Sobre este curso

Oxford University
  • Data de início

    2020 - 2021
  • Fees

    £0
  • Study mode

    Variable
  • Ucas Code

  • Campus

    Oxford University
  • Qualification

    Doctor of Philosophy
Sumário

O melhor curso na melhor universidade para você

The information provided on this page was correct at the time of publication (November 2019). For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas 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. The growing field of social data science involves developing the science of these social data: creating viable datasets out of messy, real world data; and developing the tools and techniques to analyse them to tell us something about the world, through explanation, prediction and the testing of interventions. In this way, social data science offers a data science where the data relates to individual and social behaviour and a social science with generation and analysis of real-time transactional data at its centre. During your full-time MSc year, you will take a combination of core and option papers and produce a dissertation of up to 15,000 words with the support of a dissertation supervisor. The dissertation provides you the opportunity to apply the methods and approaches you have covered in the other parts of the course and carry out a substantive piece of academic research. Please note that the MSc component is also offered separately as the MSc in Social Data Science. Students admitted directly to the MSc + DPhil in Social Data Science will need to meet the normal admissions requirements and any conditions set to progress to the DPhil in Social Data Science. It is possible to study the DPhil component of the combined programme on either a full-time or part-time basis. Over the course of the full-time DPhil component you are expected to produce an important and original piece of scholarship that will make a significant contribution to the dynamic area of Social Data Science. On completion, you will have the qualities and transferable skills necessary to excel in teaching, research, policymaking or business. The part-time version of the DPhil component has the same high standards and requirements as the full-time version, but is spread over 6-8 years. Please visit the department website for further details on part-time doctoral study or contact the department using the details provided under Further information and enquiries.

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