Environmental Analytics

Graduates specializing in Environmental Analytics are equipped to transform complex
environmental data into practical findings that guide decision-making and policy. Career paths
include working as an Environmental Consultant with consulting agencies to assess ecological
impacts and design mitigation strategies, or as a GIS Analyst in city planning departments, where
spatial data is applied to land-use planning, infrastructure development, and conservation
initiatives. Other opportunities include roles as Environmental Risk Analysts in the insurance
industry, evaluating climate-related and ecological risks to inform financial planning and resilience
strategies, and as Climate Change Analysts with federal agencies such as NOAA and the EPA, or
with NGOs focused on adaptation and sustainability. This pathway emphasizes data analysis,
modeling, and interdisciplinary problem-solving, preparing graduates to address environmental
challenges through evidence-based strategies.

• Suggested courses for the two 200+ level lab courses: STAT 213 Applied Regression and DATA/STAT 234 Foundations of Data Science.
• Suggested courses for the two 300+ level courses: a combination of STAT 313 Advanced Modeling, DATA/STAT 334 Data Visualization, and/or any 300-level STAT elective courses.
• Suggested courses for the two 200+ level ESP (Environmental Science and Policy) courses: any ESP course. Courses with an analytics component include: ENVS 271 Landscape Ecology, ENVS 309 Taming Trash, ENVS 338 Ecology of Agroecosystems, ENVS 379 Renewable Energy Systems, ENVS 383 Energy Life Cycle Analysis.

Suggested STEM major advisors: Matt Higham (Statistics and Data Science), Lillian Li (Statistics and Data Science), Ivan Ramler (Statistics and Data Science).

Suggested ESS major advisors: Sara Ashpole (ESS), Lori Clark (ESS), Aaron Iverson (ESS), David Murphy (ESS), Pete Pettengil (ESS),  Jon Rosales (ESS).