Big Data Technologies

Course description

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 students 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 and the internet of things. 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 programme 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.

Apply leading-edge tools and technologies from companies such as IBM, Microsoft and SAS
Explore industry-standard open-source development platforms such as Hadoop
Achieve industry recognition with SAS joint certification in the programme's Data Analytics module
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.

Graduate prospects
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). Find out more here.

Subjects

• Data processing
• Data analysis
• Information technology
• Computer science