The following requirements apply to the
doctoral degree in statistics. For more information,
consult the Graduate
Degree Programs Bulletin (the "white book").
Candidacy Examination
To be admitted to Ph.D. candidacy, the student must
pass the Master's exam and Ph.D. qualifying examination. The latter exam is
based on STAT 551 Linear Models I
and STAT 553 Asymptotic Tools. The
student is expected to take this exam at the end of
the fall semester in the second year, or at the first
opportunity. The qualifying exam may be repeated once.
Incoming students with a master's degree in statistics
from another university may, with permission of the
Graduate Studies Committee, take the master's exam in August and begin with STAT 551 and 553. These students
would be expected to take the Ph.D. qualifying exam
at the end of their first semester.
Core Course Requirements
In addition to STAT 511 through STAT
515,
the following courses are required for the Ph.D.:
- 3 credits in mathematical analysis (MATH
403) --
students who demonstrate completion of an equivalent
course may have this requirement waived
- 3 credits in probability theory (STAT 517)
- 3 credits in statistical inference and asymptotic
theory (STAT 561)
- 3 credits in linear models (STAT 551)
- 3 credits in asymptotic tools (STAT 553)
- 2 credits of colloquium
- 18 credits of electives taken from STAT
518, 544, 545,
552, 562, 564, 565, and 572, or other courses suggested
by your committee
- 3 credits of statistical consulting practicum (STAT
580, 581)
Graduate School Oral Comprehensive Examination
During the third year, students are expected to form
a Ph.D. committee and schedule the Graduate School oral
comprehensive examination. This comprehensive exam, as
described in the Graduate
Degree Programs Bulletin, will have a written component,
whose content will be determined and administered by
the student's Ph.D. graduate committee, and an oral component,
which includes the presentation of a thesis research
proposal.
Dissertation
The student must submit and defend a doctoral thesis.
The oral defense will typically include a public presentation
of the thesis, followed by questioning by the committee.
Foreign Language
There is no foreign language requirement for a Ph.D.
in Statistics.
Elective Courses for the Ph.D. Options
The Ph.D. in Statistics provides options in Biometrics,
Biostatistics, Environmental Statistics, Genometrics,
and Management Science. The requirements for these
options are similar to those for the Ph.D. in Statistics.
They differ only in the choice of electives. The degree
awarded will still be the Ph.D. in Statistics.
Elective courses in the core course requirements may
be replaced by the following electives.
Biometrics Electives: 15 credits
from STAT 503, 505,
506, 510, 524, 525, 526, 540, 544, 552, or topics courses
approved by the student's committee.
Biostatistics Electives: 15 credits
from STAT 505, 506, 510, 525, 526, 544, 545, 552, and
SOC 576 Applied Mathematical Demography; or topics
courses approved by the student's committee.
Environmental Statistics Electives: 15 credits from
STAT 506, 508, 510, 524, 525, 527, 528, 544, 548, and
552, or topics courses approved by the student's committee
from areas such as quantitative ecology, spatial statistics,
remote sensing, geography, resource modeling, environmental
epidemiology, environmental policy, etc.
Genometrics Electives: 15 credits
from STAT 597 Topics in Genometrics; IBIOS 598 Genomics,
BIOL/CSE 597 Bioinformatics; GEN 597 Molecular Genetic
Analysis; STAT 503, 505; IBIOS 591 Ethics.
Sample study programs
Here are some sample study programs:
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