Studyportals

Social Data Science

University of Oxford

M.Sc. On Campus
10 months
Duration
28040 GBP/year
22050 GBP/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The multidisciplinary MSc in Social Data Science from the University of Oxford provides the social and technical expertise needed to analyse unstructured heterogeneous data about human behaviour, thereby informing our understanding of the human world. 

Overview

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.

Supervision

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. 

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 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.

Programme Structure

Courses included:

  • 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.

Key information

Duration

  • Full-time
    • 10 months

Start dates & application deadlines

Language

English

Credits

180 alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA Your GPA, or Grade Point Average, is a number that indicates how well or how high you scored in your courses on average. Usually a GPA scales between 1.0 and 4.0, however different countries and universities can have different grading systems.
Upper Second Class

English requirements

TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at designated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
110
IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).
7.5
Start practicing IELTS today!

Other requirements

General requirements

  • 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.

Tuition Fee

  • International

    28040 GBP/year
    Tuition Fee
    Based on the original amount of 28040 GBP per year and a duration of 10 months.
  • EU/EEA

    22050 GBP/year
    Tuition Fee
    Based on the original amount of 22050 GBP per year and a duration of 10 months.

Funding

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.

Due for update

Updated over a year ago

Check the official programme website for potential updates.

Our partners

Social Data Science
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University of Oxford

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