Social data generated digitally (from, for example, social media, communications platforms, Internet of Things [IoT] devices, sensors/wearables, and mobile phones) offer a way to accumulate new large-scale data, in addition to existing data that have been converted to digital formats. These data can be put to work helping us understand big issues of crucial interest to the social sciences, industry, and policy-makers including social, economic and political behaviour, interpersonal relationships, market design, group formation, identity, international movement, ethics and responsible ways to enhance the social value of data, and many other topics.

In addition to this full-time taught course, the MSc in Social Data Science is also offered as part of a combined taught and research (1+3) programme, for students wishing to continue on to doctoral study (with the DPhil in Social Data Science commencing in the 2020-21 academic year). Applicants interested in the combined programme should consult theÊMSc + DPhil in Social Data Science course page, which provides informationÊabout the course and details of how to apply.