The M.P.H. in Biostatistics program provides training in biostatistics methods as they apply to population health. In addition to a broad range of foundational knowledge in public health, courses emphasize intermediate to advanced applied statistical methods and statistical programming commonly used in public health research and practice. Students also learn data interpretation and communication, along with epidemiological study design and methods.
Over the past decade in the United States, demand has increased for individuals well trained in the field of biostatistics to collaborate in public health research and program evaluation. The increasing use of electronic health records, population-based health surveys, large-scale community-based interventions and evaluations of health care reform initiatives are a few examples in which biostatistics is essential for public health. Graduates of the program are equipped to pursue careers in local, state and federal agencies, health and medical centers and research institutions.
An accurate and current example of the Program of Study can be viewed in the relevant Student Handbook.
Students graduating from this track will be able to:
- Apply appropriate principles of research design and population-based concepts to assess health problems.
- Apply appropriate descriptive and inferential statistical methods to analyze risk determinants of disease and health conditions.
- Apply descriptive and inferential statistical methods that are appropriate to the different study designs used in public health research.
- Interpret and summarize results and communicate them to lay and professional audiences, in the contest of proper public health principles and concepts.
- Evaluate strengths and weaknesses of alternative research designs and analytic methods, and critically review and assess statistical analyses presented in public health literature.
- Apply basic ethical principles pertaining to the collection, maintenance, use, and dissemination of public health data.
- Identify cultural dimensions of conducting research, including culturally sensitive recruitment of study participants, and develop strategies for interpretation of data in the larger cultural context.