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Department of Environmental Health

Division of Public Health Sciences

Master of Public Health - Biostatistics Concentration

Program Summary

The biostatistics concentration of the MPH degree prepares students to take positions as a statistical consultant, a data analyst, or a project manager in health related organizations such as pharmaceutical companies, state and federal health care organizations, research establishments focusing on clinical trials, statistical consulting companies, and academic establishments requiring bio-statistical support. The University of Cincinnati MPH program is a highly competitive graduate degree program accepting candidates who demonstrate capacity and motivation to take positions within local, state, national, and international organizations promoting the health of the public.

Students enrolled in the biostatistics concentration will complete 18 semester hours in the core MPH courses, a minimum of 18 semester hours of study in approved BIO concentration courses, and a minimum of 9 semester hours in the practicum and capstone phase of study. The student can pick up any other electives offered in the department or outside in consultation with his/her Concentration Director or the MPH Program Director. The concentration director or MPH Program Director will review each students program of study and approve concentration course work.

MPH Biostatistics Concentration Director: Marepalli (MB) Rao, PhD (raomb@UCMAIL.UC.EDU)

Curriculum Guide

Students concentrating in the MPH biostatistics concentration will expand on the below listed competencies:

  1. Construct a public health and biomedical research question and convert it into a mathematically sound and statistically testable hypothesis.
  2. Analyze and interpret data from various studies including clinical trials, observational studies and public health surveys.
  3. Apply various statistical models to address various types of data structures and outcome measures.
  4. Adaptively utilize different strength of statistical packages in computation.
  5. Interpret statistical results and findings appropriately and accurately.
  6. Develop written and oral presentations to communicate complicated statistical concepts and results to medical and public health researchers and practitioners, community partners and policymakers effectively.