Geospatial Intelligence Analytics Graduate Credit Certificate Program

Person-in-ChargeGreg Thomas
Program CodeGEOINT
Campus(es)World Campus
 

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

Admission Requirements

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.

 

Certificate Requirements

Requirements listed here are in addition to requirements listed in Graduate Council policy GCAC-212 Postbaccalaureate Credit Certificate Programs.

Required Courses
GEOG 571Intelligence Analysis, Cultural Geography, and Homeland Security3
GEOG 883Remote Sensing Image Analysis and Applications3
or GEOG 480 Exploring Imagery and Elevation Data in GIS Applications
GEOG 884Geographic Information Systems for the Geospatial Intelligence Professional3
GEOG 594A
GEOG 594B
Culminating Experiences in Geospatial Intelligence
and Geospatial Intelligence Capstone Experience
3
or GEOG 596 Individual Studies
Electives
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
GEOG 488
Advanced Python Programming for GIS
Geospatial System Analysis and Design
Open Web Mapping
Geographical Information Analysis
Analytical Approaches in Spatial Data Science
Special Topics
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
Total Credits15

Courses

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.

Learning Outcomes

  • Combine advanced geospatial information science & technology knowledge and cognitive processes including theories, methodologies, techniques, ethics, and best practices to resolve complicated situations.
  • Integrate professional experience, science, analytics, and the intelligence disciplines to create effective solutions.

Contact

Campus World Campus
Graduate Program Head Gregory A Thomas
Director of Graduate Studies (DGS) or Professor-in-Charge (PIC) Anthony C Robinson
Program Contact

Sue N Spaugh
418 Earth Engr Sciences
University Park PA 16802
sns4@psu.edu
(814) 863-2502

Program Website View