Last modified: 05 Dec 2025 15:46
This course will provide students of our MSc in AI programme with the opportunity to develop their own AI research project, under the supervision of a member of staff. Typical projects include extending, improving or adapting existing AI theories or techniques to solve different problems, comparing competing techniques or tools to solve a particular problem, and so on. Students will improve their problem-solving and communication skills, as well as broaden, deepen and consolidate knowledge obtained in other components of the degree.
| Study Type | Postgraduate | Level | 5 |
|---|---|---|---|
| Term | Second Term | Credit Points | 60 credits (30 ECTS credits) |
| Campus | Offshore | Sustained Study | No |
| Co-ordinators |
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Students will develop individual AI research projects, supervised by a member of staff. Projects may involve, for instance, the implementation and evaluation of novel solutions, exploring existing solutions for new problems, or developing new theories, methodologies and tools. Students will exercise their creativity, problem-solving and communication skills, as well as broaden, deepen and consolidate knowledge obtained in other components of the degree.
Information on contact teaching time is available from the course guide.
| Assessment Type | Summative | Weighting | 100 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback |
Word count: 12,000-17,000
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| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Procedural | Analyse | Analyse and synthesise research findings. |
| Procedural | Analyse | Identify key research questions within AI that the project aims to address. |
| Procedural | Apply | Design and implement AI solutions/algorithms suited to addressing the identified research questions. |
| Procedural | Evaluate | Demonstrate the ability to critically evaluate relevant literature and write a literature review of the relevant field. |
| Reflection | Apply | Plan and carry out an AI research project within a given timeframe under supervision. |
| Reflection | Create | Demonstrate knowledge and understanding of scientific writing and produce a dissertation. |
| Assessment Type | Formative | Weighting | ||
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback |
Word count: 500-2,500 |
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| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
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| Assessment Type | Summative | Weighting | ||
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
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| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Procedural | Analyse | Identify key research questions within AI that the project aims to address. |
| Reflection | Apply | Plan and carry out an AI research project within a given timeframe under supervision. |
| Procedural | Evaluate | Demonstrate the ability to critically evaluate relevant literature and write a literature review of the relevant field. |
| Procedural | Apply | Design and implement AI solutions/algorithms suited to addressing the identified research questions. |
| Procedural | Analyse | Analyse and synthesise research findings. |
| Reflection | Create | Demonstrate knowledge and understanding of scientific writing and produce a dissertation. |
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