Doctor of Philosophy (in Biostatistics)

The Department of Biostatistics offers a PhD degree in biostatistics.  This program provides a balance between theory and application, the perspective being the role of statistics and modeling in scientific research.  The objective is to produce research-oriented scientists who can advance statistical and modeling theory and can interact effectively with scientists in other disciplines to advance knowledge in those fields.  For admission to the program, a student's undergraduate curriculum must include a complete calculus sequence, linear matrix algebra, and proficiency in computing.  It is preferred that students have additional advanced mathematics courses, e.g., differential equations, advanced calculus including special functions, and complex analysis.  Advanced calculus and a prior MS in statistics or biostatistics are required for admission to the PhD program.  Some background in the natural sciences would be helpful.  Interested students should contact the department of Biostatistics.

Doctor of Philosophy (in Biostatistics)

All students entering the PhD program must complete 33 credit hours of regular course work and the consulting course required for the MS degree. In addition to this MS course work, PhD students are required to take the following courses:

Course work		Credit Hours
BST 723	Theory of Linear Models	3
BST 765	Advanced Computational Methods	3
BST 735	Advanced Inference	3
BST 760	Generalized Linear and Mixed Models	3
BST electives *		Minimum - 12

* Courses should be numbered 624 or higher, including at least 9 hours of 700 level courses.

The departmental handbook and/or the Graduate School Catalog should be consulted for information regarding research advisor, comprehensive examinations, thesis and dissertation proposal and defense.