This MSc course provides a thorough introduction to advanced topics in Computer Science, including emerging approaches to human interaction with computational systems, novel architectures such as clouds and the rigourous engineering needed to develop cutting-edge applications such as large-scale data mining and social networks.
The course is rooted in the established research strengths of the School and will offer you the opportunity to gain an in-depth understanding of an area of specialisation during the main research project where you will work as integral members of our research groups. You will apply your knowledge and skills to tackle a significant problem, which will prepare you for a graduate career in the IT
industry or for further study.
Building on your existing knowledge of computer science you will develop the theoretical and practical skills required to design and implement larger, more complex systems using state of the art technologies.
Got a question about this course? Get it answered at our online information session. Register here.
The tables below show the modules that you will study if you commence your studies in September 2013. This information is taken from the University Programme Catalogue, which is a tool designed for current students to select modules.
If you are looking to start your studies in September 2014 a list of modules is in the 2014 brochure.
All of our MSc courses operate on a credit-based modular system. A standard module is typically worth 15 credits and the research project/dissertation is worth 60 credits. You are required to study 180 credits in total.
|Optional modules (choose six)|
|Advanced Distributed Systems||15|
|Mobile Application Development||15|
|Knowledge Representation and Machine Learning
|Data Mining and Text Analytics||15|
|Semantic Technologies and Applications||15|
This is an indicative list and actual content may vary as we regularly review the content of our courses in light of new experiences and developments in the field.
Computing is an essential component of nearly every daily activity, from the collection, transformation, analysis and dissemination of information in business, through to smart systems embedded in commodity devices and the low-level services that underpin the digital world. The latter spans the image processing used in medical diagnosis through to the middleware that underpins distributed technologies like cloud computing and the semantic web.
Graduates of this course have the practical skills to gain entry into many areas of applied computing, working as application developers, system designers and evaluators; but further, 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.
A degree equivalent to a UK upper second class honours (2:1) degree or higher in computing or a related discipline with a significant computing component. You are expected to have programming competence, some prior systems development experience and knowledge of data structures and algorithms. Relevant work experience will also be taken into consideration.
We also welcome and accept students with a wide range of international equivalent qualifications.
English language requirement: A pass at GCSE level in English language (grade C or above). If English is not your first language, you are required to provide evidence of proficiency in English. You will need to meet our minimum requirements for one of the following recognised English language tests: the International English Language Testing Service (IELTS), the Test of English as a Foreign Language (TOEFL) and the Pearson Test of English Academic.
The easiest and quickest way to apply for one of our masters courses is to apply online. This way, you can also track your application at each stage of the process. However, if you prefer, you can download an application form to print out and complete. Once complete, please return this, along with the correct documents to our Engineering Admissions Hub either via email or post: Engineering PGT Admissions Hub, Faculty of Engineering, University of Leeds, LS2 9JT, UK.
If you require any further information please contact our admissions team,
e: firstname.lastname@example.org, t: +44 (0)113 343 5440.