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Program Overview


Graduate Programs in Geospatial Intelligence provides workforce-focused training in cutting-edge topics in geospatial intelligence, geographic information science, remote sensing, and data science in the big data era to a new population seeking employment and skills in the defense and security industry. The program focuses on applied problem-sets, analysis schemes, big geospatial datasets, and software platforms that characterize today’s geospatial intelligence. Graduates acquire the skills and expertise to lead new initiatives in the rapidly shifting landscape of GEOINT applications, data collection systems, analytic methods, and mission support.

Graduate Programs in Geospatial Intelligence includes a Master of Science and Graduate Certificate. The program welcomes full-time or part-time study. Students who successfully complete requirements for the Graduate Certificate may apply these credits towards the Master of Science if the student applies and is admitted.

  • The Master of Science in Geospatial Intelligence (MS-Geospatial Intelligence) is a 30-credit graduate program designed to be completed in fifteen months of continuous enrollment while minimally disrupting personal and professional life. The program provides state-of-the-art training in the geospatial technologies (e.g., web mapping, mobile applications, geospatial programming), geographical knowledge (e.g., geostatistics, geospatial networks, spatial reasoning), and scientific methods to address issues of public administration and policy analysis; public safety; criminology; military intelligence; emergency response and preparedness; project and workflow management; environmental applications; urban studies and regional sciences; and transportation geography. The MS-Geospatial Intelligence provides students with the knowledge and practical skills in geographic information science & technology (GIS&T), remote sensing, mapping and geo-visualization, computer programming to tackle geospatial intelligence problems such as pattern recognition and feature extraction, big geospatial computing, developing source-to-screen workflows, and communicating uncertainty to decision-makers. These skills range from project design, data collection and interoperation, software development, algorithm implementation, data-mining, analytic processing and management, visualizing results and reporting. Technical skills are closely intertwined with substantive topics in a range of applied geospatial intelligence contexts, from defense and homeland security to humanitarian response and emergency management.
  • The Graduate Certificate in Geospatial Intelligence (GC-Geospatial Intelligence) is a 15-credit graduate program graduate program designed to be completed in fifteen months of continuous enrollment. The program provides a well‐rounded understanding of the fundamental nature of geospatial intelligence and analysis, including the core theory, methods, and protocols for gathering and management of geospatial intelligence data, analyses and visualization of those data, use of the resulting products in operational settings for applied geospatial intelligence, and the ethical treatment of data and analysis throughout those procedures.

Graduate Programs in Geospatial Intelligence offers two learning options: in-person or 100% online. The in-person option features traditional, seminar-style, instruction. Classes meet in UMD College Park campus classrooms, offering a focused, distraction-free learning environment. The 100% online option uses UMD’s online learning environment to deliver content through easy-to-use web-based technology that supports engaging and interactive learning.

Instruction is provided by university faculty and experts in the field. The program uses the term academic calendar with classes held in 12-week terms: I (fall), II (winter), III (spring), IV (summer).

Academic Program Director Contact Information

Graduate Programs in Geospatial Intelligence is offered through the Department of Geographical Sciences in the College of Behavioral and Social Sciences. For additional information, visit:

Students with specific academic questions may contact:

Professor Ruibo Han
Department of Geographical Sciences
College of Behavioral and Social Sciences
1111B LeFrak Hall
7251 Preinkert Drive
University of Maryland
College Park, MD 20742-8225

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