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Diploma in Big Data and Digital Futures

Big data are transforming digital processes in everyday life. Increasingly, governments, business, industry and third sector organisations all rely on employees with an understanding what big data are, how they can be used, and what their strengths and weaknesses might be. In turn, there is a growing demand for postgraduates to be able to critically engage with big data both theoretically, methodologically and practically and to understand the role that data play shaping life more generally.

In contrast to many big data focused degrees (e.g. Data Science or Data Analytics) where the focus ends up being almost explicitly on data practices and tools, here the onus is on developing both a range of theoretical approaches to digital data and objects in general as well some practice based methodological skills. As such, both method and data are taken to be social products with considerable overlapping ontologies and epistemologies and, by the end of the degree, students will be able to critically engage with the rapid changing modes of big data in circulation in general.

Who should apply?

This course is aimed at students from a range of disciplinary backgrounds who want to learn more about the ways in which data and digital processes play a role in everyday life. Although no specific background is required, your application must demonstrate an ability to work creatively and independently, as well as an interest in big data and digital futures in general.

The course follows the expectations of the MSc in Big Data and Digital Futures, but it does not require students to complete a final dissertation. This is an ideal course for those who wish to gain a range of skills that are in high demand in the global data driven job market within a only 9 months of full-time study (18 months part-time). For further information, contact the Director of Postgraduate Taught Courses Dr. Michael Dieter: