Master of Science [M.Sc] [Big Data Technologies] From Glasgow Caledonian University

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 London'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.

MSc Advanced Computer Science with Data Science gives you the skill set needed in a range of industries. You'll gain an understanding of the new challenges posed by the data revolution, particularly in relation to its modelling, storage and access.

Data scientists are in high demand across a number of sectors, as businesses require people with the right combination of technical, analytical and communication skills.

UK honours degree 2:2 (or equivalent) in computing with software development, for example, computing, computer science, software engineering, web technologies and computer engineering.

• Minimum second-class (2:2) Honours degree or international equivalent in computer science or a closely related discipline.
• Significant programming experience, preferably in a programming language e.g. Python, Java, C++, etc. The majority of modules will use Python.