Emphasis on hands-on experiences, equips students with key applied economic concepts & econometrics tools to empirically analyze observational health outcome & behavioral data to formulate/evaluate health policies and/or strategic plans for health-related orgs. Will use multiple regression methods to analyze cross-sectional & panel data & learn ways to address real world data noises to provide causal interpretation.

The Applied Practice is a planned, supervised & evaluated work experience with an organization that contributes to the health of a community. Students apply skills learned in the program to a real-world setting & work toward achieving competencies. Placements are selected based on the interests & needs of the student. A min of 2 deliverables are required; placements may occur during an academic year, one semester or over summer.

Students will gain knowledge of effective peer health promotion strategies to prevent hazing and substance misuse among emerging adults and develop their communication, facilitation and presentation skills.

This course will examine the philosophy, rationale, & guidelines for developing health promotion programs in a worksite setting. The educational organizational, social & environment supports for behaviors conducive to positive health outcomes & improved work performance will be examined. Strategies that impact employee health along with theories of behavior change & human motivation will be discussed.

Covers the design and analysis of Phase I-III clinical trials. Topics include choice of study population and endpoints, choice of study design and sample size estimation, randomization and masking, patient recruitment, data collection and quality control, data monitoring committees, data analysis, and the interpretation and reporting of results. Prerequisite: Instructor permission; PHS 7000 or equivalent.

Explores racial, ethnic, geographic & other health inequities in their socio-cultural, political-economic & historic contexts. Among the topics covered will be descriptions of disparities, socioeconomic & political determinants of health inequities & the impact of bias & prejudice on the health & well-being of marginalized communities. Centers around a population health perspective although readings will be interdisciplinary.

This course will train participants to utilize Lean methodologies and tools that can help improve throughput and other performance measures in a healthcare setting. Lean is a leading process improvement methodology used to achieve significant improvements in quality, service, productivity, and customer satisfaction. It uses a variety of statistical tools and other skills, integrated with a standardized methodology, to measure, and analyze.

This course offers an intro to environmental health with a focus on environmental epidemiology. Through case studies on air, soil and water pollutants, students will examine concepts of study design, exposure assessment and issues of validity. Provides hands-on introduction to GIS. At course completion, students will be prepared to critically review published literature and assist in the design and conduct of environmental health research.

In this course students will utilize data science principles and skills to access, evaluate, and interpret public health data from large databases and draw inferences. Students will develop skills to formulate and answer research questions related to clinical research and health policy. The course will also explore how the publci health infrastructure collects, processes, maintains, and disseminates data.

Focuses on health policy analysis using secondary data. The course applies skills learned in biostatistics & epidemiology courses in order to conduct secondary data analyses. In particular, students will explore how public health infrastructure collects, processes, maintains, & disseminates data by learning about & accessing large datasets such as BRFSS and NHANES.