Doctoral of Philosophy in Public Health - Biostatistics

The Biostatistics doctoral program is designed to train students in the development of techniques, methods and tools to conduct public health research using rigorous statistical, bioinformatics and general quantitative methods. Faculty interest areas include: bioinformatics, statistical genetics, network analysis, causal inference, survival analysis, and high throughput computing.
Students entering the program will be trained at the graduate level in the analysis of data from genetics and genomics, electronic medical records, and population-based epidemiological studies. Such research will include approaches requiring large populations, large data sets, and as needed, the collection, processing and analysis of data used in the pursuit of improving the public's health. Graduates of this program will be able to participate and execute the study design, data collection, analysis and dissemination of results. Technical areas include database management, causal inference, network analysis, medical and population genetics, as well as tools and techniques for acquiring, processing, warehousing, and analyzing public health data. Other areas of expertise include data mining, computer-based decision support systems, and computational biology. The PhD in Public Health with a concentration in Biostatistics requires 69 course credits beyond the Bachelor's degree. Coursework includes core courses as outlined below, methods courses, electives, and credits taken as doctoral research.

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