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About the Program
The doctoral program prepares students to understand the mathematical and theoretical basis of statistical methodology; collaborate on the design of research studies in the health sciences; provide advice on the proper collection, entry, storage, retrieval, and manipulation of data; and take primary responsibility for the analysis, interpretation and dissemination of data in a research study using state-of-the-art statistical methods and software. Doctoral students are also prepared to carry out original methodological research in statistics and apply the resulting methodology to health-related research problems.
Graduates of the PhD program will be qualified for employment in academic research institutions in medicine, nursing, dentistry, allied health, public health, and the laboratory sciences; academic institutions providing training in statistics or biostatistics; in the pharmaceutical and other biotech industries; and in local, state, and national government agencies.
Students accepted into the program will be considered for Graduate Research Assistantship (GRA), which includes financial support and a reduced tuition rate of $25/semester, and single-person health insurance coverage through the Student Group Health Insurance plan. A limited number of GRA packages will be awarded on a competitive basis to applicants with exemplary qualifications.
Please see the Office of Academic Admissions website for specific admissions information:
For more information about the College of Graduate Studies and the Department of Biostatistics and Epidemiology visit http://www.gru.edu/mcg/biostatepi.
All students must attend departmental and other research seminars and meetings that are relevant to their biostatistics training.
Students must publicize the results of their research through seminars, conference presentations, and/or articles in refereed (peer-reviewed) journals.
Students with graduate assistantships are required to work with a faculty supervisor as Research or Teaching Assistants.
Research Proposal Defense
Final Oral Exam (Dissertation Defense)