Big Data Technologies at University of Westminster, London - UCAS

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Course 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.

Professional bodies

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

  • BCS - The Chartered Institute for IT

Entry requirements

A minimum of a lower second class honours degree (2:2). 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 at least 6.0 in writing. Applicants are required to submit one academic reference.


Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.

Sponsorship information

Please visit our website to read about funding options: https://www.westminster.ac.uk/study/fees-and-funding/funding/postgraduate-student-funding If you are an international applicant, please visit this page to see scholarships available: https://www.westminster.ac.uk/study/fees-and-funding/funding/international-student-funding

Big Data Technologies at University of Westminster, London - UCAS