15 Credits AUTUMN



Aims/Description: The module draws upon key concepts and emerging debates from across the social sciences to address how social and political factors interact with (big) data and evolving data science techniques such as data mining, visualisation and analytics. Key issues and debates will be examined in relation to developments in fields such as marketing, political campaigning, and state security. The module complements more technical and management orientated modules, and aims to aid students in becoming more critical and reflective data scientists, decision makers and/or citizens able to successfully navigate the challenging social, political, legal and ethical issues related to data processing and use, and to reflect critically on the ways in which emerging data practices are shaped by and contribute to the development of complex social worlds.

Staff Contact: Dr Jo Bates
Teaching Methods: Lectures, Seminars, Tutorials, Independent Study
Assessment: Course work, Short 3 minute video documentary or animation - group of 4.
WebCT resources are available for this module

Information on the department responsible for this unit (Information School):

Departmental Home Page
Teaching timetable

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