MSc Big Data

Course contact

Dr Naeem Ramzan & Dr Zeeshan Pervez
Naeem.ramzan@uws.ac.uk; Zeeshan.pervez@uws.ac.uk
+44 141 848 3648 / 3183

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 highly specialist program focuses on the growing importance of making use of Big Data technologies within enterprise, government sector and social media. The availability of high speed internet and advancement in data processing, persisting and provisioning technologies along with miniaturization of sensing devices have opened new opportunities to utilise data to better understand application areas. This comprehensive understanding leads to intelligent and well informed decision making supported by the field data. As we are moving toward connected environments, our reliance on this data is increasing and also becoming important from a business and personal perspective. International Data Corporation 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 market1 ; with 30% organizations collecting big data2.
1: www.idc.com/prodserv/4Pillars/bigdata
2: www.zdnet.com/topic/the-power-of-iot-and-big-data/

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 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.

“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 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 12 fully-funded tuition fee scholarships by The Data Lab* for the September 2017 entry of the MSc Big Data. 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.