Program Requirements
General Program Requirements:
Number of Credits Required Beyond the Baccalaureate:Ìý48
Required Courses:
| Code | Title | Credit Hours |
|---|---|---|
| Core Courses | ||
| ³§°Õ´¡°ÕÌý8001 | Probability and Statistics Theory I | 3 |
| ³§°Õ´¡°ÕÌý8002 | Probability and Statistics Theory II | 3 |
| ³§°Õ´¡°ÕÌý8003 | Statistical Methods and Concepts | 3 |
| ³§°Õ´¡°ÕÌý8004 | Statistical Modeling and Inference | 3 |
| ³§°Õ´¡°ÕÌý9001 | Advanced Statistical Inference I | 3 |
| ³§°Õ´¡°ÕÌý9002 | Advanced Statistical Inference II | 3 |
| Electives | ||
| Select eight from the following, with at least two courses taken at the 9000 level: 1 | 24 | |
³§°Õ´¡°ÕÌý8031 | Probability and Large Sample Theory | |
³§°Õ´¡°ÕÌý8101 | Stochastic Processes | |
³§°Õ´¡°ÕÌý8102 | High Dimensional Inference | |
³§°Õ´¡°ÕÌý8103 | Sampling Theory | |
³§°Õ´¡°ÕÌý8104 | Mathematics for Statistics | |
³§°Õ´¡°ÕÌý8105 | Univariate Time Series Analysis | |
³§°Õ´¡°ÕÌý8106 | Linear Models I | |
³§°Õ´¡°ÕÌý8107 | Design of Experiments I | |
³§°Õ´¡°ÕÌý8108 | Applied Multivariate Analysis I | |
³§°Õ´¡°ÕÌý8114 | Survival Analysis I | |
³§°Õ´¡°ÕÌý8115 | Nonparametric Methods | |
³§°Õ´¡°ÕÌý8116 | Categorical Data Analysis | |
³§°Õ´¡°ÕÌý8117 | Clinical Trials | |
³§°Õ´¡°ÕÌý8121 | Statistical Computing and Optimization | |
³§°Õ´¡°ÕÌý8123 | Time Series Analysis and Forecasting | |
³§°Õ´¡°ÕÌý9101 | Multivariate Time Series Analysis | |
³§°Õ´¡°ÕÌý9103 | Stat Lrng & Data Mining | |
³§°Õ´¡°ÕÌý9106 | Linear Models II | |
³§°Õ´¡°ÕÌý9107 | Design of Experiments II | |
³§°Õ´¡°ÕÌý9108 | Multivariate Analysis II | |
³§°Õ´¡°ÕÌý9114 | Survival Analysis II | |
³§°Õ´¡°ÕÌý9116 | Statistical Genetics: An Advanced Graduate Course | |
³§°Õ´¡°ÕÌý9180 | Seminar in New Topics in Statistics | |
³§°Õ´¡°ÕÌý9190 | Seminar in New Topics in Statistics | |
| Research Courses 2 | 6 | |
³§°Õ´¡°ÕÌý9994 | Preliminary Examination Preparation | |
³§°Õ´¡°ÕÌý9998 | Pre-Dissertation Research | |
³§°Õ´¡°ÕÌý9999 | Dissertation Research | |
| Total Credit Hours | 48 | |
- 1
With prior approval from the Director of Graduate Programs in Statistical Science, students may select electives outside of Statistics.
- 2
A minimum of 2 credits of ³§°Õ´¡°ÕÌý9999 must be taken. The remaining 4 credits may be earned in any combination of ³§°Õ´¡°ÕÌý9994, ³§°Õ´¡°ÕÌý9998 and/or ³§°Õ´¡°ÕÌý9999.
Additional Requirement: Completion of a Summer research paper is required.
Culminating Events:
Statistics Competency Examination:
An assessment of students' proficiency in statistical theory and methodology is made at the end of their first year in the program with an exam offered in June. Students who fail the statistics competency examination on the first attempt must sit for reexamination prior to the Fall term of their second year. A second failure results in dismissal from the University. No third attempt is allowed.
Preliminary Examination:
The purpose of the preliminary examination is to demonstrate critical and interpretive knowledge of current research. The subject areas are determined, in advance, by the faculty of the department. The preliminary exam should be completed no more than one term after the student completes the coursework component of the program. Students who are preparing to write their preliminary examinations should confirm a time and date with their departmental advisor.
The members of the student's department write the questions for the preliminary exam. The student must answer every question on the examination in order to be evaluated by the Department Committee. The evaluators look for a breadth and depth of understanding of specific research areas, a critical application of that knowledge to specific phenomena, and an ability to write technical prose. Each member votes to pass or fail the student. In order to pass, a majority of the committee members must agree that the exam has been satisfactorily completed.
Proposal:
The dissertation proposal demonstrates the student's knowledge of and ability to conduct the proposed research. The proposal should consist of the context and background surrounding a particular research problem, an exhaustive survey and review of literature related to the problem, and a detailed methodological plan for investigating the problem.
The proposal should be completed and approved no more than one year after completing coursework. Upon approval, a timeline for completing the investigation and writing process is established.
Dissertation:
The doctoral dissertation is an original empirical study that makes a significant contribution to the field. It should expand the existing knowledge and demonstrate the student's knowledge of both research methods and a mastery of their primary area of interest. Dissertations should be rigorously investigated; uphold the ethics and standard of the field; demonstrate an understanding of the relationship between the primary area of interest and the broader field of business; and be prepared for publication in an academic journal.
The Doctoral Advisory Committee is formed to oversee the student's doctoral research and is comprised of at least three Graduate Faculty members. Two members, including the Chair, must be from the student's department. The Chair is responsible for overseeing and guiding the student's progress, coordinating the responses of the committee members, and informing the student of their academic progress.
The Dissertation Examining Committee evaluates the student's dissertation and oral defense, including the student's ability to express verbally their research question, methodological approach, primary findings and implications. The Dissertation Examining Committee votes to pass or fail the dissertation and the defense at the conclusion of the public presentation. This committee is comprised of the Doctoral Advisory Committee and at least one additional faculty member from outside the department.
If any member decides to withdraw from the committee, the student shall notify the Chair of the Dissertation Examining Committee and the Director of Graduate Programs in Statistical Science. The student, in consultation with the Chair, is responsible for finding a replacement. Inability to find a replacement shall constitute evidence that the student is unable to complete the dissertation. In such a case, the student may petition the Director of Graduate Programs in Statistical Science for a review. Once review of the facts and circumstances is completed, the Director rules on the student's progress. If the Director rules that the student is not capable of completing the dissertation, the student is dismissed from the program. This decision may be appealed to the Senior Associate Dean. If dismissed, the student may appeal to the Graduate School.
Students who are preparing to defend their dissertation should confirm a time and date with their Dissertation Examining Committee and register with the Graduate Secretary at least 15 days before the defense is to be scheduled. The Graduate Secretary arranges the time, date and room within two working days, and forwards to the student the appropriate forms. After the Graduate Secretary has scheduled the defense, the student must send to the Graduate School a completed "Announcement of Dissertation Defense" form, found in TUportal under the Tools tab within "University Forms," at least 10 days before the defense. The department posts flyers announcing the defense, and the Graduate School announces the defense on its website.