The MSc Advanced Computing is a post graduate programme focusing on teaching advance topics of the Computer Science and offering training in advanced skills. It is designed to develop practical skills by providing a comprehensive understanding of fundamental knowledge and hands-on experience of advance computing technologies in order to improve their contribution to IT-related industry or to pursue R&D in academia or industry. Common modules will focus on planning, analysing, developing, evaluating, deploying, and managing advanced computing systems/services for modern day organisations/businesses. All common modules are designed to respect the overarching themes of advanced computing, delivering research informed teaching in lectures, tutorials, and laboratory sessions; other modules will focus on academic, research and ethical practices within a professional environment.
Bachelor Honours Degree (2.2 or above) in Computing/Engineering (or relevant disciplines) from a UK academic institute or an equivalent 4-year international degree qualification. Considering the relevance of this programme to Information and Communications Technologies (ICT) sector, applicants may also be considered with other academic, vocational or professional qualifications in compliance to University’s Recognition of Prior Learning guidelines. International students must meet the minimum requirement of English language.
In the programme, unique and challenging modules are introduced for example Mobile networks and smartphone applications, Data mining and visualisation as common modules for all streams in addition to Ethics for IT professionals and Object oriented analysis and design that provide the basics for Big Data and Internet of Things (IoT) streams. Each stream offered within the programme has its own dedicated modules such as Advanced data science and Intelligent systems for Big data stream; Advanced wireless networking technologies and Internet of Things for IoT stream. Two common modules which focus on research and the latest trends in the field, namely, Research design and methods and Emerging topics in smart networks, help to define and complete the research project on time.
Students will study the latest trends and technologies in Advanced Computing in the following modules together with a master dissertation to obtain the MSc degree:
- Mobile Networks and Smartphone Application
- Data Mining and Visualization
- Ethics for IT professionals
- Object Oriented Analysis & Design
- Research Design and Methods
- Emerging Topics in Smart Networks
- Advanced Wireless Networking Technologies*
- Advanced Data Science*
- Intelligent Systems*
These modules are carefully selected to prepare students to make notable contributions in modern day organizations by making use of internet-of-things. Equipped with necessary knowledge and hand-on experience this programme will enhance the employability of the students within UK and internationally.
*Specialist modules (Select any two modules)
Your prospects as a graduate will therefore depend on your specialisation and may include systems analyst; IT manager; software development manager; applications development, etc. Computing scientists are commonly well paid and work in varied environments including small, medium and large businesses and research institutions. Successful completion of the programme prepares you for advanced research studies in related technology areas. Graduates have the priority to be admitted to the MPhil/PhD degree programmes.
The next technological revolution is coming with The Internet of Things. The promise is that all aspects of modern life will be connected through the internet. In the future your mobile phone will be increasingly your gateway to life – allowing you to connect, turn on/off and adjust gadgets remotely. Imagine a world where you’ll be able to put on the cooker from your place of work, so that you meal is ready for you when you get home. Welcome to The Internet of Things – BBC Click
Big data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. With today’s technology, it’s possible to analyze your data and get answers from it almost immediately – an effort that’s slower and less efficient with more traditional business intelligence solutions – SAS