The degree consists of 32 credits (eight courses) 3 core courses and 5 elective courses that are chosen in consultation with the student’s advisor.
Core Courses (3 courses)
- EE 501 Advanced Topics in Remote Sensing
- EE 505 Geographic Information Systems (GIS)
- EE 509 Applied Environmental Statistics or EE 516 Multivariate Analysis for Geographers or MA 614 Statistical Methods*
Electives (5 courses)
- EE 503 Micrometeorology: Energy & Mass Transfer at the Earth’s Surface
- EE 504 Physical Climatology
- EE 509 Applied Environmental Statistics
- EE 516 Multivariate Analysis for Geographers
- EE 529 Modeling & Monitoring Terrestrial Ecosystem Processes
- EE 585 Ecological Forecasting & Informatics
- EE 622 Aquatic Optics & Remote Sensing
- EE 644 Digital Image Processing in Remote Sensing
- EE 645 Physical Models of Remote Sensing
- EE 646 Remote Sensing of the Lower Atmosphere
- EE 648 Remote Sensing of Vegetation
- EE 805 Spatial Data Analysis Using GIS
- EE 840 Advanced Topics in Remote Sensing
- GE 845 Advanced Topics in Geographic Information Systems
- CS 521 Information Structures with Python
Substitutions are permitted.
*Courses taken to fulfill statistical methods requirements cannot be double counted as electives.
Back to the MS in Remote Sensing & Geospatial Sciences