Content

Throughout the course, content is complemented by practical work, allowing you to support your theoretical knowledge with practical experience in data storage, mining, warehousing, visualisation and analysis as well as transferable skills.

The individual project provides an opportunity for applying specialist knowledge together with analytic, problem-solving, managerial and communication skills to a particular area of interest within data science. Working with the full support and guidance of an allocated Project Supervisor, you will propose, plan, specify, develop, evaluate, and present a substantial project.

You can exit after Stage 1 with PgCert Data Science.

You can exit after Stage 2 with PgDip Data Science.

Entry Requirements

Normally a 2:2 undergraduate honours degree or its equivalent in Mathematics, Statistics, Computing or any other analytical discipline. Applicants with a lower degree classification and / or relevant work experience will be considered on a case by case basis.