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Goals:

(1) To give the graduates of this program a widely based knowledge of the methods and theory of statistical science, preparing them to enter an applications-based field of their choosing.
(2) To train academic and nonacademic research statisticians who can not only manage and interpret data from a wide variety of sources, but who can develop new methodologies for novel situations.

Program:

The program starts with the current Statistics M.S. curriculum, which is designed to be finished in eighteen months. PhD students in the Traditional Track are required to take:

Fall STAT 6105, Measure and Probability, 3 hours

Spring STAT 6114, Advanced Topics in Statistical Inference, 3 hours

and two more 6000-level statistics courses in addition to STAT 6105 and 6114. These courses may be chosen from the entire list of 6000-level courses offered by the department, and in conjunction with the student's advisory committee. They are required to complete three sections of Special Topics in Statistics (Stat 5984, 1 hour each).
Other requirements are the general departmental requirements for a PhD as described elsewhere in this document, and those imposed by the graduate school.

The traditional track is designed to provide maximum flexibility for students wishing to design a particular course of study that does not fit within the framework of the three specialized tracks. As such, it is very important that the student, in conjunction with his/her advisor and the advisory committee, plan carefully a program of study that provides a coherent set of courses supporting his/her career goals and objectives. By deliberating carefully and choosing wisely you will construct a program that will serve you well for your entire professional career.