CyberGIS – a new generation of geographic information science and systems (GIS) in the era of artificial intelligence and big data – represents the latest innovative development in the fast-growing field of geospatial data science. Combining advances in high-performance and data-intensive computing with developments in geospatial data analysis, management, processing, and visualization, cyberGIS has rapidly emerged as a major force in private and public organizations and in higher education for harnessing the rapid geospatial data revolution.
Join us remotely and earn a graduate-level certificate or M.S. degree in CyberGIS and Geospatial Data Science at Illinois! Take the next steps in your professional journey and advance your applied expertise in cutting edge geospatial technologies to solve industry problems, including:
- Geospatial artificial intelligence and machine leaning techniques
- Geospatial visualization and visual analytics using open source tools
- High performance and data intensive computation using big geospatial data
- Cutting edge geospatial data processing and analysis in Python and R
- Fundamentals and principles of geographic information science and CyberGIS
The 32-credit master's degree and 12-credit graduate-level certificate in CyberGIS & Geospatial Data Science are both designed to meet the high demand for these skills across many industries. Both the online certificate and master's degree programs will allow students and industry professionals to successfully advance their careers.
Program Contacts:
Online Graduate Programs Adviser (Certificate and M.S.): Dr. Anand Padmanabhan
SESE Online Programs Coordinator: Heather Miller
Certificate Coursework
You can earn the online graduate-level certificate by completing three (3) of the following five courses, for a total of 12-credit hours. Please click on each course to read its description in the course explorer and to check if seats are available. These courses are not restricted to online certificate students only. Once admitted to the certificate program, students should consult a program adviser regarding course selection/sequencing based upon their particular area of interest and desired professional goals.
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GGIS 403: Geographic Information Science and Systems
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GGIS 407: Foundations of CyberGIS & Geospatial Data Science
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GGIS 507: High-Performance Geospatial Computing
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GGIS 517: Geospatial Visualization & Visual Analytics
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GGIS 527: Geospatial Artificial Intelligence and Machine Learning
- GGIS 570: Advanced Spatial Analysis
Master's Degree Coursework
Students will take courses online for the Master's Degree, completing 32-credit hours. Students typically complete this program in approximately two to three years, while maintaining their professional and personal obligations. The capstone project experience is this program’s version of a master’s thesis which is 4 to 8 credits of the program requirement. Students will design and create their “capstone research project” which will utilize all of the skills, knowledge, and expertise gained though taking courses in the CyberGIS and Geospatial Data Science Program. This will allow students to apply those skills towards their own personal interests in an advanced geospatial problem or for developing a GIS-based application with guidance from a faculty member.
Courses include:
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GGIS 403: Geographic Information Science and Systems
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GGIS 407: Foundations of CyberGIS & Geospatial Data Science
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GGIS 477: Introduction to Remote Sensing
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GGIS 480: Principles of Geographic Information Science
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GGIS 507: High-Performance Geospatial Computing
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GGIS 517: Geospatial Visualization & Visual Analytics
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GGIS 527: Geospatial Artificial Intelligence & Machine Learning
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GGIS 598: Graduate Capstone Project
Prerequisites for the Certificate and Master's Degrees
- Bachelor of Science degree (ideally in Geography, GIS, Computer Science, or Information Science) from an accredited college in the United States or an approved international institution of higher education.
- GPA of 3.0/4.0 or higher for the last 60 semester hours of their Bachelor of Science program. Students who do not meet the 3.0/4.0 GPA criterion may still be eligible to enroll if they have significant experience outside of the classroom. Such students are encouraged to complete this interest form and/or contact the Online Programs Faculty Adviser, Dr. Anand Padmanabhan at apadmana@illinois.edu.