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.
- Theory: Pass the MS or PhD theory exam.
- Methodology: Satisfactory performance (typically 3.0) in either STAT 502-504 OR STAT 570-571-572 OR pass an MS or PhD applied exam.
- Math: Satisfactory performance (typically 3.0) in MATH 574-575-576 OR equivalent.
- Computing: Satisfactory performance (typically 3.0) in STAT 534 OR equivalent.
- Seminar: Attendance at the statistics seminar (one credit of STAT 590 per quarter).
- Consulting /
Applied: Here are
the full details of the requirement. In short, the requirement
- For students admitted in 2010 and after: Statisfactory performance in 3 credits of STAT 599 and a consulting project.
- For students admitted in 2009 and earlier: Either 1) Satisfactory performance in 3 credits of STAT 599 and a consulting project, or 2) Satisfactory performance in 6 credits of STAT 599.
- Core sequences: Satisfactory performance in three approved core course sequences. Choose sequences from: Theory, Methodology, Computing, Stochastic, Probability, and at most one of Stat Gen or CSSS.
- Qualifying Exams: Pass two Ph.D. qualifying exams.
- Dissertation Credits: Three quarters (9 credits each quarter) of STAT 800, at least one quarter of which must be after the general exam.
- General exam: Successful presentation of a dissertation proposal (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.
- There are approved Ph.D. tracks in statistical genetics, statistics in the social sciences, and machine learning and big data. The graduation requirements for these tracks may replace, or be in addition to, some of the requirements listed above.
- In some cases, waivers for some of the requirements can be made at the discretion of the graduate program coordinator (e.g. the requirements with "equivalent" options). Waivers should be requested in the first year of graduate study, and obtained in writing or email.
- See also the University requirements:
- For further information contact the graduate program assistant Ellen Reynolds.
(Updated December 2010)