01 Mar, 2026Application Deadline
Jan, Jun, AugStarting Month
Programme overview
Main Subject
Geography
Degree
Other
Study Level
Masters
Study Mode
On Campus
Expand your expertise in geospatial analysis with the Professional Science Master’s (PSM) in Geospatial Data Science in Temple University’s College of Liberal Arts. One of the first of its kind in the U.S., this 30-credit master’s program is specifically designed to train data scientists and geographic information systems (GIS) professionals with geospatial analysis, programming and advanced analytical skills.
Data science is a growing field with roots in computer science, mathematics and statistics. It can be applied across disciplines and industries for which spatially referenced data informs prediction and decision-making, including climate adaptation, urban and environmental planning, retail and business location, and spatial epidemiology. This degree emphasizes advanced statistics and computer programming to meet the increasing demand for professionals with expertise in these areas.
Geography and Urban Studies Department faculty have extensive experience in
- cartography,
- GIS,
- machine learning,
- remote sensing,
- spatial analysis,
- spatial data science,
- spatial statistics and
- urban analytics.
Students learn the fundamentals of geospatial data science as well as the latest trends in the field. The program’s faculty imparts an in-depth understanding of ethics, preparing students to put them into practice in their careers.
Coursework addresses the geospatial aspects of core data science competencies in big data analytics, machine learning and simulation. You’ll use industry-standard tools such as SQL, R, Python and other emerging technologies, with an emphasis on open source tools, social coding and reproducible research.
Many of the program’s courses focus on programming and include peer review, code walkthroughs and live demonstrations of coding projects. You’ll learn to write documentation and leverage social coding platforms such as GitHub to share and publicize your work.
Programme overview
Main Subject
Geography
Degree
Other
Study Level
Masters
Study Mode
On Campus
Expand your expertise in geospatial analysis with the Professional Science Master’s (PSM) in Geospatial Data Science in Temple University’s College of Liberal Arts. One of the first of its kind in the U.S., this 30-credit master’s program is specifically designed to train data scientists and geographic information systems (GIS) professionals with geospatial analysis, programming and advanced analytical skills.
Data science is a growing field with roots in computer science, mathematics and statistics. It can be applied across disciplines and industries for which spatially referenced data informs prediction and decision-making, including climate adaptation, urban and environmental planning, retail and business location, and spatial epidemiology. This degree emphasizes advanced statistics and computer programming to meet the increasing demand for professionals with expertise in these areas.
Geography and Urban Studies Department faculty have extensive experience in
- cartography,
- GIS,
- machine learning,
- remote sensing,
- spatial analysis,
- spatial data science,
- spatial statistics and
- urban analytics.
Students learn the fundamentals of geospatial data science as well as the latest trends in the field. The program’s faculty imparts an in-depth understanding of ethics, preparing students to put them into practice in their careers.
Coursework addresses the geospatial aspects of core data science competencies in big data analytics, machine learning and simulation. You’ll use industry-standard tools such as SQL, R, Python and other emerging technologies, with an emphasis on open source tools, social coding and reproducible research.
Many of the program’s courses focus on programming and include peer review, code walkthroughs and live demonstrations of coding projects. You’ll learn to write documentation and leverage social coding platforms such as GitHub to share and publicize your work.
Admission Requirements
- Candidates are required to submit references or letter(s) of recommendation for acceptance
Scholarships
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