Geospatial Data Science

Geospatial Data Science combines geography, GIS, remote sensing, spatial analysis, and data science to solve real world problems. Students learn to collect, analyze, and visualize location-based data using industry-standard technologies while developing skills in programming, machine learning, and spatial modelling. Graduates are prepared for careers in environmental management, urban planning, transportation, public health, business analytics, conservation, and many other rapidly growing fields.

 

ESRI Canada selects UofT for Centres of Excellence program

A member of ESRI Canada Centre of Excellence
Learn about U of T's ESRI partnership

GGR440 Field Work

Programs Available

Questions?

Program questions