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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 150QRIntroduction to Data Science

3(2-2)

DAS 251Data Visualizations and Programming using Tableau

1(1-1)

DAS 252Data Visualization and Programming using R/RStudio

1(1-1)

DAS 260Data Integrity and Ethics

1(1-0)

DAS 350Exploratory Data Analytics

3(2-2)

DAS 450Applied Analytics I

3(3-1)

Required Courses II - Environmental Analytics (3 hours)

Select one of the following:
ENS 101QROf Earth and Us: Introduction to Environmental Science

3(2-2)

GEL 130Sustainable Earth: Geology for the 21st Century

3(2-2)

MET 260Introduction 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 308Hydrologic Processes

3(3-0)

MET 301Climatology & Climate Change

3(3-0)

Electives (3 hours)

Select one of the following:
ENS 401WIQuantitative Environmental Data Analysis

3(2-2)

GEL 420Applied Geostatistics

3(2-2)

MET 315Meteorological Data Analysis & Visualization

3(2-2)

Total: 24 semester hours