Advanced Computer Science Artificial Intelligence MSc

at University of Leeds

The first half of the year will lay the foundations of the programme by giving you an understanding of the key topics of algorithms and systems programming, as well as the basic principles of automated reasoning, machine learning and how computers can be made to represent knowledge.
 

From there you’ll have the chance to tailor your studies to suit your own preferences. You’ll choose from a wide range of optional modules on diverse topics such as image analysis, cloud computing, graph theory and developing mobile apps.
 

During the second half of the year, over the summer months, you’ll also work on your research project. This gives you the chance to work as an integral part of one of our active research groups, focusing on a specialist topic in computer science and selecting the appropriate research methods.

Modules

Year 1

Compulsory modules

• MSc Project    
• Knowledge Representation and Reasoning   
• Machine Learning    

A bachelor degree with a 2:1 (hons) in computer science. Other Computing based degrees may be considered on a case by case basis.
 

We require all applicants to have studied a breadth of relevant modules including significant programming, systems development, data structures and algorithms, with strong marks across all these modules.

English language requirements

IELTS 6.5 overall, with no less than 6.0 in any component. For other English qualifications, read English language equivalent qualifications.

 

Fees

• UK: £11,500 (total)
• International: £25,000 (total)
   

Computing is an essential component of nearly every daily activity, from the collection and processing of information in business, through to smart systems embedded in devices, image processing in medical diagnosis and the middleware that underpins distributed technologies like cloud computing and the semantic web.
 

This programme will give you the practical skills to enter many areas of applied computing, working as application developers, system designers and evaluators. Links between the taught modules and our research provide our students with added strengths in artificial intelligence, intelligent systems, distributed systems, and the analysis of complex data. As a result, you’ll be well-prepared for a range of careers, as well as further research at PhD level.
 

Graduates have found success in a wide range of careers working as business analysts, software engineers, web designers and developers, systems engineers, information analysts and app developers. Others have pursued roles in consultancy, finance, marketing and education, or set up their own businesses.