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The Master's program in Remote Sensing & Geospatial Sciences (RS & GS) caters to students from varied natural and social science disciplines seeking expert instruction in applying remote sensing and geographic information systems (GIS) to environmental and resource assessment. This program equips learners with both theoretical foundations and practical skills in remote sensing techniques (like image processing), spatial analysis methods (including spatial statistics), as well as digital mapping and GIS technologies. Graduates are prepared for roles across private, public, and nonprofit organizations that increasingly require specialists capable of managing and interpreting spatial data. Prospective RS & GS students should possess fundamental calculus and statistics knowledge. Those lacking these quantitative skills may gain conditional admission but will need to complete preparatory work. Applicants are encouraged to discuss their qualifications with the Program Director.
Program Objectives
Acquire expert-level understanding of remote sensing and GIS principles, covering sensor technology, radiative transfer, map projections, spatial databases, and geospatial modeling approaches.
Perform quantitative data analysis to assess scientific hypotheses and claims within remote sensing and geographic information science.
Effectively articulate complex remote sensing and GIS concepts through both oral presentations and written work.
Recognize the wide-ranging applications and societal implications of remote sensing and GIS across natural sciences, social sciences, and contemporary issues.
Utilize diverse geospatial analysis methods, employing remote sensing and GIS technologies, to address quantitative challenges in fields like geography, ecology, environmental science, biogeoscience, urban development, or resource conservation.