In-depth application of quantitative, statistical, and computational methods used in visualization and interpretation of environmental datasets. Emphasis on field and laboratory data analysis. Prerequisites: ENS 307 with a C- or better; MTH 133; STA 382QR.

Internship in the field of environmental science. Prerequisites: Three or more courses in ENS program (2 of which must be 300 level or higher), permission of instructor.