MSc Big Data Technologies 12 months Postgraduate Programme By Glasgow Caledonian University |TopUniversities
Programme Duration

12 monthsProgramme duration

Tuitionfee

19,400 GBPTuition Fee/year

Starting Month

SepStarting Month

Programme overview

Main Subject

Computer Science and Information Systems

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Data scientists are in high demand in a range of industries as businesses increasingly seek employees with a solid base of technical, analytical and communications skills.

Glasgow Caledonian University’s (GCU) MSc in Big Data Technologies will enable you to acquire the skills and knowledge you need to thrive in a fast-growing industry. You'll develop competence in a range of emerging technologies in big data, including cloud computing, data analytics, artificial intelligence (AI), machine learning (ML), software engineering and DevOps and data visualisation.

With the possibility to study both full-time or part-time, the course is ideal for someone with a background in computer science, software engineering or web-technologies

The up-to-date curriculum keeps a career-focused approach, so you'll gain valuable skills you can immediately put to work in the industry.

  • Utilise leading-edge tools and technologies from companies such as Google and IBM, including the latest AI and ML techniques
  • Apply a wide range of industry-standard open-source development platforms and databases
  • Confidently analyse and visualise data sources, to deliver new levels of understanding


Your expertise in big data will enable you to provide new insights into human behaviour and psychology, which can help us build stronger and happier societies across the globe. Your work could shape smart, sustainable cities; remove barriers to education; help people make healthier choices day-to-day; improve public health and so much more. All meaningful ways of contributing to the Common Good.

Programme overview

Main Subject

Computer Science and Information Systems

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Data scientists are in high demand in a range of industries as businesses increasingly seek employees with a solid base of technical, analytical and communications skills.

Glasgow Caledonian University’s (GCU) MSc in Big Data Technologies will enable you to acquire the skills and knowledge you need to thrive in a fast-growing industry. You'll develop competence in a range of emerging technologies in big data, including cloud computing, data analytics, artificial intelligence (AI), machine learning (ML), software engineering and DevOps and data visualisation.

With the possibility to study both full-time or part-time, the course is ideal for someone with a background in computer science, software engineering or web-technologies

The up-to-date curriculum keeps a career-focused approach, so you'll gain valuable skills you can immediately put to work in the industry.

  • Utilise leading-edge tools and technologies from companies such as Google and IBM, including the latest AI and ML techniques
  • Apply a wide range of industry-standard open-source development platforms and databases
  • Confidently analyse and visualise data sources, to deliver new levels of understanding


Your expertise in big data will enable you to provide new insights into human behaviour and psychology, which can help us build stronger and happier societies across the globe. Your work could shape smart, sustainable cities; remove barriers to education; help people make healthier choices day-to-day; improve public health and so much more. All meaningful ways of contributing to the Common Good.

Admission Requirements

6+
78+
59+
169+
UK honours degree 2:2 (or equivalent) in computing with software development, for example, computing, computer science, software engineering, web technologies and computer engineering. We also welcome applicants with Industry qualifications/experience within the GCU Recognition of Prior Learning (RPL) Policy.

1 Year
Sep

  • Candidates are required to submit references or letter(s) of recommendation for acceptance

Tuition fees

Domestic
9,200 GBP
International
19,400 GBP

Scholarships

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