Geospatial Information Science and Technology (MR)
Apply NowDegree Requirements
| Code | Title | Hours | Counts towards |
|---|---|---|---|
| Core Courses | 21 | ||
| Geospatial Professionalism | |||
| Fundamentals of Geospatial Information Science and Technology | |||
| Spatial Data Foundations | |||
| Geospatial Programming Fundamentals | |||
| Geospatial Data Structures and Web Services | |||
| Geospatial Modeling | |||
| Geospatial Information Science Master's Project | |||
| MGIST Professional Portfolio | |||
| Elective Courses | 12 | ||
| Choose 12 credit hours of electives from the "Elective Courses" listed below, at least 6 of which must be GIS prefix courses | |||
| Total Hours | 33 | ||
Elective Courses
| Code | Title | Hours | Counts towards |
|---|---|---|---|
| Select at least six hours of GIS prefix courses below: | 6 | ||
| Introduction to Environmental Remote Sensing | |||
| Cartographic Design | |||
| GIS Applications in Landscape Architecture and Environmental Planning | |||
| Spatial Problem Solving | |||
| Surface Water Hydrology with GIS | |||
| Geospatial Data Science and Analysis | |||
| Web and Mobile GIS Protocols | |||
| Special Topics in Geospatial Information Science | |||
| Mapping and Analysis Using UAS | |||
| Geospatial Forum | |||
| Special Topics in Geospatial Information Science | |||
| Independent Study in Geospatial Information Science | |||
| Geographic Information Systems (GIS) in Soil Science and Agriculture | |||
| Remote Sensing Applications in Soil Science and Agriculture | |||
| Precision Agriculture Technology | |||
| GIS Applications in Precision Agriculture | |||
| Introduction to Meteorological Remote Sensing | |||
| Spatial History | |||
| Strategic Management Foundations | |||
| Project Management | |||
| Communication and Globalization | |||
| Interpersonal Communication in Science and Technology Organizations | |||
| Fundamentals of Statistical Inference I | |||
| Fundamentals of Statistical Inference II | |||
| Statistical Methods For Researchers I | |||
| Statistics for Management and Social Sciences I | |||
| Statistics For Management and Social Sciences II | |||
| Applied Spatial Statistics | |||
| Statistical Programming I | |||
| Statistical Programming II | |||
| Total Hours | 6 | ||
| * | Other courses not listed can be approved as an elective upon consultation with an advisor. |
Faculty
Full Professors
- Sankarasubramanian Arumugam
- DelWayne R. Bohnenstiehl
- David A. Crouse
- George D. Garson
- Christopher Graham Healey
- Ronnie William Heiniger
- George R. Hess
- Hamid Krim
- Thomas J Kwak
- Duane K. Larick
- Yu-Fai Leung
- Jay Frederick Levine
- Ross Kendall Meentemeyer
- Helena Mitasova
- Stacy A. C. Nelson
- Margery Frances Overton
- William John Rasdorf
- Gary T. Roberson
- Sandra E. Yuter
Associate Professors
- William R. Smith
- Ranga Raju Vatsavai
- Karl William Wegmann
- Jeffrey G. White
- Stephen B. Wiley
Assistant Professors
- Jelena Vukomanovic
Practice/Research/Teaching Professors
- Perver Korca Baran
- Eric Shane Money
- Stacy Kathleen Supak
- Laura Gray Tateosian
- Vaishnavi Thakar