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MSc or PGDip or PGCert
Our Artificial Intelligence (AI) course allows you to develop the skills, knowledge and understanding to:
- pursue careers in the cutting edge of AI
- implement novel technological solutions in real world problems.
It is ideal for recent graduates in computing, mathematics, engineering or a science-related subject with good programming skills. And those with substantial experience in the computing industry who want to gain a qualification that develops their expertise.
The course is informed by the state-of-the-art research being undertaken in the school. You will study:
- machine learning
- deep learning
- data science
- data visualisation
- big data and the cloud
- intelligent autonomous systems
- fundamental relevant aspects of cybersecurity.
Our labs are equipped with industry-standard equipment and software tools. This includes a ‘Fab’ lab and robotics lab with a range of platforms for you to implement Artificial Intelligence algorithms.
How to apply
Questions about fees?
Contact Student Finance on:
Questions about fees?
Fees quoted are for the first year only. If you are studying a course that lasts longer than one year your fees will increase each year.
Financial support and scholarships
The Department of Computing and Communication Technologies awards a limited number of scholarships for its taught postgraduate programmes, which are awarded on a competitive basis to UK, EU and international postgraduates each year. Further information can be found at /ecm/courses/scholarships/
Learning and assessment
You need to gain credits depending on the level of award you are studying:
MSc in Artificial Intelligence
You need 180 credits including:
- 120 credits from taught modules
- 60 credits from your dissertation.
Postgraduate Diploma in Artificial Intelligence
You must achieve 120 taught module credits.
In some cases, it may be possible for you to gain 60 taught module credits and 60 credits from a dissertation).
Postgraduate Certificate in Artificial Intelligence
You must achieve 60 credits.
You can also do a Postgraduate Certificate in Artificial Intelligence Research Project.
Part-time students normally distribute the work evenly over two years.
The School of Engineering, Computing and Mathematics is home to world-leading and award-winning research. Our focus is on user-inspired original research with real-world applications.
We have a vibrant and growing research community, with a wide range of activities from model-driven system design and empirical software engineering through to web technologies, cloud computing and big data, digital forensics and computer vision.
Staff and students collaborate on projects supported by the EPSRC, the EU, the DTI, and several major UK companies.
Computing achieved an excellent assessment of its UoA (Unit of Assessment) 11 return for REF 2014 (Research Excellence Framework).
Students on this course can be involved with research in the following research groups:
After you graduate
We focus on using industry standard tools to solve practical and industrially relevant problems, and using those problems to teach the theoretical concepts. This ensures that students have the opportunity to acquire skills which will not just equip them for today's computing industry, but for a lifelong career in the computing industry.
Graduates, from the programme, will be ideally equipped for a career in wide variety of industries. Graduates are employed across a whole range of jobs, including
- data scientist
- software data engineer
- machine learning engineer
- machine learning scientist
- AI architect
- AI consultant
- AI specialist
- ML architect
- knowledge engineer.
Programme Changes: On rare occasions we may need to make changes to our course programmes after they have been published on the website.
For more information, please visit our Changes to programmes page.