With increased availability of information about customer preferences and actions, production processes and supply chains, there is growing recognition of the economic returns from the use of big data and analytics.

The programme is designed to facilitate learners with a statistics/computing/technology background who wish to upskill in this new and emerging area of Data Analytics.

It will also be of interest to learners who have completed their undergraduate degree and wish to specialise in this area. It may be their preference to take the theory and practical modules only and not complete the dissertation.

Aims and Objectives

This is an innovative programme with an integrated delivery from end‐to‐end covering a wide range of data analytics topics.

The programme aims to develop learners’ knowledge of the theory and practice of Data Analytics necessary for them to secure employment and perform at postgraduate level in the areas of ICT /Data Analytics in a broad range of commercial, industrial and public sector environments.

Graduates will have an in-depth knowledge of the practical and theoretical aspects of data analytics. The programme enables and supports learners in developing critical analytical skills and in applying theoretical concepts to the practice of data analytics.

The programme incorporates Personal & Professional Development (PPD) within modules to enhance the student’s employability, which will enable them to integrate seamlessly into an organisation by addressing skills such as leadership, self‐management and teamwork that are essential in the area of Data Analytics.

It also comprises a Research Methods module integrated into the applied data analytics modules, focusing on literature review, research technique, and their application to real life situations, data sets and how applied research and entrepreneurship are linked. These modules will inform the learner’s Dissertation, which requires the production of an artefact.