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Geographic Information Science, M.S.

  1. Graduates will be able to define geographic information science in terms of its key scientific themes and fields of application.
  2. Graduates will be able to discuss how GIS and remote sensing are used to investigate problems related to sustainability and environmental science.
  3. Graduates will be able to demonstrate effective written and oral communication skills needed to disseminate geographic information.
  4. Graduates will be able to apply appropriate research design methods to address problems that are germane to the field of GIScience and applied geospatial analysis.
  5. Graduates will be able to demonstrate practices and approaches for working effectively on team-based projects.
  6. Graduates will be able to demonstrate effective cartographic/geovisualization skills employing principles of map design and graphic representation techniques.
  7. Graduates will be able to demonstrate knowledge of geospatial data in terms of Earth geometry, georeferencing systems, map projections, data quality and metadata standards and practice.
  8. Graduates will be able to compare and contrast different approaches to geospatial data modeling involving vector, raster or hybrid representations.
  9. Graduates will be able to demonstrate the use of relational database management systems as applied to geospatial data.
  10. Graduates will be able to apply geometric measurement techniques to quantify distance, direction, shape, area, proximity and connectivity of geospatial features.
  11. Graduates will be able to apply basic analytical operations involving buffering, overlays and map algebra.
  12. Graduates will be able to apply advanced analytical methods including point-pattern analysis, kernel-density estimation, spatial-cluster detection, network analysis and multicriteria evaluation.
  13. Graduates will be able to apply surface analysis techniques to effectively represent continuous surfaces, calculate surface derivatives, analyze surface flow and analyze intervisibility.
  14. Graduates will be able to apply spatial statistics and geostatistics involving measures of spatial autocorrelation and spatial interpolation techniques.
  15. Graduates will be able to explain the principles of active and passive remote sensing observation.
  16. Graduates will be able to describe and interpret remote sensing spectra and imagery.
  17. Graduates will be able to perform supervised, unsupervised and object-based classification techniques using remote sensing data.
  18. Graduates will be able to apply image processing techniques including radiometric correction, atmospheric correction, change detection, target detection and data fusion.
GIS 5010Introduction to Geographic Information Systems3
GIS 5030Geospatial Data Management3
GIS 5040Introduction to Remote Sensing3
GIS 5050Digital Image Processing3
GIS 5080Digital Cartography and Geovisualization3
GIS 5090Introduction to Programming for GIS and Remote Sensing3
GIS Electives12
Select four from the following:
Thesis track students should take 6 credits of GIS 5990 Thesis Research to replace 6 credits of GIS Electives
BIOL 5190
Geographic Information Systems in Biology
CSCI 5750
Introduction to Machine Learning
CSCI 5760
Deep Learning
CSCI 5830
Computer Vision
ECE 5153
Image Processing
GIS 5061
Photogrammetry
GIS 5091
Advanced Programming for GIS and Remote Sensing
GIS 5092
Machine Learning for GIS and Remote Sensing
GIS 5100
Microwave Remote Sensing: SAR Principles, Data Processing and Applications
GIS 5110
Interferometric Synthetic Aperture Radar (InSAR)
GIS 5120
Geospatial Analytics
GIS 5130
Human Geography
GIS 5140
Satellite Geodesy
GIS 5990
Thesis Research (Only for Thesis students, 6 hours required)
SOC 5640
Demographic Methods, Analysis, and Public Policy
SOC 5670
Spatial Demography – Applied Spatial Statistics
Total Credits30

Continuation Standards

Students must maintain a cumulative grade point average (GPA) of 3.00 in all graduate/professional courses.

Thesis Track Requirements

Completion of 30 total credit-hours, with six credits (2 x 3 credit hours) of Thesis Research (GIS 5990) to be taken during year two. Thesis Research credits substitute for two of the GIS Electives above. Thesis Track students must also successfully complete a Master’s Prospectus/Proposal, a Thesis, and Thesis Defense.

Roadmaps are recommended semester-by-semester plans of study for programs and assume full-time enrollment unless otherwise noted.  

Courses and milestones designated as critical (marked with !) must be completed in the semester listed to ensure a timely graduation. Transfer credit may change the roadmap.

This roadmap should not be used in the place of regular academic advising appointments. All students are encouraged to meet with their advisor/mentor each semester. Requirements, course availability and sequencing are subject to change.

Full-time Student (One Year)

Plan of Study Grid
Year One
FallCredits
GIS 5010 Introduction to Geographic Information Systems 3
GIS 5040 Introduction to Remote Sensing 3
GIS 5090 Introduction to Programming for GIS and Remote Sensing 3
GIS Elective 6
 Credits15
Spring
GIS 5030 Geospatial Data Management 3
GIS 5080 Digital Cartography and Geovisualization 3
GIS 5050 Digital Image Processing 3
GIS Elective 6
 Credits15
 Total Credits30

Part-time Student (Two Years)

Plan of Study Grid
Year One
FallCredits
GIS 5010 Introduction to Geographic Information Systems 3
GIS 5090 Introduction to Programming for GIS and Remote Sensing 3
 Credits6
Spring
GIS 5030 Geospatial Data Management 3
GIS 5080 Digital Cartography and Geovisualization 3
 Credits6
Summer
GIS Elective 3
 Credits3
Year Two
Fall
GIS 5040 Introduction to Remote Sensing 3
GIS Elective 3
 Credits6
Spring
GIS 5050 Digital Image Processing 3
GIS Elective 3
 Credits6
Summer
GIS Elective 3
 Credits3
 Total Credits30

For more information about our program, please contact eegsgrad@slu.edu.