Master of Science in Statistics
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: 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.
This program admits once per year for fall term only. See instructions on how to apply: https://www.pdx.edu/math/howtoapply
Cost and Funding:
Please see the University's Tuition and Fees web page. Use the cost of attendance estimator tool for a rough estimate of your attendance costs per term. The degree is 45 credits. You could finish the degree in 5 quarters (not counting summer term) with fulltime enrollment of three classes per term (9 credits).
Several forms of departmental graduate support are available, including, but not limited to, Teaching Assistantships and Scholarships. The Department may be contacted for further details. Applicants desiring a teaching assistantship should apply to the graduate program by February 1st for entry the following fall quarter.
Degree Requirements:
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 graduatelevel 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 Universitylevel graduate policies and procedures for obtaining the degree. These policies and procedures are in Graduate Studies section of the PSU Bulletin. Several of the most frequently asked about Universitylevel graduate policies and procedures can also be found on the Graduate School web site.
Core Requirements (33 credits):
Candidates must complete an approved 45credit program, which includes at least 33 core credits in courses with the STAT prefix. These 33 credits must include courses distributed as follows:

Two 9credit sequences:
STAT 561, 562, 563 Mathematical Statistics I, II, III and
STAT 564, 565, 566 Applied Regression Analysis and Experimental Design 
One 9credit sequence chosen from
STAT 661, 662, 663 Advanced Mathematical Statistics I, II, III or
STAT 664, 665, 666 Theory of Linear Models I, II, III or
MTH 667, 668, 669 Stochastic Processes and Probability Theory I, II, III.
STAT 671, 672, 673 Statistical Learning I, II, III 
STAT 570 Topics in Statistical Consulting, 3 credits (this course is currently offered during Spring term only)

3 credits of STAT 501, Statistical Literature and Problems.
Electives (12 credits):
A total of 12 elective credit hours must be completed. The following list of courses is preapproved for elective credit:
Stat 571 Applied Multivariate Statistical Analysis
Stat 572 Bayesian Statistics
Stat 573 Computer Intensive Methods in Statistics
Stat 576 Sampling Theory and Methods
Stat 577 Categorical Data Analysis
Stat 578 Survival Analysis
Stat 580 Nonparametric Methods
Stat 661 Advanced Mathematical Statistics I
Stat 662 Advanced Mathematical Statistics II
Stat 663 Advanced Mathematical Statistics III
Stat 664 Theory of Linear Models I
Stat 665 Theory of Linear Models II
Stat 666 Theory of Linear Models III
Stat 567 Applied Probability I
Stat 568 Applied Probability II
Mth 667 Stochastic Processes and Probability Theory I
Mth 668 Stochastic Processes and Probability Theory II
Mth 669 Stochastic Processes and Probability Theory III
Stat 671 Statistical Learning I
Stat 672 Statistical Learning II
Stat 673 Statistical Learning III
CS 545 Machine Learning
Ec 572 Time Series Analysis and Forecasts
USP 655 Advanced Data Analysis: Structural Equation Modeling
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 33hour core and as an elective course or sequence.
MS Examinations:
Students must pass two examinations, one in Mathematical Statistics which covers STAT 561, 562, 563 and one in Applied Statistics which includes the core topics covered in STAT 564, 565, and 566. Examinations are scheduled twice per year, the week before the 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 in which they take an exam. See the MS examination policy for more detailed information.
Grading Policy for the MS Exam in Applied Statistics
The Applied Statistics Exam is comprised of two components:
 Applied regression analysis
 Design of experiments and ANOVA
Both components consist of a written exam portion and a separate, inlaboratory, 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 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.
Planning an MS Degree Program:
The department projects its future 600level offerings. These projections enable students to plan programs that include any necessary 500level 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, 562, 563 and STAT 564, 565, 566 successfully completed and considering future pursuit of the Ph.D. are encouraged to take MTH 511, 512 and in addition to the required 600 level sequence, at least one additional sequence from among STAT 661, 662, 663, Stat 664, 665, 666, and MTH 667, 668, 669. All students are urged to meet with the graduate program advisor regarding degree requirements and for help with program planning.
Questions?
For academic advising or career questions: Dr. JongSung Kim, Program Director/Lead Adviser, (503) 7253657, jong@pdx.edu.
For policy and application questions: Kathie Leck, Graduate Program Administrator, mathstatgrad@pdx.edu, 5037258244.