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Big Data Analytics

This course provides a foundation for you to pursue a career applying leading edge software and analytics technology or conducting research in this field. It will give you an in-depth knowledge and critical understanding of the key issues and concepts. You will develop powerful skills in the extraction, analysis and management of information from big data using a variety of scientific techniques and software tools. The course is designed in conjunction with SAS, whose data mining and business intelligence platform is widely used in academia and industry. You will have the opportunity to gain SAS 9 base certification and be introduced to knowledge discovery, analysis and assessment of data extracted from structured and unstructured big-data sets, visualisation and communication of results.

Entry requirements

An undergraduate degree (2.1 or above) or equivalent in a science, technology, engineering or mathematics subject, or a closely related discipline with significant mathematical content.

Course modules

Core and optional modules: business analytics with SAS; statistical techniques; studying at Master's level and research methods; processing big data; information visualisation; analytics: ethics, trusts and governance; comparative analytics tools; natural language processing; optimisation; independent scholarship.

Assessment methods

Research project.

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