M.Sc., Environmental Monitoring, Modelling and Management

About the Program

Master of Science (MSc) in Environmental Monitoring, Modelling and Management at King's College London, from 2010 to 2011. The program was run by the Department of Geography and provided advanced training in applying environmental modelling, monitoring, remote sensing, and geographic information systems (GIS) to environmental management. It has been running since 1997 and has since been restructured into the Environmental Science for Sustainability MSc.

The program offered two tracks: a Research stream (leading to PhD placements) and a Consultancy stream (leading to environmental management careers). I followed the Research stream.

Core Modules

The program covered four core technical areas:

• Environmental GIS -- Capturing spatial data from multiple sources, managing data quality, and integrating it within GIS environments. Focused on the combined use of spatial data alongside remote sensing and simulation models for understanding and managing the natural environment.
• Environmental Remote Sensing -- Working with satellite data from sensors like AVHRR and Landsat Thematic Mapper. Calibrating, processing, and interpreting remote sensing data to identify environmental change phenomena.
• Methods for Environmental Research -- Research design, statistical analysis, and environmental investigation methodology. Covered the full pipeline from designing studies to analyzing and presenting results.
• Modelling Environmental Change at the Land Surface -- Simulation modelling of environmental processes, understanding how to represent physical systems mathematically and validate models against observations.

What I Took Away

This program was my first serious exposure to working with large spatial datasets, building computational models, and thinking about optimization in a physical systems context. The GIS and remote sensing work taught me to handle messy, real-world data at scale. The modelling coursework introduced me to the idea that complex systems can be represented mathematically and simulated, which directly shaped the direction of my PhD research in supply chain optimization at McGill.