Background in mathematics, statistics, or a quantitative field, with 30 or more quarter credits in mathematics and statistics, to include a year of advanced (second-year) calculus, one course in linear algebra, and one course in probability theory; Graduate Record Examination scores (the Advanced Mathematics subject test is strongly encouraged but not required); a statement of purpose; and three letters of recommendation from appropriate former or current faculty.
Ph.D. Degree requirements for Statistics students entering Fall 2012 (and optional for students entered Fall 2011)
- Theory: Pass MS Theory exam (unless waived; see note 1a) and satisfactory performance (see note 1b) in STAT 581-582-583.
- Methodology: Satisfactory performance (typically 3.0) in STAT 570-571 (see note 2).
- Math: Satisfactory performance (typically 3.0) in MATH 574-575-576 OR equivalent.
- Computing: Satisfactory performance (typically 3.0) in STAT 534 OR equivalent (see NOTE 4).
- Seminar: Attendance at the statistics seminar (one credit of STAT 590 per quarter).
- Consulting / Applied: Satisfactory performance in 3 credits of STAT 599 and a consulting project. Here are the full details of the requirement.
- Elective classes: Satisfactory performance in a minimum of four approved 500-level classes which, together with STAT 581-582-583 and 570-571, form a coherent Statistics program. (see note 3).
- PhD students must serve as a Teaching Assistant for at least one quarter.
- Qualifying Exam: Pass the Research Paper Prelim Ph.D. exam.
- Dissertation Credits: Three quarters (9 credits each quarter) of STAT 800.
- General exam: Successful presentation of a dissertation proposal (normally to be completed after 1-8). Must be scheduled at least three weeks in advance.
- Final exam: Successful defense of the dissertation. Must be scheduled at least three weeks in advance.
- Note 1a: The MS Theory exam is waived for students bypassing 512-513 if at least an average 3.3 grade is achieved in 581-582-583.
- Note 1b: Satisfactory performance is here a minimum 2.7 grade and average 3.0 grade over the three classes.
- Note 2: STAT 502 and STAT 504, or equivalent, are prerequisites for 570-571.
- Note 3: Suitable courses in Statistics include
516-517, 535-538, 521-522-523, 519-520-530, 542, 544. Suitable courses offered by other departments include BIOST 533, EE 512, GENOM 562, MATH 516, SOC 533. This is not an exhaustive list. Many other classes, both in STAT/BIOST and in other departments, are also suitable. Students should consult the graduate program coordinator and their advisor regarding appropriate sets of four or more classes.
- Note 4: All PhD students should take 534 in Spring of their FIRST year UNLESS it is specifically waived.
- Statistical Genetics (StatGen) PhD Track: Students in the StatGen track may replace STAT 570-571 by STAT 516-517. (Applied methodology at the level of STAT 502 and STAT 504 is required.) Students in the StatGen track must take the StatGen core curriculum, including StatGen seminar (BIOST581) and background classes. Details may be found at here.
- CSSS PhD Track: Details of the CSSS Ph.D. Track in Statistics may be found at here.
- Machine Learning and Big Data:
Details of the Machine Learning and Big Data Ph.D. Track may be found here.
(Updated September 2013)