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Master of Science - Big Data Technologies

University of Westminster - Cavendish

115 New Cavendish Street, London, United Kingdom

214714

Last updated: 26/11/2024
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Image for University of Westminster - Cavendish
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About Master of Science - Big Data Technologies

Recent technological advances decreasing hardware costs and the ‘Internet of things’ has led to a rapid explosion in the amount of data generated in a variety of domains, including data-driven science, telecommunications, social media, large-scale e-commerce, medical records and e-health. Big data refers to the ability of exploiting these massive amounts of extremely heterogeneous in structure and content data that are routinely generated at an unprecedented scale from an ever-expanding variety of data sources. Business and industry used their big data to extract a better understanding of customers’ needs and behaviour, to develop targeted new products and to cut operational costs. The competitive advantages and productivity gains that big data brought led to a great number of a big data projects and a shortage of people with the required skills.

This course is aimed at people who want to move into this rapidly expanding and exciting area; it has a strong vocational flavour as it has been designed to build knowledge and understanding of big data systems architectures and to equip students with the range of highly marketable, hands-on skills employed by the core technologies utilised in big data projects.

The course is suitable for recent graduates who wish to study for a higher qualification and/or gain technical and professional skills related to the use of big data technologies and/or data management. It's also suitable for practitioners looking to update their knowledge and technical skills in this highly prominent discipline.

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Cost and Duration


Program Level
Master's Degree
Average Graduate Diploma
1 Year Master's Degree
Cost of Living
£16,008.00 GBP / Year
Gross Tuition
£17,500.00 GBP / First Year
Application Fee
No data available

Program Intakes

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