Coronavirus information for applicants and offer-holders
We understand that prospective students and offer-holders may have concerns about the ongoing coronavirus outbreak. The University is following the advice from Universities UK, Public Health England and the Foreign and Commonwealth Office.
Course description
Artificial Intelligence is a well-established, exciting branch of computer science concerned with methods to make computers, or machines in general, intelligent - so that they are able to learn from experience, to derive implicit knowledge from the one given explicitly, to understand natural languages such as English, Arabic, or Urdu, to determine the content of images, to work collaboratively together, etc. The techniques used in AI are as diverse as the problems tackled: they range from classical logic to statistical approaches to simulate brains.
This pathway reflects the diversity of AI in that it freely combines a number of themes related to AI techniques, namely Making Sense of Complex Data, Learning from Data, Reasoning and Optimisation, and Advanced Web Technologies.
Teaching and learning
Coursework and assessment
Lectures and seminars are supported by practical exercises that impart skills as well as knowledge. These skills are augmented through an MSc project that enables students to put into practice the techniques they have been taught throughout the course.
Course unit list
The course unit details given below are subject to change, and are the latest example of the curriculum available on this course of study.
| Title | Code | Credit rating | Mandatory/optional |
|---|---|---|---|
| Masters Project | COMP66090 | 90 | Mandatory |
| Automated Reasoning and Verification | COMP60332 | 15 | Optional |
| Modelling Data on the Web | COMP60411 | 15 | Optional |
| Principles of Digital Biology | COMP60532 | 15 | Optional |
| Introduction to Health Informatics | COMP60542 | 15 | Optional |
| Data Engineering | COMP60711 | 15 | Optional |
| Systems Governance | COMP60721 | 15 | Optional |
| Foundations of Machine Learning | COMP61011 | 15 | Optional |
| Representation Learning | COMP61021 | 15 | Optional |
| Text Mining | COMP61332 | 15 | Optional |
| Displaying 10 of 19 course units | |||
| Display all course units | |||
Additional fee information
Facilities
- Newly refurbished computing labs furnished with modern desktop computers
- Access to world leading academic staff
- Collaborative working labs complete with specialist computing and audio visual equipment to support group working.
- Over 300 computers in the Department dedicated exclusively for the use of our students.
- An Advanced Interfaces Laboratory to explore real time collaborative working;
- A Nanotechnology Centre for the fabrication of new generation electronic devices;
- An e-Science Centre and Access Grid facility for world wide collaboration over the internet.
- Access to a range of Integrated Development Environments (IDEs)
- Specialist electronic system design and computer engineering tools.