Cloud and Data Technologies (Postgraduate Certificate): 2-year

Year of entry


Start date

October 2018


Central London


Fully Approved


Two years part-time


Two evenings a week, October to September

This specialist programme in cloud and data technologies focuses on two important technologies in the IT industry and their relationship to current and emerging IT industry practice.

You will gain specialist knowledge and technical skills that you can use in the analysis of problems arising in the use of cloud and data technologies, in evaluation and application of their use, and in research into, and development of, new technologies.

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  • Designed for part-time students wishing to advance their knowledge of cloud and data technologies.
  • You may be working in the IT sector already and wish to update your skills, or may intend to pursue a career in IT.
  • Significant coverage of emerging technologies and research developments in areas of growing importance in the IT industry.
  • Successful students may proceed to the final year of the part-time MSc Advanced Computing Technologies programme.
  • You will have 24-hour access to several laboratories of networked PCs with a range of language compilers, database and other application software. We are connected, via the SuperJANET network, to the computers of other academic institutions in London, elsewhere in the UK and abroad.
  • In the 2014 Research Excellence Framework (REF), more than 75% of our research outputs in Computer Science were ranked world-leading or internationally excellent.
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Course structure

The programme consists of four taught modules, taken over one or two years:

  • Advances in Data Management: covers the technologies underlying modern data management systems. You study advanced aspects of query processing, transaction management, distributed data management, and recent developments in web data, 'big data' and alternative database architectures.
  • Cloud Computing: covers the emerging area of cloud computing and how it relates to traditional models of computing. You gain competence in MapReduce as a programming model for distributed processing of 'big data'.
  • Data and Knowledge Management: covers the principles and application of data and knowledge management technologies and languages including SQL. You study the use of these in leading commercial database management systems as well as emerging approaches to data management.
  • Data Warehousing and Data Mining: covers the organisation, analysis and mining of large data sets to support business intelligence applications. You study the principles and commercial application of the technologies, as well as research results and emerging architectures underpinning the analysis and mining of 'big data'.
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