Apply by:  30th January 2026

Course:   14th February - 21st March 2026

This course will show you how to understand and apply the core principles of spatial visualisation, by giving you the tools to design, analyse and communicate spatial information in order to provide insights, clarity and meaning.

You will learn to:

• Map geocoded data using proprietary and open-source software tools, e.g. mapping census data, house prices, road traffic accidents, etc.
• Understand the approaches, methods and examples of spatial analysis using data from a range of public and private organisations. 
• Uncover insights by understanding how to harness, visualise and analyse spatial data which can lead to the identification of valuable insights and patterns.
• On successful completion of the course, you will be able to:
• Identify and critically appraise the history of spatial visualisation, the work of key practitioners and the emerging role of geospatial analysis in data visualisation. 
• Create static and interactive map-based visualisations using proprietary and open source software tools.  
• Develop advanced spatial visualisation that include buffers, multiple layers and complex data joins for a range of defined and customised geographies.
• Apply spatial analysis to assist with decision making using contemporary data sets, e.g. housing, transport, tourism, etc.

Course is subject to validation.

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