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 282 Programming for SDS  
GEOG 381 The World and Big Data Winter
GEOG 394 Stats for SDS  
GEOG 481 GIScience I Fall, Winter

Geography Electives (choose four)

course title quarter offered*
GEOG 482 GIScience II 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 Fall
GEOG 493 Advanced Cartography Winter
GEOG 498 Geospatial Project Design Fall
DSCI 411** Data Science Capstone  
GEOG 393 Data-Driven Cartography  
GEOG 484 GIS and Public Health  
GEOG 488 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.