Big Data Technologies

Glasgow Caledonian University

United Kingdom, Glasgow

University RankQS Ranking

1036

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Glasgow Caledonian University

United Kingdom , Glasgow

Key Facts

Program Level

Master by Course Work

Study Type

Full Time

Delivery

On Campus

Campuses

Glasgow

London

Program Language

English

Start & Deadlines

Next Intake Deadlines29-Jan-2024

Apply to this program

Go to the official application for the university

Duration 16 month(s)

Tuition Fee

GBP 17,950 / year

Next Intake 29-Jan-2024

Big Data Technologies

About

Embark on a career in a leading-edge field and master the exciting and challenging world of big data!

Big data techniques are revolutionising how organisations and industries acquire and analyse data, offering valuable insights into how people live, work, play, travel, shop and exercise. These insights are valuable to marketers, researchers, designers, city planners, app developers, educators and many more.

GCU's MSc in Big Data Technologies helps you build the fundamental knowledge and practical skills for success in this fast-growing field. You'll develop competence in a range of emerging technologies: big data, cloud computing, data analytics, artificial intelligence and machine learning, the internet of things and data visualisation. You'll learn from the experts; GCU is internationally recognised for the strength of its research in these exciting subjects, driving 21st-century innovation.

With both full-time and part-time study available, the course is ideal for someone with a background in computer science, software engineering, web technologies or computer engineering who wants to enhance or update their skills. Those with backgrounds in mathematics and electronics are also well suited.

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.

Please note that new applications to this programme's January 2023 intake are now closed for international and EU (without pre-settled status) students. Applications remain open for students from the UK and Republic of Ireland.

Take existing skills in computing, computer engineering or electronics and apply them to postgraduate-level study in data engineering, data-science/analytics and IoT. Progress as a data analyst, systems architect or IT/data engineer.

Full-time students complete eight taught modules; four in trimester A and four in trimester B and undertake an MSc dissertation project in the trimester following the complation of taught modules. Part-time students complete eight taught modules; four in year one, four in year two and undertake an MSc dissertation project over two trimesters following the completion of taught modules.

Big Data Landscape, Software Development for Data Science, Artificial Intelligence and Machine Learning, Data Ethics and Research Methods.

Cloud Computing and Web Services, Internet of Things, Big Data Platforms, Data Visualisation.

Dissertation

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

Requirements

Entry Requirements

Bachelor degree with GPA of 2.3/4.0 scale OR;
Bachelor degree with GPA of 2.7/5.0 scale

Fee Information

Tuition Fee

GBP 17,950

How to Apply

The easiest way to apply for a postgraduate programme is using our online application form. This form is simple to complete and allows you to upload additional documentation to support your application.

At peak times, the University receives an exceptionally high volume of applications and enquiries. We will make every effort to respond to applicants as soon as possible.

Please note that currently, it may take slightly longer than usual to respond to your enquiry or provide an initial decision on your application.

Some additional documents help GCU evaluate your application. They support the information you provided in your application form. Certificates, transcripts and references are very important. Your personal statement is your opportunity to tell GCU why you want to apply for your chosen course and so is equally as important.