Program Requirements


Students not already enrolled at the University of Miami are expected to have an undergraduate GPA of 2.5 or higher. A GRE score is not required, but a score of 300 or higher on the GRE can supplement an application in instances where the GPA is below the 2.5 minimum. International Students must meet Admissions Office and Homeland Security requirements. Non-UM students should contact before applying.

To apply to the Geospatial Technology Certificate Program, please submit the following materials:

  1. Completed application
  2. Official undergraduate transcript (GPA of at least 2.5)
  3. 1-2 page statement of interest, listing relevant professional experience, if applicable
  4. TOEFL for international students


The Certificate requires 15 credits, including three core courses and two or more electives. Students may receive credit toward the Certificate for past coursework completed at UM or other accredited schools.


GIS I (GEG 691) - Conceptual overview of GIS technology, introducing key elements such as projection systems, datums, data models, and analytical methods such as overlays.

Remote Sensing of the Environment (GEG 692) - Survey of satellite imaging technologies and basic image processing techniques. Special emphasis is paid to optical and SAR satellite imagery for land cover applications.

GIS II (GEG 693) - Review of coordinate and projection systems used to relate satellite and image data to standard coordinate systems, Advanced concepts of analysis, data storage, data development (digitization, topology, error correction) and manipulation, including suitability, mapping, cartographic modeling, and decision support.


Independent Study (GEG 625) - Provides an opportunity to study an academic topic not otherwise available through regular course offerings.

Internship (GEG 635) - Internships with local organizations, including city governments as well as private organizations, to help students gain much needed practical experience.

Introduction to Quantitative Methods for Geographical Analysis(GEG 680) - Basic descriptive statistics, including spatial statistics. Probability, hypothesis testing, correlation, and regression.

Advanced Cartography (GEG 685) - Basics of map making and design, including interactive maps, visualizations, and 3-D representation of land and cityscapes.

WebGIS (GEG 695) - Introduces map-serving technologies and internet map design. Lab exercises emphasize use of ArcGIS for Server and ArcGIS Online. Students build their own online interactive, customizable maps and learn the basics of Client/Server architecture and processing, JavaScript programming and XML/HTML basics.

Advanced Spatial Statistics (GEG 681) - Social and environmental science applications of spatial statistical analysis illustrated with data and numerical (simulation experiments) examples employing interactive software. A principal focus of this is spatial autocorrelation.

GIS for Public Health and Environment - This course provides practical experience in using geospatial technologies to address issues of public health and environment. Lectures, discussions, readings and guest speakers will provide content and background. A final project will allow students to explore own interests.

Crime Mapping and Analysis
This course provides a basic understanding of the spatial analysis of issues related to criminal justice and crime mapping using ArcGIS from Environmental Systems Research Institute, Inc. (ESRI), GEODA, CrimeStat. Skills developed include asking and investigating spatial problems, displaying and presenting spatial information, and conducting and reporting spatial research in areas relevant to criminal justice.

Open GIS
This course is targeted at students who already have some experience working with ArcGIS and want to learn about alternative software packages. The course will introduce desktop GIS (e.g., QGIS), data cleaning, excel pivot tables, excel crosswalk tables, creating metadata, working with Google Earth and KMZ files, and uses of geographically-minded information, etc.) We will contrast Open Source GIS with commercial GIS offerings while discussing the benefits and disadvantages.

Python for ArcGIS
with Python scripting. This course will introduce GIS students to some of the more widely used Python libraries for geographic data, mapping, and spatial analysis. Students will learn basic Python scripting syntax for how to read, process, visualize, and analyze spatial data in Python. Python is a free, cross-platform, open-source programming language that is both powerful and easy to learn. However, the emphasis of this course is on writing code that is specifically designed to work with spatial data in ArcGIS.

Other courses as approved by Program Director