Environmental Analytics Minor, B.S.

Environmental data science is a rapidly growing profession of analysts who harness big data to increase understanding of earth processes, inform environmental policy, and support decision making across the geosciences. While studying Environmental Analytics at CMU, you will learn to interrogate, analyze, and interpret large earth systems data sets to derive solutions to complex environmental problems needed to ensure a sustainable future.

Program Requirements

Required Courses I - Data Science (12 hours)

DAS 150QR	Introduction to Data Science	3(2-2)
DAS 251	Data Visualizations and Programming using Tableau	1(1-1)
DAS 252	Data Visualization and Programming using R/RStudio	1(1-1)
DAS 260	Data Integrity and Ethics	1(1-0)
DAS 350	Exploratory Data Analytics	3(2-2)
DAS 450	Applied Analytics I	3(3-1)

Required Courses II - Environmental Analytics (3 hours)

Select one of the following:

ENS 101QR	Of Earth and Us: Introduction to Environmental Science	3(2-2)
GEL 130	Sustainable Earth: Geology for the 21st Century	3(2-2)
MET 260	Introduction to Atmospheric Science	3(2-2)

Note: Selecting GEL 130 will require additional prerequisites for subsequent courses in the minor.

Required Courses III - Environmental Analytics (6 hours)

GEL 308	Hydrologic Processes	3(3-0)
MET 301	Climatology & Climate Change	3(3-0)

Electives (3 hours)