This 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 rigorous engineering needed to develop cutting-edge applications such as largescale data mining and social networks.
Rooted in the established research strengths of the School, this course will offer you the opportunity to gain an in-depth understanding of an area of specialisation during the main project, where you will work as an integral member of one 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-ofthe-art technologies.
Course duration: 12 months (full-time)
Start date: September
Course fees (full-time): UK/EU: £10,000; International: £18,500
Scholarships: Scholarships worth up to £3,000 available.
The table below shows the modules that you will study if you commence your studies in September 2015. 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 2016, it will provide you with an example of what you will study.
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|
|Graph Theory: Structure and Algorithms||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.
Every year our Careers Centre undertakes a destination of leavers survey with students six months after graduation. A selection of these destinations, from the last five years, can be found on our employability page.
A UK upper second class honours degree (2.1), or equivalent, 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: GCSE English Language grade C (or above) or an equivalent recognised English Language qualification e.g. IELTS: 6.5 with not less than 6.0 in listening, reading, speaking and writing.
Our Language Centre provide a range of English for Academic Purposes Pre-sessional courses, which are designed to help international students develop their language and academic study skills.
If you require any further information please contact our admissions team,
e: email@example.com, t: +44 (0)113 343 5440.