MSc Big Data Technologies

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.

When you graduate, you'll be a competitive candidate for roles as a data scientist, data analyst, systems developer or systems architect. You'll find opportunities in a diverse range of industries: engineering, pharmaceuticals, finance, healthcare, retail, security, smart environments and more.Scottish applicants to MSc Big Data Technologies have the opportunity to receive a fully-funded scholarship to study in September 2022 from the Data Lab, in partnership with the Scottish Funding Council (subject to confirmation).

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.
IELTS Average Score of 6, with no element less than 5.5
TOEFL internet-based test overall score of 78 with minimum element scores of reading at 18, listening at 17, speaking at 20 and writing at 17