全国统一学习专线 8:30-21:00
专业概况
在这里学什么？About the course
The multidisciplinary MSc in Social Data Science provides the social and technical expertise needed to analyse unstructured heterogeneous data about human behaviour, thereby informing our 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.
Assessment
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 thesis supervisor. The thesis 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.
Graduate destinations
Employers recognise the value of a degree from the University of Oxford, and graduates from our existing programmes have secured excellent positions in industry, government, NGOs, or have gone on to pursue doctoral studies at top universities.
For example, non-academic destinations of recent graduates have included large Internet companies such as IBM, Google or Facebook, smaller start-ups firms like and Spotify, as well as regulatory positions such as the Office of National Statistics and Ministry of Justice, and various consultancies. MSc alumni have progressed to further graduate study at institutions such as Oxford, Harvard, Princeton, Columbia, and LSE among others.
The OII Alumni Wall features interviews from both MSc and DPhil alumni about their time at the Department and career paths after Oxford.
所属院系
进入哪个院系学习？ University of Oxford中国学生入学要求
课程信息
学制：全日制(10 个月)
学费：
开学时间：2022九月27日
申请截止日期：
留学地点：University of OxfordUniversity Offices,Wellington Square,Oxford,Oxfordshire,OX1 2JD, England
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