Geospatial (GIS) Diploma
A bootcamp in spatial analysis, cloud GIS and digital twins, taking you from geospatial foundations to a portfolio-ready capstone.
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This diploma takes you from the fundamentals of spatial data to building cloud-based GIS systems and digital twins of real-world infrastructure. It is made up of 20 micro-credentials (600 hours) and finishes with a 40-hour capstone or work-integrated learning placement.
What you will learn
Foundation
Geospatial fundamentals and spatial thinking, coordinate systems and geodesy, GIS data models and cartography, Python for geospatial automation, and spatial databases (SQL) with QA/QC and data governance.
GIS Analysis & Spatial Modelling
Advanced geoprocessing, network analysis and linear referencing for infrastructure, geostatistics and spatial prediction, 3D GIS and terrain analytics, and spatial decision support through dashboards and data storytelling.
Spatial Data Engineering & Cloud GIS
Geospatial ETL across vector, raster and IoT data, cloud-native geospatial (COG, STAC, tiling), web-GIS development, big geospatial data processing, and Geo DevOps (CI/CD, containers, testing and security).
Digital Twins, BIM-GIS & Smart Infrastructure
BIM-GIS interoperability, scan-to-BIM and as-built modelling, 3D city models and digital twin architectures, smart infrastructure asset management, and IoT-driven real-time digital twins.
Capstone (40 hours)
finish with a real project or work-integrated learning placement, including a problem statement, a data pipeline with QA/QC reports, a processing workflow, and a final portfolio presentation or demo video.