Taught course

Geographic Data Science

University of Liverpool · Department of Geography

Entry requirements

Please see the course page on the University website for full details.

Months of entry


Course content

This course will enable you to develop a high level understanding of quantitative and computational geographical methods. This includes skills in GIS software and statistical programming languages, such as R or Python.

Within an applied setting, you will develop skills in the visualisation, modelling and statistical analysis of conventional and novel sources of data, ranging from censuses and social surveys through to satellite imagery and social media using both web-based and traditional techniques.


  • How the modern GIS toolkit can be integrated with Data Science tools to solve practical real-world problems
  • You’ll gain the practical ability to apply GIS in the handling and analysis of spatial data in a context of planning and social sciences
  • Research methodology, philosophy, strategy and design, and to the ethical and practical considerations associated with conducting research
  • How to analyse of social survey data, covering descriptive and inferential statistics, data visualisation, regression modelling and model diagnostics
  • A range of analytical techniques and approaches suitable for the analysis of spatial data
  • Some of the major debates of society, environment, space and place and the relationships between them.

Qualification, course duration and attendance options

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

Course contact details

PG Recruitment