The graduate credit certificate in Geospatial Intelligence Analytics is for geospatial intelligence professionals with experience in Geographic Information Systems and Remote Sensing who are only able to participate part-time and at a distance, while maintaining professional responsibilities. The program promotes sound theory, methodologies, techniques, ethics, and best practices in the professional application of geospatial intelligence. The 15-credit curriculum integrates the geospatial information science and intelligence disciplines in a synergistic manner. The program is well suited for the geospatial intelligence professional serving outside the continental U.S.
Effective Semester: Fall 2018
Expiration Semester: Fall 2023
Applicants apply for admission to the program via the Graduate School application for admission. Requirements listed here are in addition to Graduate Council policies listed under GCAC-300 Admissions Policies. International applicants may be required to satisfy an English proficiency requirement; see GCAC-305 Admission Requirements for International Students for more information.
Requirements listed here are in addition to requirements listed in Graduate Council policy GCAC-212 Postbaccalaureate Credit Certificate Programs.
|GEOG 571||Intelligence Analysis, Cultural Geography, and Homeland Security||3|
|GEOG 883||Remote Sensing Image Analysis and Applications||3|
|or GEOG 480||Exploring Imagery and Elevation Data in GIS Applications|
|GEOG 884||Spatial Data Science and Intelligence Analysis||3|
& GEOG 594B
|Culminating Experiences in Geospatial Intelligence|
and Geospatial Intelligence Capstone Experience
|or GEOG 596||Individual Studies|
|Select at least 3 credits of the following:||3|
|Spatial Data Science for Cyber and Human Social Networks|
|Exploring Imagery and Elevation Data in GIS Applications|
|Topographic Mapping with Lidar|
|Making Maps That Matter With GIS|
|Problem-Solving with GIS|
|GIS Database Development|
|GIS Programming and Software Development|
|Cartography and Visualization|
|Environmental Challenges in Spatial Data Science|
|Advanced Python Programming for GIS|
|Geospatial System Analysis and Design|
|Open Web Mapping|
|Geographical Information Analysis|
|Analytical Approaches in Spatial Data Science|
|Location Intelligence for Business|
|The Earth is Round and Maps are Flat: Working with Spatial Reference Systems in GIS|
|GPS and GNSS for Geospatial Professionals|
|Web Application Development for the Geospatial Professional|
|Remote Sensing Image Analysis and Applications|
|Advanced Analytic Methods in Geospatial Intelligence|
Graduate courses carry numbers from 500 to 699 and 800 to 899. Advanced undergraduate courses numbered between 400 and 499 may be used to meet some graduate degree requirements when taken by graduate students. Courses below the 400 level may not. A graduate student may register for or audit these courses in order to make up deficiencies or to fill in gaps in previous education but not to meet requirements for an advanced degree.
- geospatial information science & technology knowledge and cognitive processes including theories, methodologies, techniques, ethics, and best practices to resolve complicated situations. advanced
- Integrate professional experience, science, analytics, and the intelligence disciplines to create effective solutions.
|Graduate Program Head||Gregory A Thomas|
|Director of Graduate Studies (DGS) or Professor-in-Charge (PIC)||Anthony C Robinson|
JULENE A. SANTIAGO