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 is also valuable for people working in other fields who need mastery of a broad range of statistical methods.

Admission

Program prerequisites

Transcript(s) must show successful completion of at least the following undergraduate courses:  Advanced Statistical Methods, Introductory Analysis/Advanced Calculus, Linear Algebra, and Differential Equations. These courses are equivalent to PSU's Stat 452 or higher, Mth 311, Mth 261, and Mth 256.

In addition to program prerequisites, applicants must meet the university's minimum admission requirements including English language proficiency.

This program admits once per year for fall term only. See instructions on how to apply: https://www.pdx.edu/math/graduate-application-instructions.

Degree Requirements

Candidates must complete an approved 45-credit program, which includes at least 33 core credits in courses with the Stat prefix. In addition, students must pass two examinations, one in Mathematical Statistics and one in Applied Statistics.

A student must have a minimum 3.00 GPA on the courses applied to the program of study, as well as a minimum 3.00 GPA in all graduate-level courses taken at PSU. Although grades of C+, C, and C- are below the graduate standard, they may be counted as credit toward a master’s degree with the specific written approval of the department if taken at PSU after the term of formal admission to the graduate program.

Students are responsible for knowing University-level graduate policies and procedures for obtaining the degree. These policies and procedures are in the Graduate School section of the PSU Bulletin. Several of the most frequently asked about University-level graduate policies and procedures can also be found on the Graduate School website.

Core requirements (33 credits)

The 33 core 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 I

3

Stat 566Experimental Design: Theory and Methods II

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

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

or

Stat 671Statistical Learning I

3

Stat 672Statistical Learning II

3

Stat 673Statistical Learning III

3

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 572Bayesian Statistics

3

Stat 573Computer Intensive Methods in Statistics

3

Stat 576Sampling Theory and Methods

3

Stat 577Categorical Data Analysis

4

Stat 578Survival Analysis

3

Stat 580Nonparametric Methods

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

Stat 671Statistical Learning I

3

Stat 672Statistical Learning II

3

Stat 673Statistical Learning III

3

CS 545Machine Learning

3

Ec 572Time Series Analysis and Forecasts

4

USP 655Advanced Data Analysis: Structural Equation Modeling

3

Psy 526Multilevel Regression

4

Other statistically oriented courses outside the Department and other mathematics courses may be substituted, but must be approved as electives by the statistics graduate program adviser. "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 offered twice a year, the week prior to the start of fall term and during the first week of spring term. Students may take any examination at most two times. Students must be registered for and complete at least one graduate credit during the term(s) in which they take an exam. For complete details see the full MS Exam Policy (https://www.pdx.edu/math/ms-exam-policy). 

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 equals 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.

 

STAT 501 Statistical literature and problems

In this required 3 credit 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 contained in the handout: Guidelines and Deadlines for Stat 501 Statistical Literature and Problems.

Planning an MS degree program

The Course Projection Guide (CPG, https://app.banner.pdx.edu/cpg/) lists the projected future 600-level course 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 adviser regarding degree requirements and for help with program planning.