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University of Westminster, London: Big Data Technologies
| Institution | University of Westminster, London View institution profile |
|---|---|
| Department | School of Computer Science and Engineering View department profile |
| Web | https://www.westminster.ac.uk |
| course-enquiries@westminster.ac.uk | |
| Telephone | +44 (0)207 915 5511 |
| Study type | Taught |
Summary
Recent advances in technology, along with decreasing hardware costs, led to the development and creation of smart devices and applications that pervade most aspects of daily life. The adoption and use of such technologies and applications in an ever-expanding variety of domains, including social media, entertainment, telecommunications, e-commerce, medical records and e-health, resulted in a rapid explosion in the amount and variety of generated data and to the need to store and analyse this data.
The term "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 use their big data to extract a better understanding of their customers’ needs and behaviour, to develop targeted new products and cut operational costs. The competitive advantages and productivity gains that big data brought led to a great number of 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.
Teaching approaches include lectures, tutorials, seminars and practical/hands on sessions. You’ll also learn through extensive course work, class presentations, group work, and the use of a range of industry-standard software such as R, Python, MySQL, Oracle and noSQL databases. Modules are assessed through coursework that is practical in nature and which may involve group/individual investigations, presentations, a technical solution, a piece of software or a research review.
MSc
| Level | RQF Level 7 |
|---|---|
| Entry requirements | 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. If your first language is not English you should have an IELTS 6.5 with no element below 6.0. |
| Location | 115 New Cavendish Street 115 New Cavendish Street Westminster W1W 6UW |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | 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. If your first language is not English you should have an IELTS 6.5 with no element below 6.0. |
| Location | 115 New Cavendish Street 115 New Cavendish Street Westminster W1W 6UW |
At the University of Westminster, our postgraduate courses in media, fashion, art, computer science and engineering are designed for ambitious professionals ready to advance their careers. Shaped by London’s global creative and tech industries, our programmes cover media, art, fashion, design, business, immersive technologies, cybersecurity, data science, and artificial intelligence.
You’ll learn from experienced practitioners and active researchers who bring real-world insight directly into the classroom. Through live briefs, collaborative projects, professional practice modules, and opportunities to exhibit, screen, or publish work, you’ll gain advanced theoretical knowledge alongside practical skills, critical thinking, and professional development, preparing you to thrive …
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