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School of Computing

Advanced Computer Science (Cloud Computing) MSc

Cloud Computing


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.

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 give you 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.

Compulsory modules Credits
Research Project 60
Systems Programming 15
Algorithms 15
Advanced Distributed Systems 15
Cloud Computing 15
Optional modules (choose four)  
Bio-Inspired Computing 15
Mobile Application Development 15
Knowledge Representation and Machine Learning
Data Mining and Text Analytics 15
Semantic Technologies and Applications 15
Image Analysis 15
Scientific Visualization 15
Scheduling 15
Scientific Computation
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.

Career options

Career options
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.

Graduate destinations
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.

Entry requirements

A UK upper second class honours degree (2.1), or equivalent, in computing or a related discipline with a significant computing component. You will be expected to have programming competence, some prior systems development experience and knowledge of data structures and algorithms. Relevant work experience will 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.

How to apply

You can apply for our postgraduate courses online. This will allow you to track your application at each stage of the process. For assistance please view our postgraduate taught guidelines.

If you require any further information please contact our admissions team,
e:, t: +44 (0)113 343 5440.