Spatial data is integrated into our everyday lives and employed in a range of professions. We are all integrated into a complex web of movement, place, and discovery, whether we’re navigating across town or interpreting maps of election results.
UO geographers use spatial data technologies to focus on remote sensing of the changing environment, climate-change analysis, web-mapping, cartography and data visualization, spatial cognition, and spatial patterns in public health.
In the data science domain area of geography, you will be studying how spatial data can revolutionize business, nonprofit, and government worlds.
Domain Requirements
You will take three geography domain core courses and four courses from the electives menu.
Geography Core Courses (must take three)
course | title | quarter offered* |
|---|---|---|
GEOG 181 | Our Digital Earth | Fall |
GEOG 281 | The World and Big Data | Winter |
GEOG 481 | GIScience I | Fall, Winter |
Geography Electives (choose four)
course | title | quarter offered* |
|---|---|---|
GEOG 482 | GIScience II | Fall, Winter |
GEOG 485 | Remote Sensing I | Fall |
GEOG 486 | Remote Sensing II | Winter |
GEOG 490 | Special Topics (must have approval from the DSCI director of undergraduate studies) | Spring |
GEOG 491 | Advanced GIS: Python | Winter |
GEOG 493 | Advanced Cartography | Fall |
GEOG 498 | Geospatial Project Design | Fall |
DSCI 411** | Data Science Capstone | |
GEOG 393 | Data-Driven Cartography | Fall |
GEOG 484 | GIS and Public Health | |
GEOG 489 | Mapping with Drones | |
GEOG 492 | Web Mapping |
* Course schedules are subject to change.
** Students with a GPA of 3.75 or higher overall in all data science degree courses are eligible.