Master of Science in Geospatial Analysis

Master of Science in Geospatial Analysis Course Offerings

Master of Science in Geospatial Analysis course offerings will be found under the 4 letter code of MSGA in the course listings.  

510 – Spatial Thinking (4)

Laboratory.  Students will learn to identify, explain, and find meaning in spatial patterns and relationships, such as site conditions, how places are similar and different, the influence of a land feature on its neighbors, the natures of transitions between places, how places are linked at local, regional, and/or global scales.  Through readings, discussions, and weekly laboratory assignments, students will learn how to frame research questions and engage with relevant literatures to create research designs appropriate for GIS.

520 – GeoDesign and Geovisualization (4)

Laboratory. This course will require students to integrate a variety of theories concerning the nature and uses of maps and geographic information with technical practice in cartographic design and geovisualization.  Laboratory will meet weekly; assignments will be weekly or bi-weekly.

540 – Modeling and Spatial Statistics (4)

Laboratory.  This course focuses on the application of statistics and spatial models in GIS.  It will cover concepts of quantitative methods, the use of statistical procedures in problem solving, and applications of quantitative methods and spatial analysis throughout a series of geographic problems.  Weekly laboratory assignments will provide practical experience.  Topics include: point pattern analysis, areal data analysis, MAUP, gravity models, spatial autocorrelation, geostatistics (i.e., variograms and kriging) and network analysis.

550 – Remote Sensing and Digital Imagery (4)

Laboratory. This course is focused on the analysis of remotely sensed images with an emphasis on the use of satellite imagery and digital processing techniques in geographical research.  This course is designed for early graduate students or advanced undergraduates who are interested in pursuing careers or scientific work in the remote sensing or geospatial technology fields.  Practical applications of digital image analysis will be provided in weekly laboratories.

570 – Geospatial Intelligence (4)

Laboratory.  This course will focus on the acquisition, methodologies, analysis, presentation and reporting of imagery and mapping data referencing activities on the earth with a focus on intelligence.  Due to data availability and breadth of subject, non-military applications of the geospatial intelligence approach will be stressed.  Topics may include food security, environmental and health risks, urban planning, and crime (including terrorism) analysis.  Laboratory will meet weekly; assignments will be weekly or bi-weekly.

580 – Geospatial Data and Services on the Web (4)

Laboratory. In this course, students will acquire the knowledge needed to share GIS content on the Web or across the enterprise using relevant programming techniques.  The course will focus on workflows to publish maps, imagery, geoprocessing models, and feature templates for using Web applications that support visualization, analysis, and editing of GIS resources.  Laboratory will meet weekly; assignments will be weekly or bi-weekly.

591 – Independent Study (4)

With permission from the director of the GIS program, this course may substitute for MSGA 550 or 580.  Students will work with a faculty member to create a set of readings and assignments culminating in a project equivalent to those assigned in the course which they are substituting.  Application of appropriate geospatial technologies using the computer laboratory is expected.

595 – Capstone Project (1-6)

Prerequisite: Completion of 510 and 520; minimum GPA of 3.0 and approval of the faculty advisor.  Final 3 credits must be taken in the last semester of the program. An intensive independent research project utilizing theories, methods, and techniques acquired in the program.