Graduate programs

The Fariborz Maseeh Department of Mathematics and Statistics offers work leading to the degrees of Master of Arts, Master of Science, the Ph.D. in Mathematical Sciences and the Ph.D. in Mathematics Education as well as the Graduate Certificate for Middle School Mathematics Teachers and the Graduate Certificate in Applied Statistics.

Mathematics M.A./M.S.

Statistics M.S.

M.S. in Mathematics for Teachers

Mathematical Sciences Ph.D.

Mathematics Education Ph.D.

Mathematics for Middle School Mathematics Teachers Graduate Certificate

Applied Statistics Graduate Certificate

Statistics M.S.

The Master of Science in Statistics program is designed for students who wish to pursue careers as practicing statisticians in industry, government, or academia. It is also designed to prepare students for community college teaching or entry into a Ph.D. in Statistics degree program. The degree may be valuable also for people working in other fields who need mastery of a broad range of statistical methods.

Admission

Program prerequisites

Transcript must show successful completion of at least the following undergraduate courses:  basic statistical methods (Stat 244 or higher), introductory analysis/advanced calculus (Mth 311), linear algebra (Mth 261), and differential equations (Mth 256).
Instructions on how to apply: http://www.pdx.edu/math/graduate-admissions

Core requirements (33 credits)

Candidates must complete an approved 45-credit program, which includes at least 33 core credits in courses with the Stat prefix. These 33 credits must include courses distributed as follows:

Two 9-credit sequences:

Stat 561Mathematical Statistics I

3

Stat 562Mathematical Statistics II

3

Stat 563Mathematical Statistics III

3

And

Stat 564Applied Regression Analysis

3

Stat 565Experimental Design: Theory and Methods

3

Stat 566Experimental Design: Theory and Methods

3

One 9-credit sequence chosen from

Stat 661Advanced Mathematical Statistics I

3

Stat 662Advanced Mathematical Statistics II

3

Stat 663Advanced Mathematical Statistics III

3

or

Stat 664Theory of Linear Models I

3

Stat 665Theory of Linear Models II

3

Stat 666Theory of Linear Models III

3

or

Mth 667Stochastic Processes and Probability Theory I

3

Mth 668Stochastic Processes and Probability Theory II

3

Mth 669Stochastic Processes and Probability Theory III

3

Topics in Statistical Consulting (3 credits)

Stat 570Statistical Consulting

1-3

Stat 570 is currently offered during Spring term only.

STAT 501 Statistical literature and problems (3 credits)

Stat 501Research

1-6

Electives (12 credits)

A total of 12 elective credit hours must be completed. The following list of courses is pre-approved for elective credit.

Stat 571Applied Multivariate Statistical Analysis

3

Stat 573Computer Intensive Methods in Statistics

3

Stat 576Sampling Theory and Methods

3

Stat 577Categorical Data Analysis

4

Stat 578Survival Analysis

3

Stat 661Advanced Mathematical Statistics I

3

Stat 662Advanced Mathematical Statistics II

3

Stat 663Advanced Mathematical Statistics III

3

Stat 664Theory of Linear Models I

3

Stat 665Theory of Linear Models II

3

Stat 666Theory of Linear Models III

3

Stat 567Applied Probability I

3

Stat 568Applied Probability II

3

Mth 667Stochastic Processes and Probability Theory I

3

Mth 668Stochastic Processes and Probability Theory II

3

Mth 669Stochastic Processes and Probability Theory III

3

USP 655Advanced Data Analysis: Structural Equation Modeling

3

Other statistically orientated courses outside the Department and other mathematics courses may be substituted, but must be approved as electives by the statistics graduate program advisor. "Approved as elective" means that it is approved inside the 12 elective credit hours but not inside the 33 statistical credit hour core requirements. A course or sequence cannot be counted both within the 33-hour core and as an elective course or sequence.

MS Examinations

Students must pass two examinations, one in Mathematical Statistics which covers Stat 561, Stat 562, Stat 563 and one in Applied Statistics which includes the core topics covered in Stat 564, Stat 565, and Stat 566 . Examinations are scheduled twice per year, the week before the Fall term and during the first week of Spring term. It is possible for students to sign up for examinations up to 10 days before the exam is scheduled.  Students may cancel signups for MS exams up to 48 hours before an exam is given. Students may take any examination at most two times. Students must be registered for and complete at least one graduate credit during the term in which they take an exam. An information sheet detailing the  MS examination policy as well as syllabi for the two examinations may be emailed upon request. The last three years of previous MS examinations are also available upon request.  For clarity, below is the grading policy for the MS Exam in Applied Statistics.

Grading Policy for the MS Exam in Applied Statistics

The Applied Statistics Exam is comprised of two components:

  1. Applied regression analysis
  2. Design of experiments and ANOVA

Both components consist of a written exam portion and a separate, in-laboratory, statistical computing applications portion.  The Applied Statistics Exam may be repeated once; that is, a maximum of two tries is permitted.

A Pass (P) or Fail (F) is given on each component.

  • Two P's equal a PASS on the exam.
  • One P equal a CONDITIONAL PASS on the exam. The Examination Committee will inform the student of the requirements for removal of the Conditional.
  • Two F's equal a FAIL on the exam. In this case the entire exam must be retaken.

Planning an MS degree program

The department projects its future 600-level offerings. These projections enable students to plan programs that include any necessary 500-level prerequisites. Students also need to plan a program that will prepare them to pass the two MS examinations. Students entering the program with core courses Stat 561, Stat 562, Stat 563 and Stat 564, Stat 565, Stat 566 successfully completed and considering future pursuit of the Ph.D. are encouraged to take Mth 511, Mth 512 and in addition to the required 600 level sequence, at least one additional sequence from among Stat 661, Stat 662, Stat 663, Stat 664, Stat 665, Stat 666, and Mth 667, Mth 668, Mth 669. All students are urged to meet with the graduate program advisor regarding degree requirements and for help with program planning.

STAT 501 Statistical literature and problems

In this required course for the MS in Statistics, a student works under the supervision of a faculty member in an area of probability and statistics in which the student has acquired the background needed to read current probability and statistical literature, prepare a research paper, and present this research in a colloquium. Requirements for the course are listed separately on the handout: Guidelines and Deadlines for Stat 501 Statistical Literature and Problems.