Master of Science (in Biostatistics)

The Department of Biostatistics offers an MS 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 MS 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.    Some background in the natural sciences would be helpful.  Interested students should contact the department of Biostatistics.

Master of Science (in Biostatistics)

Course work		Credit Hours
BST 621	Statistical Methods I	3
BST 622	Statistical Methods II	3
BST 623	General Linear Models	3
BST 626	Data Management/SAS	3
BST 626L	Data Management/SAS Lab	0
BST 631	Statistical Theory I	3
BST 632	Statistical Theory II	3
BST 655	Categorical Data Analysis	3
BST 690	Biostatistical Consulting	0
BST electives *		Minimum - 6
Outside electives **		Minimum - 6
	Minimum Total - 33

* A minimum of 6 credit hours of regular courses of 624 or higher-level.  For those students planning to go on for the PhD, it is a good idea to take more advanced biostatistics courses as electives.

** A minimum of 6 graduate credit hours of electives must be taken from a non-quantitative field (i.e., Biology, Public Health or Medicine).  The academic advisor must approve these 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.