Want to know what it's like to study this course at uni? We've got all the key info, from entry requirements to the modules on offer. If that all sounds good, why not check out reviews from real students or even book onto an upcoming open days?
MSc - Master of Science
Cavendish Campus
Full Time
JAN-25
1 year
Select a course option
MSc - Master of Science
Cavendish Campus
Full Time
JAN-25
1 year
MSc - Master of Science
Cavendish Campus
Part Time
JAN-25
2 years
Select a subject
Select a an exam type
Course summary
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 your knowledge and understanding of big data systems architectures and to equip you 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.
The course addresses technologies, advanced theories and techniques, along with their application, implementation and integration with legacy systems. You will analyse new demands and the application of technologies in the management of data and information resources, and examine big data technologies shaping the way data is now stored and utilised including the use of cloud stored massive datasets, distributed systems of an enterprise and how data utilisation can change and improve business processes.
A minimum of a lower second class honours degree (2:2) in IT or computing discipline, or in another discipline that either provides important underpinning for or insight into IT and computing, or it is closely related to it (e.g. sciences or engineering, business studies). If you do not have the required formal qualifications, you may be considered if you are already in employment and your role involves the use or support of the data modelling techniques and technologies covered in the course.
Students living in
Domestic
£10,500 per year
Students from Domestic
This is the fee you pay if the University is in the same country that you live in (England, Scotland, Wales, Northern Ireland)
£17,000 per year
Students from EU
The amount you'll pay if you come to study here from somewhere in the EU.
£17,000 per year
Students from International
The amount you'll pay if you come to study here from a country outside the EU.
The University of Westminster is a global institution, hosting one of the most diverse student communities found at UK universities....
Check out our
London city guide