University Catalog 2026-2027

EXPLORE PROGRAMSAPPLY

Geospatial Information Science and Technology (MR)

Degree Requirements

Core Courses21
GIS 501
Geospatial Professionalism
GIS 510
Fundamentals of Geospatial Information Science and Technology
GIS 530
Spatial Data Foundations
GIS 540
Geospatial Programming
GIS 550
Geospatial Data Structures and Web Services
GIS 582
Geospatial Modeling
GIS 590
Geospatial Information Science Master's Project
GIS 660
MGIST Professional Portfolio
Elective Courses12
Choose 12 credit hours of electives from the "Elective Courses" listed below, at least 6 of which must be GIS prefix courses
Total Hours33

Elective Courses

Select at least six hours of GIS prefix courses below:6
GIS 511
Coding for Geospatial Applications
GIS 512
Introduction to Environmental Remote Sensing
GIS/NR 514
Geospatial Analytics for Environmental Change
GIS/PA 541
Geographic Information Systems for Public Administration
GIS 545
Participatory Mapping and Modeling
or PA 545
 Administrative Law
GIS 515
Cartographic Design
GIS 517
GIS Applications in Landscape Architecture and Environmental Planning
GIS 520
Geospatial Data Science and Analysis
GIS 535
Web and Mobile GIS Protocols
GIS 495
Special Topics in GIS
GIS 595
Special Topics in Geospatial Information Science
GIS 584
Mapping and Analysis Using UAS
GIS 609
Geospatial Forum
GIS 610
Special Topics in Geospatial Information Science
GIS 630
Independent Study in Geospatial Information Science
SSC 540
Geographic Information Systems (GIS) in Soil Science and Agriculture
BAE 535
Precision Agriculture Technology
BAE 536
GIS Applications in Precision Agriculture
MEA 511
Introduction to Meteorological Remote Sensing
MIE 501
Strategic Management Foundations
HI 535
Spatial History
ITAO 554
Project Management
COM 521
Communication and Globalization
COM 530
Interpersonal Communication in Science and Technology Organizations
ST 501
Fundamentals of Statistical Inference I
ST 502
Fundamentals of Statistical Inference II
ST 511
Statistical Methods For Researchers I
ST 513
Statistics for Management and Social Sciences I
ST 514
Statistics For Management and Social Sciences II
ST 533
Applied Spatial Statistics
ST 555
Statistical Programming I
ST 556
Statistical Programming II
Total Hours6
*

Other courses not listed can be approved as an elective upon consultation with an advisor.

Faculty

Director

Full Professors

  • Sankarasubramanian Arumugam
  • DelWayne R. Bohnenstiehl
  • Thomas J Kwak
  • Yu-Fai Leung
  • Ross Kendall Meentemeyer
  • Helena Mitasova
  • Stacy A. C. Nelson
  • Erin Sills
  • Ranga Vatsavai
  • Karl Wegmann

Associate Professors

  • Joshua Gray
  • Jelena Vukomanovic

Adjunct Associate Professor

  • Frank Koch

Associate Teaching Professors

  • Eric Money
  • Stacy Supak
  • Laura Tateosian

Lecturers

  • Caitlin E. Haedrich
  • Katherine Jones
  • Thomas A. Lake
  • Juliana Regina Quist

Emeritus Faculty

  • Perver Baran
  • Hugh Devine