The Ph.D. course requirements are sufficiently flexible to allow the student to pursue either a methodological or theory oriented plan of study. The student, in consultation with his/her adviser and Ph.D. advisory committee, can design a course of study to adequately prepare for his/her chosen dissertation topic.

Track I. Ph.D. Specific

1. Pass the Doctoral Candidacy Requirement (DCR) for

  • STAT 520 (4) Introduction to Probability Theory
  • STAT 530 (3) Mathematical Statistics
  • STAT 540 (3) Data Analysis and Regression
  • STAT 640 (4) Design and Linear Modeling I

2. Completion of

  • STAT 620 (3) Introduction to Measure Theoretic Probability
  • STAT 630 (3) Advanced Statistical Data Analysis
  • STAT 720 (3) Probability Theory
  • STAT 730 (4) Advanced Theory of Statistics I

3. Completion of nine credits from the list below, including at least one 700 level elective:

  • STAT 521 (3) Stochastic Processes I
  • STAT 525 (3) Analysis of Time Series I
  • STAT 555 (1) Statistical Consulting Skills and STAT 556 (2) Directed Statistical Consulting
  • STAT 560 (3) Applied Multivariate Analysis
  • STAT 570 (3) Nonparametric Statistics
  • STAT 600 (3) Statistical Computing
  • STAT 605 (3) Theory of Sampling Techniques
  • STAT 623 (3) Spatial Statistics
  • STAT 645 (3) Categorical Data Analysis and GLIM
  • STAT 650 (3) Design and Linear Modeling II
  • STAT 670 (3) Bayesian Statistics
  • STAT 673 (3) Hierarchical Modeling in Ecology
  • STAT 740 (3) Advanced Statistical Methods

Track II. Ph.D. plus M.S. Specific

1. Pass the Doctoral Candidacy Requirement (DCR) for

  • STAT 520 (4) Introduction to Probability Theory
  • STAT 530 (3) Mathematical Statistics
  • STAT 540 (3) Data Analysis and Regression
  • STAT 640 (4) Design and Linear Modeling I

2. Completion of

  • STAT 620 (3) Introduction to Measure Theoretic Probability
  • STAT 630 (3) Advanced Statistical Data Analysis
  • STAT 720 (3) Probability Theory
  • STAT 730 (4) Advanced Theory of Statistics I

3. Completion of twelve credits from the list below, including at least one 700 level elective and including the consulting sequence STAT 555 and STAT 556:

  • STAT 521 (3) Stochastic Processes I
  • STAT 525 (3) Analysis of Time Series I
  • STAT 555 (1) Statistical Consulting Skills and STAT 556 (2) Directed Statistical Consulting
  • STAT 560 (3) Applied Multivariate Analysis
  • STAT 570 (3) Nonparametric Statistics
  • STAT 600 (3) Statistical Computing
  • STAT 605 (3) Theory of Sampling Techniques
  • STAT 623 (3) Spatial Statistics
  • STAT 645 (3) Categorical Data Analysis and GLIM
  • STAT 650 (3) Design and Linear Modeling II
  • STAT 670 (3) Bayesian Statistics
  • STAT 673 (3) Hierarchical Modeling in Ecology
  • STAT 740 (3) Advanced Statistical Methods

 

General Requirements

  1. Students are expected to complete STAT501 in the fall semester of their first year, STAT 592 or STAT 792 (Seminar) each semester, and STAT 684 as requested by the department.
  2. Students must also satisfy the degree and credit requirements mandated by the Graduate School.
  3. In completing their coursework, students may select from pre-designed PhD Tracks, or put together a plan of study with the help of their graduate advisory committee. In the latter case, the plan of study should be consistent with the course requirements stated above, and the students must petition the department graduate committee for approval.

 

Please review our STAT Courses in the Colorado State University Catalog. Thank you.

 

Examinations

THE DOCTORAL CANDIDACY REQUIREMENT (DCR)

Students are admitted into the M.S./Ph.D. program upon acceptance to the Statistics graduate
program. A student will be eligible to begin preparations to undertake research for a Ph.D. thesis
and to choose a Ph.D. thesis advisor once her/his Candidacy Portfolio has been evaluated as Pass by
the Candidacy Review Committee.

A Candidacy Portfolio consists of performance in the Candidacy Courses:
• STAT 520
• STAT 530
• STAT 540
• STAT 640

Annually, the Candidacy Review Committee will review Candidacy Portfolios for all students in May
and for second year students in January.

For each student, the Candidacy Review Committee will review the instructor recommendation for each
Candidacy Course and make an evaluation of Pass, Insufficient, or Fail for the Candidacy Portfolio.
In the case of an Insufficient rating, the Candidacy Review Committee will specify a requirement
for earning a Pass to replace the Insufficient rating. The default requirement is to retake any
course in which an Insufficient rating has been given. An alternate requirement may be specified by
the Candidacy Review Committee, in which case the Committee will specify a time frame and a
standard for earning a Pass in the specified requirement.

The Candidacy Review Committee will evaluate the Candidacy Portfolios for students that have
evaluations for all Candidacy Courses and any additional requirements, and then issue an evaluation
of Pass or Fail for the Portfolio. Earning a Pass for the Candidacy Portfolio satisfies the
Doctoral Candidacy Requirement.

Students must pass the Doctoral Candidacy Requirement within two years beginning from the date of
first enrollment in the Graduate Program.

 

Evaluation of Transfer Students and Requests for Prior Credit

Students may request evaluation of equivalent graduate courses taken at other institutions as
substitutions for one or more of the Candidacy Courses. Such requests must be accompanied by the
syllabus or syllabi of the relevant courses, the instructor(s), and the grade(s) earned. The
Candidacy Review Committee will evaluate each request and make an evaluation of Pass, Conditional,
or Not Accepted. In the case of Conditional, the Candidacy Review Committee will specify a course
in a related subject but at higher level that must be passed with the Instructor recommendation of
Pass. In the case of Not Accepted, the student will take the Candidacy Courses in question.

An Instructor of a course being used to meet an evaluation of Conditional will meet with the
Candidacy Review Committee and make a recommendation.

 

Candidacy Review Committee

The Candidacy Review Committee will consist of all regular faculty.

 

PhD PRELIMINARY EXAMINATION

The Ph.D. preliminary examination is an oral exam administered by the student’s graduate advisory committee after having passed STAT 720 and STAT 730. The Graduate School requires that this examination be administered at least two terms before the final dissertation defense.

 

DOCTORAL DISSERTATION

A satisfactory dissertation must be completed, approved by the student’s graduate advisory committee, and defended in a final oral examination which is open to the University community. The dissertation must constitute original research in statistical theory or applications and must be submitted in a form acceptable to the Graduate School. The student’s dissertation results must be presented in a Departmental seminar.