Skip Navigation

Certificate offered in On-campus and Blended formats.

*On-campus format may require some online classes for degree completion.

Build Skills at the Intersection of GIS and Artificial Intelligence 

Lindenwood University’s GeoAI Certificate combines geospatial intelligence, artificial intelligence, and computer science to prepare students to work with increasingly sophisticated spatial data and technologies. 

This 15-credit-hour undergraduate certificate provides hands-on experience with Python programming, remote sensing, drone technology, and AI-driven spatial data workflows. Students develop practical skills that can be applied across geospatial intelligence, environmental analysis, urban planning, public policy, public health, technology, and other data-driven fields. 

Why Earn a GeoAI Certificate at Lindenwood? 

Learn how artificial intelligence and geospatial technologies can work together to analyze complex spatial information. Students build skills in remote sensing, programming, and advanced GeoAI applications. 

Work with Python, unmanned aerial systems (UAS/drones), remote sensing technologies, and spatial data workflows through applied coursework designed around tools and methods used in professional and research settings. 

The GeoAI Certificate is available to Lindenwood undergraduate students and can complement study in a variety of disciplines. The 15-credit-hour credential allows students to add specialized technical skills to their primary area of study. 

What You’ll Study 

The GeoAI Certificate includes coursework focused on: 

  • Python Programming 
  • Remote Sensing 
  • Drone Technology and Coding 
  • GeoAI 
  • Artificial Intelligence 
  • Spatial Data Analysis 

Students complete 12 credit hours of required certificate coursework and select an additional three credit hour elective in an area such as Applied AI, data analysis, or the Internet of Things.

Where Can GeoAI Skills Take You? 

GeoAI brings together location-based data and artificial intelligence to help organizations recognize patterns, understand environments, and make data-informed decisions. These skills have applications across the public, private, nonprofit, and research sectors. 

Students can apply GeoAI knowledge in areas such as: 

  • Geospatial Intelligence 
  • Environmental Analysis 
  • Urban and Regional Planning 
  • Public Policy 
  • Public Health 
  • Technology 
  • Remote Sensing 
  • Data Analysis 

Frequently Asked Questions

GeoAI, or geospatial artificial intelligence, combines geographic and spatial data with artificial intelligence and computational methods. It can be used to analyze patterns, automate spatial analysis, and generate insights from geographic information. 

The certificate includes an introductory Python programming course as part of its required curriculum, allowing students to develop programming skills alongside their study of remote sensing, drone technology, and GeoAI. 

The 15-credit-hour GeoAI Certificate is available to Lindenwood undergraduate students who want to add geospatial analysis, programming, and artificial intelligence skills to their academic experience. 

Dr. Barbara Hosto-Marti

Department Head
Human Culture and Society

Shenika Harris, Ph.D.

Associate Dean, College of Arts and Humanities