Graduate Certificate: Geospatial Data Science
About the Certificate
Data science is an emerging interdisciplinary field with roots in computer science, mathematics and statistics. Spatial data are common and high value, including government administrative data, remotely sensed images, smartphone and vehicle location data, and volunteered geographic information (VGI). Our courses introduce students to big data handling, data mining, geosimulation, geospatial analytics and machine learning. The Department of Geography and Urban Studies faculty have expertise in cartography, GIS, machine learning, remote sensing, spatial data science, spatial statistics and urban analytics.
This graduate certificate complements our Professional Science Master’s in Geospatial Data Science and may serve as a gateway into the program. Students in the certificate program pursue a curriculum that provides training in geospatial data science that also complements graduate programs offered in the College of Education and Human Development, College of Liberal Arts, College of Public Health, College of Science and Technology, Fox School of Business and Management, and the Lew Klein College of Media and Communication.
Time Limit for Certificate Completion: 4 years
Campus Location: Main
Full-Time/Part-Time Status: The graduate certificate can be completed on a part-time basis. NOTE: International students may not be eligible to apply for a student visa based on admission to the certificate program. Please contact the certificate program's administrator for more information.
Job Prospects: Combined training in GIS and data science prepares individuals to take on lead data science teams in technology-based companies, governmental agencies and nonprofit organizations who regularly work with big geospatial data and undertake projects that require geospatial skills and a spatial perspective.
Non-Matriculated Student Policy: Courses are available to non-matriculated graduate students with approval from the Graduate Chair or Assistant Director. Non-matriculated students may take up to 9 credits prior to matriculation, but an exception can be made to accept all 12 certificate credits for those who want to pursue the Professional Science Master’s in Geospatial Data Science. For more information, please email email@example.com about registering as a non-matriculated student.
Admission Requirements and Deadlines
Fall and Spring: Admission is on a rolling basis. Interested students should contact firstname.lastname@example.org for permission to enroll in coursework. Students are processed by the Office of Continuing Studies.
Bachelor's Degree in Discipline/Related Discipline: All applicants must present credentials that are the equivalent of the appropriate baccalaureate degree at Temple University.
Number of Credits Required to Complete the Certificate: 12
|GUS 5161||Statistics for Urban Spatial Analysis||3|
|or GUS 5073||Geovisualization|
|GUS 8061||Big GeoSpatial Data||3|
|Select two from the following: 1||6|
|Fundamentals of Geographical Information Systems|
|Urban Geographical Information Systems|
|Environmental Applications of GIS|
|GIS and Location Analysis|
|Census Analysis with Geographical Information Systems|
|GIS for Health Data Analysis|
|Advanced Remote Sensing|
|Advanced Statistics for Urban Applications|
|Application Development for Geographic Information Systems|
|GIS Ethics and Professional Practice|
|Total Credit Hours||12|
Electives are selected from any of the required or elective courses for the Geospatial Data Science PSM, as identified above.
GPA Required to be Awarded the Certificate: 3.0 minimum
Certificate Program Web Address:
Dept. of Geography and Urban Studies
308 Gladfelter Hall (025-27)
1115 W. Polett Walk
Philadelphia, PA 19122-6089
Senior Manager, Administration:
Lee Hachadoorian, PhD
Hamil Pearsall, PhD
Melissa Gilbert, PhD