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MSc Social and Geographic Data Science

  • DeadlineStudy Details: 1 year - 2 years

Masters Degree Description

With growing demand for experts who can interpret spatial and social data, this course equips students with the analytical and technical skills to thrive in social and geographical data science. You’ll study at the intersection of computing, spatial statistics, machine learning, GeoAI and the social sciences, tackling challenges in domains such as urban planning, mobility, public health, and environmental management. You’ll work with leading researchers at UCL and benefit from links to institutions such as the Consumer Data Research Centre and the Alan Turing Institute. This course prepares you for data-driven careers in government, industry, research, and NGOs.

Entry Requirements

Normally a minimum of an upper second-class Bachelor's degree in a relevant discipline from a UK university or an overseas qualification of an equivalent standard.

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Fees

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Student Destinations

Graduates of the MSc Social and Geographic Data Science are well equipped for careers at the intersection of spatial analysis, social science, data science, and policy. The course develops highly sought-after skills in computational social science, geospatial data wrangling and analysis, spatial statistics, machine learning, urban analytics, GeoAI and social research methods—skills that are increasingly valued across academia, industry, government, and the third sector.

Module Details

Compulsory modules

  • Research Project and Dissertation
  • Principles of Spatial Analysis
  • Data, Politics and Society
  • Introduction to Social Data Science
  • Advanced Topics in Social and Geographic Data Science
  • Environmental GIS
  • Principles and Practice of Remote Sensing
  • Mining Social and Geographic Datasets
  • Climate Change Impacts to Hydro-Ecological Systems
  • Urban Policy
  • Introduction to Citizen Science and Scientific Crowdsourcing
  • Cartography and Data Visualisation
  • Coastal Geohazards
  • Designing and Managing Citizen Science
  • Climate Modelling
  • Terrestrial Carbon: Modelling and Monitoring

Optional modules

  • Environmental GIS
  • Principles and Practice of Remote Sensing
  • Mining Social and Geographic Datasets
  • Climate Change Impacts to Hydro-Ecological Systems
  • Urban Policy
  • Introduction to Citizen Science and Scientific Crowdsourcing
  • Cartography and Data Visualisation
  • Coastal Geohazards
  • Designing and Managing Citizen Science
  • Climate Modelling
  • Terrestrial Carbon: Modelling and Monitoring
  • Master’s Dissertation Scheme run by the Consumer Data Research Centre (CDRC)
  • Arup
  • Green Street
  • West Midlands Transport Authority
  • Geolytix
  • Nokia Bell Labs
  • Tesco
  • GHD Movement Strategies
  • CDRC Master’s Dissertation Scheme

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