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Course summary

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.

Modules

Full-time students complete six taught modules; three in trimester A and three in trimester B and an MSc dissertation project in trimester C. Part-time students complete six taught modules; three in year one, three in year two and an MSc project in year three. Module list: Big Data Landscape, Big Data Platforms, Cloud Computing and Web Services, Software Development for Data Science (Data Analytics), Dissertation, Internet of Things, IT Professional Issues and Project Methods.

Assessment method

Assessment is used to demonstrate achievement of learning outcomes. The methods of assessment include class tests, coursework assignments, practical tests and technical reports. Practical implementation and evaluation form a significant part of the assessment for the taught modules and for the work of the MSc dissertation.

Professional bodies

Professionally accredited courses provide industry-wide recognition of the quality of your qualification.

  • BCS - The Chartered Institute for IT

Entry requirements

All entry requirements listed here should be used as a guide and represent the minimum required to be considered for entry. Applicants who are made a conditional offer of a place may be asked to achieve more than is stated. 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.


English language requirements

TestGradeAdditional details
IELTS (Academic)6Overall score of 6.0 with the minimum of 5.5 in each element

Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

Annual Fees for 2023/24: Home & RUK £8,500 International & EU £17,950
Big Data Technologies at Glasgow Caledonian University - UCAS