Objective
The goal of the Statistics Ph.D. program is to train students to conduct original methodological and/or theoretical research in statistics and to apply advanced statistical methods to scientific problems. Students are expected to take advanced graduate classes in the theory and applications of statistics and other relevant classes. The Ph.D. program requires a Qualifying Exam, a Ph.D. Comprehensive Exam and a Final Oral Exam. The Ph.D. requires 90 hours of graduate credit, including a dissertation. At least 45 hours must be completed at UNL after the filing of the program of studies, which must be approved by the student’s Ph.D. graduate committee. The Ph.D. program will normally include at least 12 hours and at most 55 hours of dissertation research. In addition, there are specific course requirements.
Requirements for the Ph.D. Degree
The Ph.D. Qualifying Exam
Entrance into the Department's Ph.D. program is partially determined by the Ph.D. Qualifying Exam. The exam is a written exam over the MS core course that assesses preparedness for the Ph.D. program. Students are allowed to take the exam if they have a GPA of at least 3.5 in their MS and Ph.D. core courses taken, where a grade of B- or higher is needed in each course as well. This test is given in early January and in late May each year. Pass/No Pass grades for the exam are assigned by the Ph.D. Qualifying Exam Committee. Students have two attempts to receive a Pass grade; a third attempt can be granted by a majority vote of the Department’s faculty if extreme circumstances prevented a student from achieving a Pass. The Exam Committee will inform the student of his/her exam result within two weeks from the last day of the exam.
Core Courses
At least 90-credit hours for a Ph.D. degree. Most students will use their M.S. degree credit hours earned (from UNL or another university) to account for approximately 1/3 of these hours. A typical Ph.D. program will also include dissertation hours (STAT 999) for approximately 1/3 of these hours.
Students are required to complete the following core courses (final grade of B- or higher):
- STAT 950: Computational Statistics
- STAT 980: Advanced Probability Theory I
- STAT 982: Advanced Inference
- STAT 983: Statistical Learning
- **STAT 984: Asymptotics & Applications
** Students may take STAT 981 in place of STAT 984
Students not obtaining the necessary grade level in any core course may need to re-take it. A student’s Supervisory Committee makes this decision. Six additional credit hours from 900-level elective courses are required as well, excluding STAT 997, STAT 999.
Finding a Faculty Advisor & Forming a Supervisory Committee
Full acceptance into the Department’s Ph.D. program requires that the student choose a faculty advisor (or a temporary sponsor) and form a Ph.D. Supervisory Committee within one month after passing the Ph.D. Qualifying Exam. The student's advisor will chair the Supervisory Committee and direct the dissertation.
*Please note: Full acceptance into the Department’s Ph.D. program does not guarantee funding by the university.
PhD Course Plan
Year 1
Fall (Semester 1): 10 credits | Spring (Semester 2): 9 credits |
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STAT 810: Alpha Seminar | STAT 822: Statistical Methods II |
STAT 821: Statistical Methods I | STAT 883: Mathemathical Statistics II |
STAT 850: Computing Tools | Elective |
STAT 882: Mathematical Statistics I | Form supervisory committee (MS) |
*STAT 892: TA Prep |
*Required for all Teaching Assistants (TA) only
Year 2
Fall (Semester 3): 9 credits | Spring (Semester 4): 9 credits |
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STAT 823: Statistical Methods III | Elective |
STAT 825: Principles of Statistical Consulting | PhD Qualifying Exam: January or May |
Elective |
Year 3
Fall (Semester 5): 9 credits | Spring (Semester 6): 9 credits |
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STAT 950: Computational Statistics | STAT 980: Advanced Probability Theory I |
**STAT 984: Asymptotics & Applications | STAT 900-level course |
Elective | Elective |
Form supervisory committee (PhD) |
**May take STAT 981 in place of STAT 984
Year 4
Fall (Semester 7): 9 credits | Spring (Semester 8): 9 credits |
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STAT 982: Advanced Inference | STAT 983: Statistical Learning |
STAT 900-level course | STAT 999: Dissertation Research |
STAT 999: Dissertation Research | Elective |
PhD Comp Exam |
Year 5
Fall (Semester 9): 9 credits | Spring (Semester 10): 8 credits |
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STAT 999: Dissertation Research | STAT 999: Dissertation Research |
Elective | Final Oral Exam |
Ph.D. Program Timeline
Stay On Track!
Follow the Doctoral Degree Steps to Completion from the Office of Graduate Studies