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Environmental Health Data Science Overview
Director: Tiffany Sanchez, PhD
The field of Environmental Health Science has become increasingly dependent on the use of massive and complex data sources. Understanding how to work with, analyze, and interpret data used in the context of Environmental Health has rapidly become a highly valued, yet uncommonly taught, skill set. The Department of Environmental Health Science is offering an MS track in Environmental Health Data Science. The curriculum is designed to educate students in the field of environmental health and to provide the quantitative skills needed to work with and analyze these complex data sources used in the environmental health sciences, including geospatial modeling, advanced statistics, and data management.
In addition to completing rigorous coursework, students gain valuable practical experience by completing a thesis. The thesis research project is meant to apply the skills that they have learned to an environmental health issue by working with data.
The Data Science track is designed to be completed in 12 months but can accommodate part-time students, who may take up to three years to complete the Master’s program.
Students in this program will complete:
The Department’s Environmental Health Data Science MS degree program will prepare students to:
Develop relevant programming skills in “R”
Write computationally efficient code
Gain a strong knowledge base in Environmental Health Science and Biostatistics
Work with imperfect/real-world data sets
Rigorously critique data science based research in environmental health
Develop a data science based model to and analyze data used in environmental health
Graduates with a Master of Science degree in Environmental Health Data Science are well qualified for environmental health and data science careers in local and regional departments of health, federal agencies such as the NIH, EPA, FDA, CDC, private companies, non-governmental organizations, and careers in research in academia, medicine, industry, and the military.
Requirements and submission instructions can be found here.
Prerequisites: Students from a wide range of backgrounds are acceptable candidates for this program. Applicants may have an undergraduate degree in any field, but should have some background or coursework in college mathematics, including at least a year of calculus.</…….