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4.33
1.00
3.26
Spring 2026
Designed to introduce undergrads to a graduate level coursework. This course advances methodological and cultural competency in the design and implementation of community health qualitative research investigations. Coursework provides opportunities to practice specific methodologies such as surveys, interviews, focus groups, case studies, and historiographies in accordance with standards of rigor (e.g., reliability, generalizability, validity). Prerequisites: Instructor Permission.
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3.53
Spring 2026
Introduces students to the techniques needed for the evaluation of health outcomes from the perspectives of the patient, the physician, the health care provider, and society. Presents measurement and evaluation of survival, functional status, quality of life, and health values. Evaluates the efficacy, effectiveness, and cost-effectiveness of devices, interventions, and processes of care. Prerequisite: PHS 7000 and 7001 or instructor permission.
3.76
2.71
3.56
Spring 2026
Public health is multidisciplinary, universally relevant, & constantly evolving. In this survey course, we learn about past & current public health issues & explore the core disciplines of public health through a combination of lectures & small group discussion of documentaries & case studies. We develop an appreciation of how public health knowledge relates to our lives & learn about career opportunities.
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3.68
Spring 2026
The culminating experience project should demonstrate application of knowledge acquired in the MPH program to a real-world public health issue. Students write a paper & create a poster for presentation describing their projects. Students also take a review test of basic material from the core public health disciplines & complete a competency self-assessment to obtain feedback on their progress & accomplishments achieved by the end of the program.Prerequisite: Instructor Permission.
3.21
2.45
3.72
Spring 2026
Undoubtedly, we've made important advances in global health, but there's still a long way to go. What factors determine health? What threats do we face today? What issues should we be working to change? We will explore these questions & more through a variety of interactive lectures & small group activities centered on 4 major themes: History & Trends, Determinants of Health, Culture, & Communication.
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3.73
Spring 2026
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.
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3.80
Spring 2026
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.
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3.83
Spring 2026
An illustration of the indications, limitations, assumptions, and appropriate applications of analytical methods in a variety of biomedical settings. Students will learn how to determine which analytic technique would be best suited for a variety of translational and clinical research, evaluation, and policy study designs. Prerequisite: Instructor permission;: PHS 7000.
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3.84
Spring 2026
An introduction to the terminology, structure, & function of the U.S. health care system with an emphasis on the social, economic, & political forces that impact the organization, financing, & delivery of health & health care.
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3.85
Spring 2026
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.
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