MSc Geographical Information Science with Industry

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Tuition fee
Apply by
Start date
Sep 2025
Sep 2026
Duration
1.5 years
2 years
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
4 - 6 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs

Geographic Information (GI) plays an increasingly important role in many areas of our lives: environmental protection, business and marketing, communications, forecasting, modelling, agriculture, and local and regional planning.

Understanding GI systems (the software tools) and GI science (the technical discipline) is essential for effective management and analysis of spatial data. Working alongside industry partners, the course comprises four core modules plus four option modules (selected from a larger pool) and a dissertation.

You will learn key skills in: using a range of GI software; scientific programming; dealing with the growth in data from social media and the internet; and, analysing spatial data in the broader context of data science. Alongside the core modules, you’ll have the opportunity to specialise in areas such as environmental health, remote sensing and earth observation, visualisation, and field data capture.

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Requirements

The requirements may vary based on your selected study options.





















Modules

  • Fundamentals of GIS
  • R for Data Science
  • Geographical Visualisation
  • Remote sensing
  • Geospatial Data Analytics
  • Geospatial Artificial Intelligence
  • Satellite Data Analysis in Python
  • GIS in Environmental Health
  • Field Data Capture
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    Use our magical AI system, to check your admission chances for this course.
    Tuition fee
    Apply by
    Start date
    Sep 2025
    Sep 2026
    Duration
    1.5 years
    2 years
    Campus
    Mode of study
    Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
    Offer response
    4 - 6 weeks after your application is submitted
    Backlogs accepted
    This course accepts backlogs