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Geospatial information plays a growing role across research, public policy, and commercial applications, with precise location tracking capabilities. The Geographic Information Science & Technology specialization explores the characteristics of spatial data, along with techniques for collecting, measuring, analyzing, and modeling this information to enhance our comprehension of intricate geographical patterns. Investigations center on how to represent, computationally model, and share location-based data using cutting-edge analytical methods. Master's candidates in this dynamic discipline, which bridges data science, social sciences, and earth sciences, gain advanced skills in contemporary geospatial analysis to interpret societal and ecological dynamics across various dimensions of space and time. Alongside developing critical perspectives on geospatial content, students can specialize in diverse domains including computational geography, cyberGIS, large-scale spatial data processing, social geography networks, aerial/spaceborne sensing technologies, spatial pattern recognition through AI, geostatistical methods, and interactive mapping systems. Our globally recognized GIS&T faculty actively conduct studies on urban/regional development patterns, transportation systems, ecological landscapes, healthcare geography, energy resources, land use transformations, and sustainable community planning.