Modalities
Online (synchronous)
Graduate Certificate in Geospatial Data Science
This STEM-designated certificate is provides a comprehensive foundation in spatial data science, analytics, and programming, tailored for professionals and recent graduates aiming to leverage GIS in their fields and advance their careers.
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
Classes you'll take
To view specific classes, program requirements, and coursework information, further information will be posted to the university catalog at a later date.
Introduction to GIS & Esri Training
Further details will be provided soon.
GISC 610: Geospatial Data Science Foundation
This course introduces foundational skills in spatial data science, covering data preparation, visualization, and essential spatial analysis methods like suitability modeling, patten analysis, space-time analysis, and interpolation. Students will gain both theoretical foundation and practical experience in core techniques critical to geospatial data analytics.
GISC 615: Programming for Geospatial Analysis
The growing availability of geospatial data creates a demand for professionals skilled in managing and analyzing spatial information. This course offers a structured, hands-on approach to spatial data science, focusing on real-world applications. Students will build a strong foundation in spatial analysis by mastering spatial databases, Python-based geospatial libraries, and SQL queries. These skills are highly applicable across diverse fields, including business analytics, public policy, and scientific research.
By leveraging Python and SQL, students will gain spatial data handling, querying, and visualization expertise. The course covers essential techniques such as spatial joins, distance calculations, and spatial indexing, enabling students to analyze geographic patterns effectively. Through applied learning, participants will develop practical problem-solving skills and be prepared for the new demands of the market.
GISC 620: Geospatial Predictive Analytics and Data Mining
This course introduces students to key concepts and techniques in geospatial data predictive analytics and data mining, with a strong emphasis on hands-on applications using ArcGIS. Students will explore real-world spatial datasets through methods such as exploratory data analysis, classification and regression modeling, clustering and analysis spatio-temporal analysis, and graph analysis. The course is designed to develop practical skills in identifying spatial patterns, building predictive models, and making data-driven decisions in a geographic context.
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.
Graduate application deadlines
Fall Term
Priority 1 Deadline: January 15 — Priority 2 Deadline: June 1
Spring Term
Priority 1 Deadline: October 1 — Priority 2 Deadline: December 1
Note
Most graduate program applications are reviewed on a rolling basis. Applications submitted after the Priority 2 deadline will be reviewed based upon program capacity.
Program structure
Modalities
Online (synchronous)
Classes
3
Credits
12
Program Length
6 months, 8 week courses
Features
STEM-designated
GIS Public Safety Certificate At-A-Glance
Guaranteed Classes
Meet 1 night a week
Program Length
6 months, 8 week courses, 12 credits
Features
STEM-designated
Designed for
Both experienced and beginner learners in achieving proficiency in geospatial data science
Career Opportunities
GIS Analyst/Specialist, Geospatial Data Scientist, Urban Planner, Environmental Scientist, Public Health Analyst, and more
Want to know more?
Get in touch with our admissions team.
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