The program uses specially-designed online versions of our GIS courses to teach the fundamentals of geospatial technology while focusing on real-world applications. The Department of Geography offers ...

You, too, can investigate and apply the powerful tool of Python in this non-credit professional development course. Overview of the Python for Modern GIS and Remote Sensing This noncredit, online, ...

Whether you're seeking to improve your technical skill set or looking to advance your geographical problem-solving and spatial thinking, the Department of Geography and Spatial Sciences has a variety ...

Certificates in GIS and remote sensing give you pathways for adding geospatial skills to your major. Each certificate requires 9-10 credits (usually 3 courses) of core and elective courses. Geospatial ...

The 15-credit online graduate certificate in GIS provides advanced rigorous training in the core of geospatial science at your own pace. Graduate students from across graduate disciplines can apply ...

The B.S. degree requires credits in GIS, math and computer science in addition to core courses in the College of Arts and Sciences. Department of Earth, Atmospheric, and Geospatial Science faculty ...

The GIS certificate is an 18-credit program that students can pursue on a full- or part-time basis, usually completing the certificate in less than two years. Courses cover the latest image-processing ...

This course is to introduce students to the basic concepts of Geographic Information Systems (GIS) and GIS applications in Civil and Environmental Engineering. Topics to be covered include GIS data ...

Explore how Blue Marble GIS software integrates cloud computing and AI-driven tools to enhance geospatial data processing and analysis.

This course is taught online so you can study where you want, when you want. This module introduces the theory and practice of Geographic Information Systems, and is intended to provide an ...

Integration of spatial statistical software with GIS. Introduction to appropriate spatial statistics techniques including kernel smoothing, kriging, point processes and spatially correlated areal data ...