Master of Science in Geospatial Sciences


The Master of Science degree in Geospatial Sciences is the first of its kind in Southeast Texas. Our program will provide education in all key areas of geospatial technologies most relevant to the contemporary workplace, including computer-based geographic information systems, remote sensing techniques, Drone technology, digital image processing, spatial analysis and modeling, global positioning systems and data science in the big data era. Students in the program will be given practical experience in the application of state-of-the-art geospatial-based systems to a wide range of real-world programs. 

The field of geospatial sciences has become an integral aspect for supporting decision making in a variety of fields such as physical and environmental sciences, urban planning and management, political science, civil engineering, economy, business, real estate, education administration and health care.

Interested in Applying?

Our master's program in geospatial sciences is open to all students in any discipline. If you wish to pursue a master's degree in geospatial sciences at Lamar University, you must have a bachelor's degree from an accredited institution and must meet the admission standards of the College of Graduate Studies. 

The program is delivered through a combination of face-to-face and online instruction.


The program will include a 30-credit hour thesis-based option or a 36-credit hour non-thesis option. The curriculum is designed to train individuals to work in any sector of geospatial sciences and to offer you the combination of technical training, critical thinking skills and the ethical framework necessary to be effective geospatial analysts. 

GEOL 5311: Principles of GIS (3 credits): This course is designed to provide you with an applied understanding of the concepts and theory behind GIS including spatial data structures, data sources and transfer methods, as well as fundamental of spatial analysis techniques such as overlay, extraction, and interpolation. The culmination of the course is the presentation of your research project employing the methods learned.

GEOL 5312: Advanced GIS Analysis and Applications (3 credits): This course is designed to advance your knowledge in the rapidly developing field of GIS. This course is built on the techniques learned in the GEOL 5311. You will gain skills and knowledge of design, planning and error within GIS data management, analytical decision-making techniques and advanced spatial and statistical analysis. You will gain deep understanding of the potential value of GIS through lectures, exercises and research projects. 

GEOL 5313: Geospatial Research Project (3 credits): This course is designed to advance your knowledge to design, manage and complete a research project that emphasizes the use of GIS. This course is built on the techniques learned in the GEOL 5311. You will work on your own project. You will agree with the instructor on a suitable problem and then solve it by acquiring, organizing and analyzing data using a GIS. 

GEOL 5314: Principles of Remote Sensing (3 credits): Remote sensing is a rapidly evolving science and technology with numerous contributions to the Earth, environmental and ocean sciences, such as monitoring of natural hazards including droughts, floods, landslides, volcanic eruptions, earthquakes and forest fires. This course introduces you to the principles of remote sensing with its wide applications in the Earth and environmental sciences. 

GEOL 5316: Remote Sensing Data and Applications (3 credits): Continued advancements in remote sensing technologies have resulted in an extraordinary increase in the availability of remotely sensed data of Earth. This course is built on the techniques learned in GEOL 5314 by exposing you to more image processing and analysis for different environmental applications. You will use the multispectral, hyperspectral, thermal, Radar and LiDAR data.

GEOL 5301:ST: Drone Photogrammetry and Applications (3 credits): This course is designed to help you learn about drone aerial photography, geospatial data processing and analysis for geological and environmental mapping. You will learn how to fly a drone, conduct a drone survey, process data using PIX4D, ENVI and ArcGIS software. This course will prepare you to obtain the FAA Drone Pilot license.

GEOL 5301:ST: Independent Study (3 credits): You will use GIS and geospatial techniques in a research project with the guidance of a graduate faculty from any department. You are required to discuss your project work with the Director of the master’s program, Dr. Reda Amer. The director’s approval is required to register for the “Independent Study."

GEOL 5301:ST: Seminar in Geospatial Sciences: The seminar series will be a forum for you to dispense and gain insight into the current and cutting-edge activities in Geospatial Sciences, GIS, Remote Sensing and Drone Photogrammetry. To meet these expectations, you will be required to research a current topic of the published papers, write an abstract that relates a general synopsis of the research paper, develop a presentation around the findings and provide a presentation. 

GEOL 5303: Advanced GPS Methods and Applications (3 credits): This course is designed for you to demonstrate a clear understanding of the GPS signal, codes and biases, describe the differences between relative and autonomous GPS positioning, code phase carrier phase, DGPS and RTK. You will learn the practical applications of GPS and the implications of its modernization. 

CVEN 5370: GIS Applications in Engineering (3 credits): The course is designed to help you understand the knowledge of GIS and how it can be applied in the fields of engineering. In this course, you are expected to: 1) understand the basic theory of GIS; 2) understand the basic theory of relation database; 3) understand and operate a database through the SQL language. All lectures will be based on a real database.

COSC 5311: Data Mining (3 credits): Introduction to basic concepts behind data mining. A survey of data mining applications, techniques and models. Topics may include decision tables, classification rules, association rules, clustering, statistical and linear models.

COSC 5340: Advanced Data Science and Big Data Analysis (3 credits): This course is designed to help you analyze data using advanced data science and technology, compare and evaluate the effectiveness of various data science techniques for real-world applications and design and develop projects using popular programming languages.

GEOL 5398: Thesis (6 credits); ONLY for Thesis-based option: A thesis course is an independent research course in which you conduct Thesis research with the guidance of the thesis advisor.