Taught course

Human and Social Data Science

University of Sussex · School of Engineering and Informatics

Entry requirements

You should normally have an upper second-class (2.1) undergraduate honours degree or above.

Your qualification should be in Psychology, Economics, Business, or another Social Science subject with a good level of numeracy. You may also be considered for the course if you have an undergraduate degree in a different subject area and can demonstrate that you have ability with data and a reasonable level of Maths (this can be demonstrated in your school leaving qualifications).

Months of entry


Course content

Data is everywhere and affects every aspect of our lives and our society – from fitness trackers to online shopping to social media. Data is used to understand human behaviour, and to inform policy, journalism and strategy. Understanding how and why data is used, and the societal and ethical implications of doing so, are at the heart of this MSc.

This course is for you if you’re a graduate with an interest in data and data-driven methods that can be applied in the social sciences, business and the humanities. On the MSc, you’ll explore:

  • modern information and communication technologies
  • the python programming language
  • probability theory, statistics, linear algebra and calculus
  • machine learning techniques
  • ethics and interpretability.

You can choose to focus your studies on digital media, or on innovation and policy.

You’ll learn from experts at the forefront of their fields. Collaboration with our industry partners will give you career development opportunities.

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification
    part time
    24 months
    • Campus-based learningis available for this qualification

Course contact details

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