Advanced Computer Science (Artificial Intelligence) MSc

Course overview

From software agents used in networking systems to autonomous vehicles, intelligent systems are becoming integral to modern society – and demand is only going to grow across industries. That’s why many organisations worldwide are looking to skilled experts in AI to provide them with solutions that make their businesses more streamlined.

Our Advanced Computer Science (Artificial Intelligence) MSc will equip you with specialist knowledge and a technical skill set in this fast-moving field whilst allowing you to explore a range of relevant topics in computer science.

You’ll gain a broad perspective on intelligent systems, covering evolutionary models, statistical and symbolic machine learning algorithms, qualitative reasoning, image processing, language understanding and bio-computation, as well as essential principles and practices in the design, implementation and usability of intelligent systems.

Studying in our School of Computer Science gives you access to a whole range of specialist facilities, whilst being taught by academics who are experts in their fields. We’re also responsible for producing internationally excellent research and have long-established links with industry meaning you’ll be learning the most up-to-date practices and techniques needed to pursue an exciting career in industry.

Applying

Entry requirements

A bachelor degree with a 2:1 (hons) in computer science. 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.

Applicants with any of the following will be considered on a case-by-case basis:

• A bachelor degree with a 2:1 (hons) in other Computing-based degrees
• Professional qualifications and relevant experience.

International

We accept a range of international equivalent qualifications. For more information please contact the Admissions Team.

English language requirements

IELTS 6.5 overall, with no less than 6.0 in any component.

Improve your English

International students who do not meet the English language requirements for this programme may be able to study our postgraduate pre-sessional English course, to help improve your English language level.

This pre-sessional course is designed with a progression route to your degree programme and you’ll learn academic English in the context of your subject area. To find out more, read Language for Engineering (6 weeks) and Language for Science: Engineering (10 weeks).

We also offer online pre-sessionals alongside our on-campus pre-sessionals. Find out more about our six week online pre-sessional and our 10 week online pre-sessional.

You can also study pre-sessionals for longer periods – read about our postgraduate pre-sessional English courses.

Career opportunities

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.

Plus, the University of Leeds is in the top 5 most targeted universities in the UK by graduate recruiters, according to High Fliers’ The Graduate Market in 2024 report.

Here’s an insight into some of the job positions and organisations previous advanced computer science graduates have secured:

• Transaction Risk Investigator, Amazon Development Centre, India
• Engineer, Johns Hopkins University Applied Physics Laboratory
• Senior Software Engineer, Funding Circle
• Technical Developer, Reading Room
• Head of Audience Development, Al Jazeera Media Network
• Systems Engineer, Systematic
• Software Engineer, THG
• Programmer, Alibaba