Designed in partnership with Esri

The Graduate Certificate in Geospatial Data Science is designed for both experienced and beginner learners in achieving proficiency in geospatial data science.

Students will explore core principles of spatial data visualization and analysis while building a strong foundation in machine learning and big data analytics. They will gain hands-on experience integrating programming into geospatial workflows to support automation, pattern detection, and spatial modeling.

Upon completion, students will be prepared to address complex spatial challenges across sectors like environmental management, urban planning, and public health, using GIS tools to drive impactful, data-informed decisions.

Delivered fully online, this program emphasizes hands-on learning and practical application through collaboration with Esri, the global leader in GIS technology.

Learn from the experts

The Geospatial Data Science Certificate is designed for two audiences:

• The first group includes professionals and recent graduates with a background in GIS who seek to advance their skills in spatial data analytics and programming. These participants will benefit from an in-depth exploration of advanced geospatial techniques, enabling them to apply cutting-edge tools and methodologies in their fields.
• The second group comprises individuals with limited knowledge of GIS who are interested in developing foundational skills in geospatial science. For this segment, the certificate offers preparatory options, including an introductory GIS course and Esri instructor-led training resources to ensure they are equipped to engage with the core curriculum.

This dual approach supports both experienced and beginner learners in achieving proficiency in geospatial data science.

Gain cutting-edge spatial skills

• Extensive interactions with instructors and peers in online synchronous class sessions
• Courses designed and taught by full-time faculty and experienced adjunct faculty from Esri®
• Earn credits applicable toward a masters degree
• Expand your professional network

Learning outcomes

Upon completion, students will:

• Master foundational knowledge in spatial data preparation, visualization, and analysis, enabling them to conduct core spatial operations such as suitability modeling, spatial pattern analysis, and spatial interpolation.
• Gain an understanding of spatial predictive analytics and big data mining techniques, equipping them with skills to incorporate machine learning and AI-driven insights into geospatial projects.
• Learn to automate spatial workflows using Python scripts, enhancing their ability to perform complex spatial analyses efficiently and at scale.