Department of Statistical Science

Graduate Program

 

The Department of Statistical Science is renowned for producing graduates who are equally adept in positions in academia, industry, government, or any other employment where state of the art statistical theory or methods are needed. Graduates of our program are not only highly educated in the theoretical principles of statistics but they are also trained and experienced in selecting or developing statistical methods that are the most appropriate for an intended application. Written and oral presentation skills are developed throughout the graduate program. In essence, our graduates are prepared to perform as highly trained professional statisticians when they leave our program.

 

This document outlines the intent and focus of our graduate program. Our program is not stagnant; it evolves as advances in the science and practice of statistics emerge. Details about the graduate curriculum and degree requirements are contained in the document Graduate Curriculum.

 

I. Curriculum Objective

 

          Each student successfully proceeding in the Department of Statistical Science passes through one or both of two phases of development.  The first phase, culminating with the awarding of a Master of Science Degree, emphasizes breadth and fundamental knowledge of a wide variety of statistical theory and applications. The second phase - one which the student must be invited to enter and which generally requires excellent performance during the Master’s program - stresses depth. Its successful completion results in the award of the Doctor of Philosophy degree.

II. Master’s Program

 

          The emphasis in the master’s program is on developing a fundamental breadth in both theory and applications. The master’s program generally requires two years after the baccalaureate degree. The goal of the Department of Statistical Science is for the Master of Science (M.S.) degree candidate to be able to apply statistical thinking, principles, and methods in a variety of situations which may be faced upon graduation.  With this in mind, the M.S. curriculum stresses applied courses and encourages the student to become knowledgeable in as many different applied areas as possible. Computational skills are extensively developed and emphasized in a variety of courses.

          To meet this goal, during the first year in our program all graduate students are required (unless previous coursework is deemed equivalent by the Graduate Advisor and Chair of the department) to complete a two-semester course in theoretical principles of statistics, Mathematical Statistics (6327, 6328), a two semester course in statistical methods, Statistical Analysis (6336, 6337), and an introductory course in statistical computing, Computational Statistics (6304). With the aid of the department’s Graduate Advisor (see Section IV), each student will draw up a course schedule which should reflect both the departmental requirements and the student’s interests.

III.    Ph.D. Program

 

          Students who successfully complete the Master’s degree will be invited to proceed to the doctoral program.  This program stresses strong theoretical foundations and requires students to demonstrate depth in one or more areas of specialization. The degree program outlined below presumes that a student has completed the first two years in our program and has satisfied all the requirements for the M.S. degree. Students entering our graduate program with a Master’s degree in statistics from another department may not need to complete the two-year program outlined for the M.S. degree. Students entering with a M.S. degree also may take some courses ordinarily taken by second- and third-year graduate students. The courses of study they will undertake are determined in consultation with the Director of Graduate Studies when they enter the program.

The doctoral phase of the graduate program consists of advanced theoretical courses required of all doctoral candidates and specialized courses in the field of intended dissertation research. Students in the doctoral phase of the program need not select an area of intended research until completion of the Ph.D. written examination but they are encouraged to limit their possible areas at the beginning of the third year so that they can choose coursework most closely related to their likely research area(s). If an intended research area is identified, a doctoral candidate may, with approval of the Graduate Advisor and the intended director of the dissertation, elect to take one specialized study course each semester of the third year that will focus explicitly on the intended dissertation research topic.

          The oral defense of the written dissertation is the culmination of the student’s training. The written dissertation demonstrates the student’s ability to conduct research at an advanced and sophisticated level.  The oral defense is ordinarily a pleasure for the student and the dissertation committee. When feasible, the dissertation defense will be included in the department’s regularly scheduled seminar series. All graduate students are encouraged to attend each dissertation defense.

IV. Advisors and Committees

 

          On entering the Department each new student initially is advised by the department’s Graduate Advisor.  The Graduate Advisor will discuss the student’s goals, interests, and desires, will aid the student in the selection of courses, and will act as a source of information regarding policies of the department and university.  The course schedule is based on the student’s interests and the availability of courses.  The advisor also will act as a student’s representative to the faculty.

          Faculty advisors are assigned to graduate students by the Graduate Advisor at the completion of the first year. Faculty advisors perform the same duties as the Graduate Advisor does for first-year students. They also promote the student’s advancement by counseling them on career goals and assisting them in identifying and selecting courses that will enhance the student’s progress toward successful fulfillment of their goals.

          Students invited to continue for the Ph.D. degree may change advisors at any time and invite whomever they choose from among the full-time faculty of the Department of Statistical Science to serve as an advisor.  It is particularly important that the doctoral candidate choose (by mutual consent) the dissertation director carefully and as soon as possible in the third year of coursework.  This choice should reflect the mutual interests of both the student and advisor