 15 | 7 | |
| Core | Machine Learning (934G5) | 15 | 7 | ||
| Core | MSc Individual Project (954G5) | 60 | 7 | ||
| Option | Advanced Natural Language Processing (968G5) | 15 | 7 | ||
| Image Processing (521H3) | 15 | 7 | |||
| Intelligent Systems Techniques (802G5) | 15 | 7 | |||
| Neuroscience of Consciousness (993C8) | 15 | 7 | |||
| Year | Term | Status | Module | Credits | FHEQ level |
| 2 | Postgraduate Academic Year | Core | Industrial Placement Year (978G5) | 180 | 7 |
Part-time course composition
| Year | Term | Status | Module | Credits | FHEQ level |
|---|---|---|---|---|---|
| 1 | Autumn Semester | Core | Algorithmic Approaches to Mathematics (817G5) | 15 | 7 |
| Option | Advanced Software Engineering (947G5) | 15 | 7 | ||
| Algorithmic Data Science (969G5) | 15 | 7 | |||
| Programming through Python (823G5) | 15 | 7 | |||
| Spring Semester | Core | Adaptive Systems (825G5) | 15 | 7 | |
| Core | Machine Learning (934G5) | 15 | 7 | ||
| Year | Term | Status | Module | Credits | FHEQ level |
| 2 | Autumn Semester | Option | Applied Natural Language Processing (955G5) | 15 | 7 |
| Artificial Life (819G5) | 15 | 7 | |||
| Intelligence in Animals and Machines (826G5) | 15 | 7 | |||
| Spring Semester | Core | MSc Individual Project (954G5) | 60 | 7 | |
| Option | Advanced Natural Language Processing (968G5) | 15 | 7 | ||
| Image Processing (521H3) | 15 | 7 | |||
| Intelligent Systems Techniques (802G5) | 15 | 7 | |||
| Neuroscience of Consciousness (993C8) | 15 | 7 | |||
| Year | Term | Status | Module | Credits | FHEQ level |
| 3 | Postgraduate Academic Year | Core | Industrial Placement Year (978G5) | 180 | 7 |
Please note that the University will use all reasonable endeavours to deliver courses and modules in accordance with the descriptions set out here. However, the University keeps its courses and modules under review with the aim of enhancing quality. Some changes may therefore be made to the form or content of courses or modules shown as part of the normal process of curriculum management.
The University reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.