IELTS 6.5 overall, with no less than 6.0 in any component
Explore advanced topics in computer science with this wide-ranging Masters degree, which will equip you with the understanding and practical skills to succeed in a variety of careers.
Rooted in the established research strengths of the School of Computing, the programme will introduce topics like systems programming and algorithms before allowing you to specialise through your choice of modules.
You could look at emerging approaches to human interaction with computational systems, novel architectures such as clouds, or the rigorous engineering needed to develop cutting-edge applications such as large-scale data mining and social networks.
Building on your existing knowledge of computer science, you’ll develop the theoretical and practical skills required to design and implement larger, more complex systems using state-of-the-art technologies. You’ll even have the chance to work as an integral member of one of our research groups when you develop your main project.
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Year 1
Compulsory modules
MSc Project60 credits
Optional modules (selection of typical options shown below)
Big Data Systems15 credits
Data Science15 credits
Knowledge Representation and Reasoning15 credits
Machine Learning15 credits
Artificial Intelligence15 credits
Programming for Data Science15 credits
Data Mining and Text Analytics15 credits
Cloud Computing15 credits
Advanced Software Engineering15 credits
Scientific Computation15 credits
International Foundation Year
International students who do not meet the academic requirements for undergraduate study may be able to study the University of Leeds International Foundation Year. This gives you the opportunity to study on campus, be taught by University of Leeds academics and progress onto a wide range of Leeds undergraduate courses.
No Course!
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 course 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.
300 GBP/year
