Geographic Information Science Certificate

Geographic Information Science Certificate

Level:

Certificate

Credits required:

12 credits

Cost per credit:

$488

Next start date:

May 6, 2024

About This Program

Utah State University’s online Geographic Information Science (GIS) certificate is designed for graduate students or professionals wanting skills and experience applying industry standard GIS and remote sensing tools to natural resource issues.

Students who complete the program will receive a graduate-level certificate in Geographic Information Science. Their USU transcript will list the courses and grades received to complete the program. The certificate is complementary to a wide variety of graduate programs, and is available as a standalone certificate. However, credits obtained from the certificate may be applied toward a graduate degree.

The First Step is a Conversation. Talk to Leslie.

Leslie Gonzalez

Leslie Gonzalez

Program Coordinator
435-797-1731
leslie.gonzalez@usu.edu

College: College of Natural Resources

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Geographic Information Systems Curriculum Preview

 

This course is designed for graduate students who need an introduction to GIS software and applications. Students will learn how to acquire geospatial data from various web sources as well as develop an understanding of how spatial data is created and collected in the field. 

This course teaches students the basics of the Python programming language and its use with ArcGIS. Students are also introduced to a few open source Python modules that are useful for working with GIS data. 

This course is an introduction to the fundamental concepts and basic skills necessary for using remote sensing data, with particular focus on natural resources data, including vegetation and habitat classification, soil mapping and land use/land cover. 

In this course, students consider what an increasingly democratic GIS might look like. They gain hands-on experience with tools and theories that aim to make GIS a more inclusive technology by working with spatial data in the open-source programming language R.