Use new sources of location data to develop solutions to complex problems that impact people and the environment.
Program Overview
Our Master of Science in Spatial Data Science degree program is designed to prepare students with the analytical and technical capabilities needed to design new geospatial solutions that go beyond typical GIS applications. With courses focused on advanced spatial methods and applications, and a mentored capstone learning experience, graduates of this program will possess the scientific, technical, and leadership competencies required to research, design, and evaluate geospatial technologies in a wide range of decision-making contexts.
Explain and communicate the distinguishing characteristics of spatial data, including how they are created, sensed, stored, manipulated, and represented.
Leverage advances in geocomputation, geovisual analytics, open geospatial data, and strategic spatial thinking to develop ethically responsible and reproducible data science workflows.
Architect and implement interactive geovisual analytical frameworks that advance the state of the art in spatial data science and solve real-world problems.
Research, critique, and map spatial analysis results in support of analytical reasoning and ethical decision-making in a variety of data-intensive spatial data science contexts.
Prepared for the Future
Graduates of this program will be able to create new analysis tools and geographic visualizations to support decision-making in a variety of real-world contexts by gaining expertise at the intersection of geographic and data science.
Curriculum
The Master of Science in Spatial Data Science is a 33-36-credit degree program in which it is also possible to earn a Graduate Certificate in Geospatial Programming and Web Map Development, a Post-Baccalaureate Certificate in GIS, or certificates in Remote Sensing and Geospatial Intelligence while studying completely online. The degree program consists of a combination of required courses (15 credits), elective courses (15 credits), and a capstone project or thesis (3-6 credits). Students must complete at least 18 credits of 500/600 level courses to earn the M.S. in Spatial Data Science. Unlike the MGIS degree, 800 level classes can not count toward this 18 credit requirement.
The typical student course load is expected to be three to five courses per year. It is recommended that students take only one course at a time.
COURSE NUMBER | TITLE | NEXT OFFERING | TECHNOLOGY |
---|---|---|---|
GEOG 485 | GIS Programming and Software Development | Spring 2, 2025 | ArcGIS Desktop, ArcGIS Pro, Python |
GEOG 486 | Cartography and Visualization | Spring 2, 2025 | ArcGIS Pro, Mapbox, Mapbox Studio, Tableau |
GEOG 580 | Geovisual Analytics | Summer 2025 | ArcGIS Insights, ArcGIS Pro, CARTO, Tableau |
GEOG 583 | Geospatial System Analysis and Design | Spring 2, 2025 | Varies |
GEOG 586 | Geographic Information Analysis | Spring 2, 2025 | ArcGIS Pro, GeoDa, R |
Each of these courses is three credits.
COURSE NUMBER | TITLE | NEXT OFFERING | TECHNOLOGY |
---|---|---|---|
GEOG 480 | Exploring Imagery and Elevation Data in GIS Applications | Summer 2025 | ArcGIS Pro |
GEOG 481 | Topographic Mapping with Lidar | Spring 2, 2025 | ArcGIS Pro, GeoCue LP360 |
GEOG 482 | Making Maps that Matter with GIS | Spring 2, 2025 | ArcGIS Online, ArcGIS Pro, ArcGIS Story Maps, Python |
GEOG 483 | Problem Solving with GIS | Spring 2, 2025 | ArcGIS Online, ArcGIS Pro, ArcGIS Story Maps |
GEOG 484 | GIS Database Development | Summer 2025 | ArcGIS Pro, ModelBuilder |
GEOG 489 | Advanced Python Programming for GIS | Spring 2, 2025 | Anaconda, ArcGIS, ArcGIS Online, ArcGIS Pro, GDAL, Github, Jupyter, OGR, OpenStreetMap, Python, QGIS, R |
GEOG 585 | Open Web Mapping | Spring 2, 2025 | CSS, GDAL, GeoServer, HTML, Javascript, Leaflet, OGR, OpenLayers, OpenStreetMap, QGIS, TileMill |
GEOG 861 | The Earth is Round and Maps are Flat: Spatial Reference Systems in GIS | N/A | ArcGIS Pro, Geocart |
GEOG 865 | Cloud and Server GIS | Summer 2025 | Amazon Web Services, ArcGIS Desktop, ArcGIS Enterprise, ArcGIS Online, ArcGIS Pro, ArcGIS Server, CARTO, HTML, Javascript, Mapbox, Portal for ArcGIS |
GEOG 868 | Spatial Database Management | Spring 2, 2025 | Amazon Web Services, ArcGIS Pro, ArcSDE/Multiuser Geodatabases, PostgreSQL/PostGIS, QGIS, SQL |
GEOG 871 | Geospatial Technology Project Management | Spring 2, 2025 | Microsoft Project, Project Libre |
GEOG 884 | Spatial Data Science and Intelligence Analysis | Spring 2, 2025 | ArcGIS Desktop, ArcGIS Online, ArcGIS Pro, CARTO, GeoDa, QGIS |
GEOG 885 | Analytical Methods and GEOAI in Geospatial Intelligence | Summer 2025 | ArcGIS, ArcGIS Online, ArcGIS Story Maps |
GEOG 892 | Unmanned Aerial Systems | Fall 1, 2025 | Pix4D |
Talk to your adviser about flexibility with number of credits in this section.
