MSc Advanced Computing

Course contact

Dr Naeem Ramzan & Dr Zeeshan Pervez
ask@uws.ac.uk
0800 027 1000 (+44 141 849 4101 out with UK)

School

  • School of Engineering and Computing

Qualifications and durations

MSc 1 year full-time or 3 years part-time

Campus

Start date(s)

  • September and January

Tuition Fees

Additional costs
Please note that for some programmes of study there may be additional costs involved which are not included in the tuition fee advertised. These could be, for example, for study materials, fields trips or equipment. Programme leaders will be able to provide detail of any additional costs.
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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.

Common Modules
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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

Optional Modules
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  • Internet-of-Things*
  • 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**

Useful Information

  • Financial Support

    This course is recognised by SAAS (Student Awards Agency for Scotland) for access to postgraduate loan funding towards postgraduate tuition fees and living costs. Check the SAAS website for details of loan eligibility criteria for UK and EU students.

    Data_Lab_Black Logo

    We are delighted to announce that our Advanced Computing Masters framework has been awarded 12 fully-funded tuition fee scholarships by The Data Lab* for the September 2016 entry of the MSc Big Data option stream within the Advanced Computing framework. This means that for 12 Scottish / EU students aiming to study for the MSc Big Data it will be tuition fee free.

    To be considered for The Data Lab scholarship, you should indicate their intention to select the MSc Big Data stream within your Personal Statement during the application process. Scholarships will be awarded on a first come, first served basis to applicants who are normally eligible for SAAS funding. 

    *The Data Lab enables new collaborations between industry, public sector and universities driven by common interests in the exploitation of data science. It is one of the eight innovation centres funded by the Scottish Funding Council through the Innovation Centres programme and provides resources and funding to kick-start projects, deliver skills and training, and help to develop the local ecosystem by building a cohesive data science community.