Gallogly College of Engineering

Mewbourne College Of Earth And Energy

College of Atmospheric and Geographic Sciences

Help Map Your Future with Geography and Technology

MASTER OF SCIENCE IN GEOSPATIAL TECHNOLOGies

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Program Overview

The online M.S. in Geospatial Technologies* is a 33-credit program that can be completed in as little as 21 months. This advanced degree prepares students to leverage new technologies to support governmental, environmental, business, and societal decision-making affecting the future of our planet.

Online MS in Sustainable Architecture

100%
online delivery
15
months
to complete
30
credit hours

Admissions Requirements

To apply to the online Master of Science in Geospatial Technologies program, students must hold a bachelor’s degree from a regionally accredited college of university (or the international equivalent). Admissions will occur on a rolling basis and is at the discretion of the admissions committee. Transfer credits will be accepted at the discretion of the admissions committee.

Submit an official transcript from your undergraduate institution and any graduate institution you have attended.

Submit resume: Include professionally formatted documentation of your past education and work experience.
Write and submit a personal statement that includes short responses:
  1. Why does the Geospatial Technologies degree interest you and what do you hope to accomplish by obtaining the degree?
  2. What are your top three educational goals while in the Geospatial Technologies degree?
  3. Going forward, what are your career goals and how will the program help achieve them?

Applicants are encouraged to submit one or more of the following: 

  1. Reference letter
  2. Written paper or report from the past three years
  3. Portfolio of past GIS work (if applicable)

Careers

Earn an online M.S. in Geospatial Technologies at the University of Oklahoma. Our interdisciplinary faculty ensures practical skills aligned with current trends and employer needs for immediate career application.

Program Courses

Required Courses

This course is designed to help students learn introductory to intermediate concepts of geographic information science and become proficient users of geographic information systems. The course covers a variety of topics but focuses on GIS data models, data structures, and spatial analysis. 

This course introduces students to methods of collecting, organizing, and describing data, focusing specifically on environmental and geographical applications through the use of RStudio. Students also learn basic concepts of probability and statistical inference. The overall objective is to develop an understanding of statistical literacy as it is applied to geospatial topics. 

This course is designed to provide solutions to spatial data management through a step-by-step focus on the geospatial data lifecycle. It explores aspatial and spatial database management and analysis, with key focuses on structured query language (SQL), cloud-based data storage and management, web-based tools for data management and analytics, and mobile solutions for data collection.

This course is an introduction to the theory and interpretation of remote sensing imagery, with emphasis on photographic, multi-spectral, thermal, and microwave remote sensing systems. Imagery from aircraft, satellite and low-altitude platforms will be used to illustrate geographic and environmental applications of remote sensing. 

This course is designed to help students learn intermediate and advanced concepts of geographic information science related to a variety of socio-economic and environmental fields. Course topics may include landscape ecology and metrics; suitability modeling; binary and ranking index models; routing and network analysis; and other topics applicable to social or environmental fields. 

This course introduces students to geocomputation concepts, spatial programming skills, and computational approaches to spatial data services and spatial problem-solving using Python. 

This course provides a comprehensive background on the practice of geospatial technologies in geographic and environmental research. Students generate necessary tools for their career, like a resume and portfolio, while practicing communication skills, and exploring employment opportunities in geospatial technology-related fieldsThey also learn how to formulate a research proposal, including literature review, methodology, and consideration of ethics. 

This course will explain and demonstrate methods and techniques in spatial sampling, spatial autocorrelation, and spatial composition utilizing RStudio. It also delves into spatially adjusted regression, local statistics, geo-statistics, and related techniques. Theoretical explanations and derivations as well as practical applications will be presented in the class. 

This course expands and solidifies the GIS knowledge acquired in introductory and applied GIS classes. It focuses on highly complex spatial questions which cannot be solved in simple steps but instead require advanced GIS analysis and automation using programming in R. 

This course presents digital image processing techniques for sUAS (aka drones) derived and related optical imagery. It explores topics such as orthorectification, structure from motion (SfM), image analysis, and accuracy assessments, all in furtherance of geospatial activities.  

Acting as a capstone to the program, this course exposes students to foundational literature in geography and environmental sustainability.  Students also write an original research paper, applying the concepts and techniques acquired in the program.  

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Let geography and technology help map your future

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