The following courses are not offered by the Geography Department but may be used as electives. See the Graduate Bulletin for details.
COURSE NUMBER | TITLE | NEXT OFFERING | TECHNOLOGY |
---|---|---|---|
GEOG 479 | Spatial Data Science for Cyber and Human Social Networks | Spring 2, 2025 | NodeXL |
GEOG 487 | GEOG 487: Environmental Challenges in Spatial Data Science | Summer 2025 | ArcGIS Online, ArcGIS Pro, ArcGIS Story Maps, Prezi |
GEOG 571 | Intelligence Analysis, Cultural Geography, and Homeland Security | Summer 2025 | ArcGIS Online, ArcGIS Story Maps, Google MyMaps, Portal for ArcGIS |
GEOG 581 | Spatial Data Science Ethics | Summer 2025 | |
GEOG 587 | Conservation GIS | Spring 2, 2025 | ArcGIS Desktop, ArcGIS Pro, QGIS, R |
GEOG 588 | Analytical Approaches in Spatial Data Science | Fall 1, 2025 | R, R Studio |
GEOG 589 | Emerging Trends in Remote Sensing | Spring 2, 2025 | ArcGIS Image for ArcGIS Online, ArcGIS Pro, Google Earth Engine, Javascript, Python |
GEOG 591 | GIS for Analysis of Health | Fall 2, 2025 | ArcGIS, GeoDa, R |
GEOG 850 | Location Intelligence for Business | Fall 2, 2025 | ArcGIS Online, Claritas PRIZM, Esri Business Analyst Online (BAO), US Census Bureau |
GEOG 858 | Spatial Data Science for Emergency Management | N/A | ArcGIS Pro |
GEOG 863 | Web Application Development for the Geospatial Professional | Summer 2025 | ArcGIS API for Javascript, ArcGIS Online, ArcGIS Web AppBuilder, CodePen, CSS, HTML, Javascript, Portal for ArcGIS |
GEOG 871 | Geospatial Technology Project Management | Spring 2, 2025 | Microsoft Project, Project Libre |
GEOG 882 | Geographic Foundations of Geospatial Intelligence | Spring 2, 2025 | |
GEOG 883 | Remote Sensing Image Analysis and Applications | Summer 2025 | Amazon Web Services, ArcGIS, ArcGIS Online, ArcGIS Pro, eCognition Developer |
Talk to your adviser about flexibility with number of credits in this section.
The following courses are not offered by the Geography Department but may be used as electives. See the Graduate Bulletin for details.
With mentorship from a faculty advisor, students may choose a capstone course (3 credits) or thesis option (6 credits) to fulfill their culminating experience requirement and demonstrate integration of knowledge and research experience acquired during their time in the spatial data science degree program.
Students who choose the capstone course option GEOG 570 (3 credits) must produce a work product, paper suitable for publication, and formal oral presentation that demonstrates analytical thinking and synthesis of knowledge in the field of spatial data science. Students are encouraged to utilize an industry internship or current employer to identify a relevant or practical problem of importance that spatial data science methods could address and to advance the state of the art in order to solve that problem.
Students who choose the thesis option GEOG 600A and GEOG 600B (2 classes for a total of 6 credits) must write and defend, at an oral examination, a thesis based upon original research in the field of spatial data science. The thesis will demonstrate depth of knowledge to their advisor, a second reader, and the director of the SDS graduate program. Students who choose the thesis option for their culminating experience should expect the the two thesis classes to span multiple semesters. Students will need committee approval to move from the first class to the second.
COURSE NUMBER | TITLE | NEXT OFFERING | TECHNOLOGY |
---|---|---|---|
GEOG 570 (3 credits offered during a 16-week semester)* | Capstone in Spatial Data Science | Fall 1, 2025 | Varies |
GEOG 600A (this course is paired with GEOG 600B) | Thesis Proposal | Spring 2, 2025 | Varies |
GEOG 600B (600A and 600B are worth six credits total) | Thesis Research | Summer 2025 | Varies |
*GEOG 570 is a 3-credit course offered over a 16-week semester. Please check the Course Calendar for specific registration and semester start and end dates.