Requirements
In order to receive a Ph.D. degree, the student must:
- Take a total of 30 hours of courses carrying graduate credit, of which at least 18 are at the 600/700 level and not less than 12 hours are at the 600/700 level in statistics and probability (STAT).
- Satisfy the qualifying exam requirements in one of the two following ways:
Option 1
- Pass any 2 of the 3 qualifying exams:
- Applied Statistics – topics covered in course sequence STAT 740/741
- Statistics – topics covered in course sequence STAT 700/701
- Probability – topics covered in course sequence STAT 600/601
- Complete course sequence of the exam you choose not to take
- Complete two additional courses from the list below:
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- STAT 650 (Applied Stochastic Processes)
- STAT 702 (Survival Analysis)
- STAT 705 (Computational Statistics)
- STAT 730 (Time Series)
- STAT 750 (Multivariate Analysis)
- STAT 770 (Categorical Data Analysis)
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Option 2
- Pass all 3 qualifying exams in statistics
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- Applied Statistics – topics covered in course sequence STAT 740/741
- Statistics – topics covered in course sequence STAT 700/701
- Probability – topics covered in course sequence STAT 600/601
Note: All courses completed must be at least B (3.0) and the overall GPA must be at least 3.3 for the courses used to satisfy this requirement.
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- Give an acceptable Doctoral Candidate's Presentation (oral presentation) in an area of current research to be admitted to candidacy. Please request Application for Candidacy Forms from the math & stat grad office ()
- Participate in the probability and statistics seminar and statistics workshop (STAT 689)
- This participation will be checked and enforced by the thesis advisor
- Pass the final oral examination. This includes the following:
- Be admitted to candidacy no later than the year previous to the one in which the degree is granted.
- Prepare a dissertation representing an original contribution to existing knowledge of statistics, probability, or related area
