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MSc/PgD Big Data Technologies

Study MSc Big Data Technologies and enter the expanding world of Big Data, Data Analytics and Cloud Technologies.

Available for full-time and part-time study, this course is ideal for current practitioners who have good experience in software development and wish to enhance their skills. As well as anyone who holds an undergraduate degree in technology-based disciplines such as Computer Science, Software Engineering, Web Technologies, Computer Engineering, Mathematics and Electronics.

This masters is unique as it provides you with a fundamental understanding of the architectures of Big Data systems as well as developing the enhanced skills in software application development and data analytics solutions that you need.

It is our aim to increase skills in the new technology areas that business and industry are rapidly adopting. These include big data architectures, cloud computing, web technologies, data analytics (especially SAS and IBM Watson Analytics), big data computing platforms and the ever-expanding sources of data related to the Internet of Things.

Course Details

12 Months
Start Date
18 September 2017
Full Time
Subject Area
GCU Glasgow


Tuition fees need to be paid to the university however some students are eligible for tuition fee support. The fees and financial support that are relevant to you depend on where you lived before coming to university. A guide to fees at GCU.

Additional Costs

There are no additional costs for this programme.

You will also have to think about accommodation, living costs, travel, books and socialising. To make things as simple as possible we have information on all of this available at http://www.gcu.ac.uk/money and http://www.gcu.ac.uk/student/money/managingyourmoney

Minimum Entry Requirements

All entry requirements listed here represent the requirements for entry to the programme that are normally sought. The Admissions Team may assess additional evidence to assess your eligibility however, depending upon your full academic/employment background.
Typical Entry Requirements
UK Honours degree 2:2 (or equivalent) in computing or computer engineering /electronics or cognate discipline
Other academic and vocational qualifications

Each application to GCU is considered on an individual basis. If you do not have the typical academic entry qualifications, but can demonstrate relevant work experience and/or credits from recognised professional bodies, you may be eligible to enter this course via the University's Recognition of Prior Learning scheme.

Programme content and structure

Download the Programme Specification for a detailed breakdown of its structure, what you will learn and other useful information.

Download course content here. (PDF document)

Course Documents

Programme Description

The MSc in Big Data Technologies equips students with the fundamental knowledge and practical skills required to enter the exciting and challenging world of Big Data.

The programme takes a technology-focused approach to help students gain valuable skills that can be applied immediately within business and industry. Students will also build expertise in the key enabling technologies of cloud computing and will gain skills in one of the most exciting current areas of Big Data computing, the Internet of Things.

Why Study this Programme

This programme will equip students with the fundamental knowledge and skills of the core technologies for harnessing the big data challenges, including capture, curation, storage, integration, sharing, search, analysis, mining of large distributed unstructured datasets.

Studies on this programme are supported and enhanced uniquely by the University’s internationally excellent research strengths, especially in cloud computing, cyber security, Internet of Things and cyber-physical systems.

Of parallel importance in our programme is to cultivate the professionalism which is expected within the industry.

With all the future-proofing capabilities synthesised coherently together, graduates of the MSc in Big Data Technologies will be amongst the most highly skilled ICT graduates, responding confidently to the needs and challenges in diverse big data application domains.

What you'll learn

Students complete six taught modules.

Trimester A:

  • Cloud Computing and Web Services

  • Big Data Landscape

  • Data Analytics. 

Trimester B:

  • Big Data Platforms

  • Internet of Things

  • IT Professional Issues and Project Methods.

Trimester C:

  • MSc Dissertation

Work Placement

Students will be made aware of placement opportunities provided by our industry partners. Typically a placement would be undertaken after graduating from the MSc programme but opportunities can sometimes be made available for students to undertake their MSc Dissertation in partnership with a commercial company.


Assessment is used to demonstrate achievement of learning outcomes. The methods of assessment include class tests, coursework assignments, practical tests and technical reports. Practical implementation and evaluation form a significant part of the assessment for the taught modules and for the work of the MSc dissertation.

Career Opportunities

Graduates of the MSc in Big Data Technologies will be amongst the most highly skilled ICT graduates, responding confidently to the needs and challenges in diverse Big Data application domains.

 This programme provides key skills for those seeking employment or career enhancement as Big Data systems developers, architects and administrators, and Big Data technologist for businesses and organisations in diverse domains from engineering industries, environmental surveillance, smart cities, to service type industries.