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 allocation of graduate supervision for this Social Data Science course from the University of Oxford is the responsibility of the Oxford Internet Institute and it is not always possible to accommodate the preferences of incoming graduate students to work with a particular member of staff. Supervision for the MSc in Social Data Science spans multiple departments (please see the full list of faculty members eligible to supervise MSc students for this programme). A supervisor may be found outside the list on the course webpage, and co-supervision is possible.
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 Google or Facebook, smaller start-ups like Academia.edu, as well as regulatory positions and consultancy. MSc alumni have progressed to further graduate study at institutions such as Oxford, Harvard, Princeton and LSE.
Get more detailsVisit official programme website
- 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.
- You will take a combination of core and option papers and produce a dissertation . 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.
- 10 months
Start dates & application deadlines
- Apply before
DisciplinesComputer Sciences View 616 other Masters in Computer Sciences in United Kingdom
- a first-class undergraduate degree with honours in any subject.
- In exceptional circumstances, applicants with a distinguished record of workplace achievement since graduation may be accepted with lower grades at first degree level. We nevertheless strongly encourage any applicants from industry to include at least one reference from an academic or someone in academic-related field.
- For applicants with a degree from the USA, the minimum GPA sought is 3.7 out of 4.0.
International28040 GBP/yearTuition FeeBased on the original amount of 28040 GBP per year and a duration of 10 months.
EU/EEA22050 GBP/yearTuition FeeBased on the original amount of 22050 GBP per year and a duration of 10 months.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Apply and win up to €10000 to cover your tuition fees.
Due for update
Updated over a year ago
Check the official programme website for potential updates.