University of Westminster, London: Big Data Technologies (Evening Study)

InstitutionUniversity of Westminster, London View institution profile
Department School of Computer Science and Engineering
Web http://www.westminster.ac.uk/
Study type Taught

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.

Teaching approaches include lectures, tutorials, seminars and practical/hands on sessions. You will also learn through extensive course work, class presentations, group work, and the use of a range of industry standard software such as R, Python, Hadoop, MySQL, and Oracle. Assessment usually involves a combination of exams and coursework, leading to a product such as a presentation, group investigation, technical solution, a piece of software or a research review.

MSc

University of Westminster

 

University of Westminster

The University of Westminster is a vibrant international education institution with a distinguished history dating back to 1838. With three campuses in the heart of Central London (Cavendish, Marylebone and Regent) and one in Harrow, it is home to almost 19,000 students from 169 countries, among them over 4,000 postgraduate students.

The first polytechnic in London the University of Westminster continues to offer practical, rounded education to students from a wide range of backgrounds. Our academic research is recognised both in and outside of academia, with two-thirds of our work being awarded world-leading …

View Profile

Not what you are looking for?

Browse other courses in Computer science, Computer programming, Internet technology, Information technology, Computer studies, Computer management studies or Database studies, or search our comprehensive database of postgrad programs.

Scholarship Opportunity with Postgrad.com

Are you a PG student at this University or have you applied to study a postgraduate program at a university in Europe? Tell us your plans and qualify for a £500.00 PGS Scholarship.

Click here

Register with Postgrad.com

  • Exclusive bursaries
  • Open day alerts
  • Latest PG news
Register Now!