This course offers a broad perspective on cloud systems, covering service-oriented design models, service-oriented architecture (SOA), service-level agreement (SLA), algorithms and mechanisms for dynamic service integration, security and dependability, virtualisation, scalability and energy efficiency.
The course is rooted in established research strengths of the School and will offer you the opportunity to work as an integral member of our research groups during your main research project using our own test cloud system to develop and test novel models and applications.
On graduation you will have the necessary skills to design and implement cloud systems preparing you for graduate careers in the IT industry or for further study.
Businesses and services are increasingly adopting cloud systems and require IT graduates, who can equally understand and deploy the new technologies, to meet their business requirements.
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 available 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.
|Advanced Distributed Systems||15|
|Optional modules (choose six)|
|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.
The rapid growth in cloud and service-based computing in general means that demand for graduates is strong. Roles include working with major cloud centres to develop and manage new systems and services, working with clients to build customised applications that capitalise on cloud solutions to business challenges, and working within perhaps smaller but highly innovative start-ups to develop new products and markets for services.
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.