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: M.J.Dieter@warwick.ac.uk.
All students on the course will be given a laptop to be used in seminars and workshops.
We normally require a first or upper second class undergraduate degree. If your first language is not English, we normally require a minimum score of 7.0 in IELTS or equivalent. But we consider each application on its merits, so please get in touch with the course director to discuss course eligibility if you are unclear about entrance requirements or have any questions.
We are especially open to discussing applications from mature students who may have come to higher education through a range of diverse routes.
9 months full-time (3 terms from October to June/July)
18 months part-time
Big Data and Digital Futures Course Overview
The Diploma in Big Data and Digital Futures includes two core modules and three or four option modules.
Please note that not all modules listed here will be available each year due to staff availability and student number uptake. Modules will also be updated annually. For further information, contact the Director of Taught Postgraduate Degrees, Michael Dieter: M.J.Dieter@warwick.ac.uk
Core modules (60 CATS)
Option modules (60 CATS, with at least 40 CATS in CIM)
All our modules offer European Credit Transfer System (ECTS) credits and please see individual module pages for equivalence.
Optional modules from other departments may be considered as part of your degree programme. Should you wish to undertake an outside option, you will need to discuss this with your Masters Convenor.
The Diploma in Big Data and Digital Futures can lead to academic studies e.g. Masters and MPhil/PhD in Interdisciplinarity or relevant disciplines including Social Sciences. It can lead to future opportunities in employment fields such as Digital and Web, Big Data, Quantitative and Qualitative Methods, Media, Editing and Copyrighting, Statistics and Visualisation.
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