The online Certificate in Applied Geospatial Technologies is designed for anyone looking for credentials to help them build or grow a career in geographic mapping and analysis.
Offered by the College of Arts & Sciences at the University of Louisville, this program is designed to teach students how to apply techniques of geographic information science (GIS) and collect, view, manipulate and analyze digital geographic data for a deeper understanding of the world around us. Through an introduction to GIS and hands-on experience using ArcGIS software, you will learn how to connect data sets to landscapes and communities, and provide insights about real-world environmental conditions and social problems.
$539 per credit hour
$250 per credit hour active-duty rate
The Certificate in Applied Geospatial Technologies is relevant in a wide range of fields including but not limited to:
|Application Deadline||Term||Start Date|
For more information on the admission and application process, please contact our Online Learning Enrollment Counselor at 800.871.8635 or by email at firstname.lastname@example.org.
The online Certificate in Applied Geospatial Technologies is a 15 credit hour program that requires 6 credit hours in core courses and 9 credit hours in electives. Students must complete required courses for the certificate with a GPA of 2.75 or above.
|GEOG 350 Introduction to Mapping and Geospatial Technologies||3|
|GEOG 558 Introduction to GIS||3|
|Course [choose 3]||Hours|
|GEOG 355 Introduction to Remote Sensing||3|
|GEOG 356 Introduction to Spatial Statistics||3|
|GEOG 385 Introduction to Programming for GIS and Spatial Data Analysis||3|
|GEOG 531 GIS and Urban Demographic Analysis||3|
|GEOS 571 GIS and Water Resources||3|
|GEOG 590 Spatial and Non-Spatial Database Management||3|
GEOG 350 Introduction to Mapping and Geospatial Technologies
Introduction to the concepts and methods of map construction and visualization, including scale, location, projection, design, symbolism and compilation. Students will explore these concepts and methods through the use of geospatial technologies.
GEOG 558 Introduction to Geographic Information Systems
Introduction to geographic information systems using ArcGIS software, management of relational databases, and manipulation and graphical output of digital geo-spatial data.
GEOG 355 Introduction to Remote Sensing
This course provides an introduction to the theory and application of remote sensing data with weekly lab reports for hands-on-experience in the acquisition and utilization of remotely-sensed data in geographical/environmental research.
GEOG 356 Introduction to Spatial Statistics
Introduction to multivariate statistical analyses and spatial statistics, i.e. statistical methods that use space and spatial relationships directly in their mathematical computations.
GEOG 385 Introduction to Programming for GIS and Spatial Data Analysis
There are two primary goals for this course. First, students will learn introductory computer programming concepts and features. Students will deconstruct examples from a variety of programming and scripting languages (primarily Python, R, VBA, and IDL), learning how to identify common logic, flow control and syntactic features. Students will learn the purpose of these structures and how to start using the programming and scripting environments of common statistics, geographic information systems (GIS) and remote sensing (RS) platforms.
GEOG 531 GIS and Urban Demographic Analysis
Demographic analysis through the use of GIS technology. Emphasis placed on metropolitan area characteristics including population change, segregation, ethnic settlement, social and economic stratification and commuting.
GEOS 571 GIS and Water Resources
A study of the application of Geographic Information Science techniques in water resources research and management including: digital mapping of water resources, watershed delineation and modeling atmospheric, surface and groundwater processes.
GEOG 590 Spatial and Non-Spatial Database Management
Provides students with "hands-on" experience in development, management and integration of spatial and non-spatial databases, using GIS and database management software.