Data Science (Social Analytics) at University of Manchester - UCAS

Course options

Course summary

The range of pathways reflects the interdisciplinary nature of the programme and we welcome applications from students with backgrounds in a wide range of disciplines including:

  • Business and management
  • Health science
  • Social sciences
  • Geography
  • Planning
  • Computer science
  • Mathematics.
We provide training in core data science skills, embedded in a disciplinary context provided by the pathway, and expect students to develop:
  • Computational skills
  • Data analytical skills.
  • Data stewardship skills and knowledge
  • Project design skills.


Entry requirements

High 2:1 honours degree (or overseas equivalent). You are expected to have a degree with a substantial proportion of social science content; as a minimum you should have completed two degree level units on topics from any of the following: sociology, psychology, anthropology, economics, history, human geography, political science, public health. The following includes other skills/experience that would increase the chances of being selected: - Evidence of applying statistical modelling to social sciences - Non-academic experience with the application of statistical models to social issues - Experience working on public policy issues or similar In your application, you should demonstrate aptitude, knowledge and/or interest in three areas: - data analytics and/or statistics; - computational subjects; and - pathway specific requirements. These can be demonstrated by course units taken at undergraduate level and high school level, or professional experience. Please see our application and selection page for more detailed information.


Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

Fees for entry in 2024 have not yet been set.
Data Science (Social Analytics) at University of Manchester - UCAS