Objectives of the Programme:

• Equip Participants with practical skills in GIS, Remote Sensing, and cloud-based geospatial tools to analyse and solve real-world spatial problems across sectors including urban planning, disaster management, agriculture, and environmental monitoring.
• Prepare Participants for professional roles in geospatial consulting, government agencies, research organizations, and the private sector, contributing to evidence-based decision-making and national development.
• Promote ethical geospatial practice and exposure to emerging technologies including AI in GIS, web mapping, and cloud-based remote sensing to support continuous professional growth.

Outcomes of the Programme:

Upon completion of this program, participants will be able to:

1. Apply GIS tools for spatial data processing — collect, manage, and analyse vector and raster data using ArcGIS and QGIS to solve real-world spatial problems.
2. Process and interpret satellite imagery — perform image pre-processing, classification, and change detection using ERDAS Imagine for thematic mapping and earth observation.
3. Conduct cloud-based geospatial analysis — utilize Google Earth Engine to process large-scale satellite datasets and perform advanced spatial analysis in a cloud environment.
4. Design and publish interactive web maps — build and share professional maps, dashboards, and story maps using ArcGIS Online, Mapbox, and Leaflet.
5. Automate geospatial workflows using Python — develop scripts using GeoPandas, Rasterio, and Folium for spatial data processing, analysis, and visualization.
6. Uphold ethical geospatial practice — ensure data integrity, comply with spatial data standards, and engage with emerging technologies including AI in GIS and cloud-based remote sensing.

Programme Scheduling Format: Evening / Weekend / Hybrid

Minimum Entry Level:

Applicants must possess a minimum of 14 years of education with minimum 45% passing marks from an HEC recognize institution with relevant background.