### Ph.D. In Mathematics - Statistics Emphasis

The Department of Mathematics and Statistics has adopted the following course requirements for the Ph.D. degree. Any of these courses may be a part of the M.S. program, since Missouri S&T courses taken for the M.S. degree may be included in the Ph.D. program of studies.

**Important Note:** There are two different sets of requirements below labeled “New Requirements” and “Previous Requirements.” The “New Requirements” must be followed by all students who enter our program on, or after, January 1, 2013. Students who entered our program before this date have the option of choosing to follow either the “New Requirements” or the “Previous Requirements.” All students must satisfy the Ph.D. Language Requirement below.

**New Requirements** (see important note above):

A Ph.D. program with emphasis in statistics must include:

- MATH 5108 or MATH 6108
- All of the following courses:

MATH 5215 (Introduction to Real Analysis),

STAT 5346 (Regression Analysis),

STAT 6343 (Nonparametric Statistical Methods),

STAT 6344 (Experimental Design),

STAT 6553 (Linear Statistical Models I),

STAT 6557 (Advanced Statistical Inference I),

STAT 6558 (Advanced Statistical Inference II). - Four of the following courses:

MATH 6215 (Functions of a Real Variable I),

STAT 6001 (Categorical Data Analysis),

STAT 6001 (Clinical Trials),

STAT 6001 (Epidemiology),

STAT 6554 (Linear Statistical Models II),

STAT 6545 (Multivariate Analysis),

STAT 6570 (Theory of Reliability),

STAT 6814 (Statistical Time Series Analysis),

STAT 6841 (Stochastic Processes),

STAT 6846 (Intermediate Probability).

All students who intend to pursue the Ph.D. degree must take the **Ph.D. Qualifying Examination** within the first few semesters of entering our program. At this time the student also should identify an area of emphasis. A typical program of study for a Ph.D. student in statistics includes at least 72 hours (90 is more common) of graduate work beyond the bachelor's degree, consisting of coursework and research. In addition, there is a **Ph.D. Comprehensive Examination** and the **Ph.D. Thesis Defense**. Demonstrated competence in a computer programming language is required for the Ph.D. degree with emphasis in statistics. Please see the **Graduate Catalog** for more details.

**Previous Requirements** (see important note above):

A Ph.D. program with emphasis in statistics must include:

- All of the following courses:

MATH 5215 (Introduction to Real Analysis),

STAT 5346 (Regression Analysis),

STAT 6343 (Nonparametric Statistical Methods),

STAT 6344 (Experimental Design),

STAT 6553 (Linear Statistical Models I). - Five of the following courses:

MATH 6215 (Functions of a Real Variable I),

STAT 6554 (Linear Statistical Models II),

STAT 6545 (Multivariate Analysis),

STAT 6570 (Theory of Reliability),

STAT 6657 (Advanced Mathematical Statistics I),

STAT 6658 (Advanced Mathematical Statistics II),

STAT 6841 (Stochastic Processes),

STAT 6846 (Intermediate Probability).

All students who intend to pursue the Ph.D. degree should plan to take the **Ph.D. Qualifying Examination** soon after completing an M.S. program. At this time the student also should identify an area of emphasis. A typical program of study for a Ph.D. student in statistics includes at least 72 hours (90 is more common) of graduate work beyond the bachelor's degree, consisting of coursework and research. In addition, there is a **Ph.D. Comprehensive Examination** and the **Ph.D. Thesis Defense**. Demonstrated competence in a computer programming language is required for the Ph.D. degree with emphasis in statistics. Please see the **Graduate Catalog** for more details.

**Ph.D. Language Requirement**

**Ph.D. in Mathematics, Statistics Emphasis**. All students who are doctoral candidates in mathematics with statistics emphasis must show programming competency in one programming language, chosen from C, C++, FORTRAN, or another programming language approved by the student's Ph.D. advisory committee, prior to his/her completion of the doctoral degree. This requirement can be satisfied by any one of the following: (1) obtaining a grade of B or better in a semester-long programming course in the programming language, taken for graduate or undergraduate credit, no earlier than six years before the awarding of the Ph.D., (2) successfully completing a programming project of sufficient complexity as determined by the student's Ph.D. advisory committee. A computing component of master's or doctoral research done by the student may satisfy this requirement if approved by the student's Ph.D. advisory committee, (3) earning a grade of B or better in a graduate-level course in statistical computing. Also, with the approval of the student's Ph.D. advisory committee, the programming competency requirement may be met by satisfying the foreign language requirement of doctoral student pursuing a Ph.D. degree with the mathematics emphasis.

The Mathematics & Statistics Department shall establish a "Ph.D. Language Committee" to aid the advisory committees in administering either of the above requirements. This committee shall consist of four departmental faculty members, at least one of whom shall be a statistician, who are members of the Graduate Faculty, elected by the department to two-year terms, and members may succeed themselves. The Ph.D. Language Committee shall aid the advisory committees as needed in choosing material to be translated, grading the translations, and help statistics students' advisory committees with details related to the programming competency requirement.

(Revised 8/18/15)