MSc Big Data

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

PgDip Advanced Computing leading to MSc Big Data
1 year / 2 years (full-time / part-time)

Campus

Start date(s)

  • September and January

Tuition Fees

Financial Support
Advanced Computing Masters framework has been awarded limited fully-funded tuition fee scholarships by The Data Lab* for the September 2016 entry of the MSc Big Data. This means that for Scottish / EU students aiming to study for the MSc Big Data it will be tuition fee free.

Scottish Funding Council Limited numbers of scholarships covering fees only to students who satisfy the SAAS residency criteria are available for this programme. Scholarships will be awarded on a first-come, first-served basis to eligible applicants who have been offered a place on the programme. SAAS also provides financial support for this programme for EU/UK students offering loans covering both full fees funding and cost of living funding.
Students may apply for other scholarships offered by the University of the West of Scotland. Latest information can be found at www.uws.ac.uk/scholarships/

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.

Apply
This programme is mainly motivated by the growing importance of big data. International Data Corporation (IDC: a market research firm) forecasted that the Big Data technology market will grow at a 26.4% CAGR (compound annual growth rate) to £28.79 billion by 2018 – approximately six times the growth rate of the overall information technology market; with 30% organizations collecting big data and/or the market of data driven services.

The MSc Big Data is a post graduate programme focusing on teaching advance topics of the data science. It is designed to develop practical skills by providing a comprehensive understanding of fundamental knowledge and hands-on experience of big data technologies within industry and academia. Modules will focus on planning, analysing, developing, evaluating, deploying, and managing big data systems/services for modern day organisations/businesses. All modules are designed to respect the overarching themes of big data, delivering research informed teaching in lectures, tutorials, and laboratory sessions; other modules will focus on academic, research and ethical practices within a professional environment.

Please note that this course is recognised as by Scottish Awards Agency Scotland (SAAS) for access to postgraduate tuition fee and cost-of-living loans for UK and EU applicants.
Appropriate undergraduate qualification: 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. Applicants may also be considered with other academic, vocational or professional qualifications deemed to be equivalent.

Conditional approved.
In the programme, unique and challenging modules are introduced for example Mobile networks and smartphone applications, Data mining and visualisation in addition to Ethics for IT professionals and Object oriented analysis and design that provide the basics for Big Data. Advanced data science and Intelligent systems are introduced to in depth knowledge of the field. In addition, two 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.

Programme Content
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Students will study the latest trends and technologies in Big Data 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 Data Science*
  • Intelligent Systems*

These modules are carefully selected to prepare students to make notable contributions in modern day organizations with Big Data technologies. Equipped with necessary knowledge and hand-on experience this programme will enhance the employability of the students within UK and internationally.
*Specialist modules

 

Many jobs are available for data analysts, data scientists, and data mining analysts with salaries ranging from £30,000 to £75,000. The graduates can go for a role of data analyst, technical developer, project manager in Big Data, Technical manager, Statistics and visualisation etc.

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. Professional recognition for this specialised Advanced Computing programme will be sought from the British Computer Society.

Useful Information

  •  Data_Lab_Black Logo

    We are delighted to announce that our Advanced Computing Masters framework has been awarded 14 fully-funded tuition fee scholarships by The Data Lab* for the September 2017 entry of the MSc Big Data. This means that for 14 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 and the European Social Fund 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.