Graduate Studies

  • Doctor of Philosophy
  • Master of Science

Biostatistics applies quantitative methods to study problems related to life sciences that arise in a broad array of fields. Biostatistics provides stochastic models and methods, algorithms, and graphical tools for the analysis of data from genetics, bioinformatics, and the medical, biological, agricultural, and environmental sciences. The program provides students with solid training in the biostatistical core disciplines and theory; state-of-the art knowledge and skills for biostatistical data analysis; substantial exposure to the biological and epidemiological sciences; and a strong background in theoretical modeling, statistical techniques, and quantitative as well as computational methods. Faculty interests include survival analysis; statistical methods for genetics, bioinformatics, epidemiology, and environmental research; longitudinal data analysis; analysis of biological shapes and trajectories; generalized linear models, estimating equations, model selection, and bioassay; and design for biological and medical studies.

Graduate Requirements

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