Temple University College of Liberal Arts 19 courses 12 total credits
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, Environment, and Urban Studies faculty have expertise in cartography, GIS, machine learning, remote sensing, spatial data science, spatial statistics and urban analytics.
| Total Credits | 12 credits |
Core Courses
| Code | Course Title | Credits |
|---|---|---|
| GUS 5161 or GUS 5073 | Statistics for Urban Spatial Analysis or Geovisualization | 3 |
| GUS 8061 | Big GeoSpatial Data | 3 |
Electives
Click a course code or title to read the full course description.
Our subject experts help with essays, research papers, case studies, discussion posts, and capstone projects for these programs β written from scratch to your course requirements.
Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.
Expert guides on essay writing, citation styles, study skills, and academic success.
View All Articles
Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
Learn how to choose a research topic you can actually research. Discover how to narrow broad ideas, find reliable sources, and develop a focused research question.
Learn how to cite sources in a research paper using APA, MLA, and Chicago styles, with in-text citation examples and reference-list tips.