This concentration applies statistical and quantitative knowledge to environmental problems. It encourages design of monitoring programs for environmental data collection, and development of theoretical justifications of statistical decisions with attention to law, ethics, and economy.

Students apply statistical and quantitative knowledge including data science and big data to real-world environmental problems using monitoring programs to analyze surveys and design experiments.

The course content will build proficiency in statistical methods and model selection techniques within statistical software for analyzing environmental data. Lab processes and protocols from multiple disciplines are used to produce and analyze data that vary over time and space.

Graduates will be capable of designing, monitoring and developing complex experimental designs related to current environmental issues. This concentration also prepares students for advanced studies that utilize statistical methodology such as quantitative studies that examine the effects of pollutants on human and environmental health.