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1 CoursesMsc %2B dphil in social data science in University of oxford
On Campus
The combined multidisciplinary MSc + DPhil in Social Data Science provides the social and technical expertise needed to analyse unstructured heterogeneous data about human behaviour, thereby informing understanding of the human world. 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.
Academic ability, a first-class or strong upper second-class undergraduate degree with honours, Interviews, IELTS of 7.0, TOEFL iBT of 100, CAE/CPE of 185, Official transcript, Statement of purpose and research proposal, Written work, Portfolio, References, CV
Research Scientist, Social data scientist, Labor and Employment Policy Researcher, Data and Research Specialist, Social Science Research Data Analyst
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Study in Germany with Berlin School Of Business And Innovation