Data Science in the Environment
Data science, including skills such as database management, data manipulation, mapping, data visualization and interpretation, data ethics, coding, and statistical analysis, is increasingly important in environmental science. Students in this course work with ecological data collected in the field at the beginning of the course to develop skills in data science and learn to use the programming language R. Class sessions focus on active and hands-on learning.
Prerequisites & course information
Prerequisite: 60 credit hours, including one of GEOG 3326 , BIOL 3308 , or MATH 1216; Note: Data will be collected in the field at the start of the semester (two 7.5 hour days on the Monday and Tuesday immediately prior to the start of fall term classes) to allow analysis of the collected dataset throughout the semester and additionally allow students to gain field ecology skills. Classes 1.5 hrs. and lab 3 hrs. per week.
Sources
- Course catalogue ↗2026-2027