

The Master of Science in CyberGIS and Geospatial Data Science is a two year full time program designed for students who want to specialize in spatial data analysis, geographic information systems, and computational modeling. The curriculum combines theoretical knowledge with applied data science techniques, enabling learners to manage, visualize, and analyze geospatial data to support decision making in urban planning, environmental management, and public policy. Students gain expertise in geospatial analytics, cyberinfrastructure, data modeling, and programming for GIS, equipping them to develop innovative solutions for complex spatial challenges. The program emphasizes both computational skills and applied research, preparing graduates to contribute to the rapidly evolving field of geospatial data science.
The program encourages interdisciplinary learning by integrating GIS with computer science, environmental studies, and data visualization. Students participate in laboratory exercises, collaborative projects, research assignments, and applied modeling guided by experienced faculty. Access to high performance computing resources, GIS software, and professional networks enhances both technical proficiency and theoretical understanding. By the end of the program, graduates develop competencies in spatial data management, advanced geospatial modeling, data driven decision making, and scientific communication, positioning them for careers in geospatial technology, urban planning, and environmental consulting.
Year 1 - Foundations in CyberGIS and Geospatial Data Science
• Geographic Information Systems Fundamentals
• Spatial Data Analysis and Visualization
• Programming for Geospatial Applications
• Research Methods in Geospatial Science
Year 2 - Advanced Applications in CyberGIS and Geospatial Data Science
• CyberGIS Infrastructure and High Performance Computing
• Geospatial Modeling and Simulation
• Applied GIS Projects and Data Integration
• Independent Research Project or Professional Portfolio
Graduates of this program are prepared for professional roles in geospatial technology, urban and environmental planning, research institutions, and government agencies. Many work as GIS analysts, data scientists, spatial modelers, and environmental consultants, managing spatial data, performing advanced analysis, and supporting evidence based decision making. Additional opportunities exist in smart city projects, climate research, disaster management, and geospatial software development. The program’s emphasis on applied GIS skills, computational modeling, and interdisciplinary expertise equips graduates to innovate in geospatial data science and contribute to critical spatial analysis initiatives.
Students choose this program because it integrates geospatial analytics, cyberinfrastructure expertise, applied data science skills, and research project experience, providing a strong foundation for careers in GIS and spatial data science. The curriculum emphasizes hands on modeling, computational problem solving, and interdisciplinary collaboration while fostering analytical thinking and technical innovation. With guidance from experienced faculty, access to advanced computing resources, and opportunities for applied projects, students strengthen both technical competence and professional insight. This program is particularly appealing to individuals who aim to develop advanced geospatial solutions, conduct applied spatial research, implement data driven strategies, and contribute to innovation in environmental, urban, and policy applications.
For further information, please contact the graduate admissions office at:
Phone: 217-333-0035
Email: grad@illinois.edu
Address: The Graduate College, 507 East Green Street, Suite 101, MC-434, Champaign, IL 61820, United States