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PGCert in Cloud and Data Technologies

Programme Overview

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Aims

This specialist programme focuses on technologies which underpin solutions to the problems of handling "big data", an area of growing importance in the IT industry.

Students who complete this programme will have gained strong practical and theoretical knowledge of the above areas which they will be able to use in

Features

The programme has been designed to meet the needs of part-time students wishing to advance their knowledge of cloud and data technologies before embarking on a career in IT or on a research degree, and students already working in the IT sector. The programme has significant coverage of emerging technologies and research developments as the modules include study and discussion of recent research advances.

Students may follow the four modules in one year or two modules in each of two years.

Successful students may proceed to the final year of the part-time MSc Advanced Computing Technologies programme.

Entry requirements

Attendance

Two evenings a week part-time. See the timetable in handbook.

Dates & timetables

All dates and timetables are listed in the programme handbook.

How to apply

  • When you're looking to find the right place to study, some things really matter. For Birkbeck students, it's our reputation and the quality of our teaching
  • The programme starts in October each year. To have the best chance of being accepted onto the programme send your application before the end of June. Applications received after then will be processed provided that the course is not already fully subscribed.
  • Your application will be processed by the College Registry and we will be in touch to tell you what to do next.

Course content

The programme consists of the following modules:

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