# 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: Advanced Statistical Methods (Stat 452 or higher), Introduction to Mathematical Analysis/Advanced Calculus (Mth 311), Introduction to Linear Algebra (Mth 261), and Applied Differential Equations (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: http://www.pdx.edu/math/how-to-apply

## 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 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 Graduate Studies section of the PSU Bulletin. Several of the most frequently asked about University-level graduate policies and procedures can also be found on the Office of Graduate Studies web site.

## 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 561 | Mathematical Statistics I | 3 |

Stat 562 | Mathematical Statistics II | 3 |

Stat 563 | Mathematical Statistics III | 3 |

And | ||

Stat 564 | Applied Regression Analysis | 3 |

Stat 565 | Experimental Design: Theory and Methods | 3 |

Stat 566 | Experimental Design: Theory and Methods | 3 |

### One 9-credit sequence chosen from

Stat 661 | Advanced Mathematical Statistics I | 3 |

Stat 662 | Advanced Mathematical Statistics II | 3 |

Stat 663 | Advanced Mathematical Statistics III | 3 |

or | ||

Stat 664 | Theory of Linear Models I | 3 |

Stat 665 | Theory of Linear Models II | 3 |

Stat 666 | Theory of Linear Models III | 3 |

or | ||

Mth 667 | Stochastic Processes and Probability Theory I | 3 |

Mth 668 | Stochastic Processes and Probability Theory II | 3 |

Mth 669 | Stochastic Processes and Probability Theory III | 3 |

### Topics in Statistical Consulting (3 credits)

Stat 570 | Statistical Consulting | 1-3 |

### STAT 501 Statistical literature and problems (3 credits)

Stat 501 | Research | 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 571 | Applied Multivariate Statistical Analysis | 3 |

Stat 572 | Bayesian Statistics | 3 |

Stat 573 | Computer Intensive Methods in Statistics | 3 |

Stat 576 | Sampling Theory and Methods | 3 |

Stat 577 | Categorical Data Analysis | 4 |

Stat 578 | Survival Analysis | 3 |

Stat 580 | Nonparametric Methods | 3 |

Stat 661 | Advanced Mathematical Statistics I | 3 |

Stat 662 | Advanced Mathematical Statistics II | 3 |

Stat 663 | Advanced Mathematical Statistics III | 3 |

Stat 664 | Theory of Linear Models I | 3 |

Stat 665 | Theory of Linear Models II | 3 |

Stat 666 | Theory of Linear Models III | 3 |

Stat 567 | Applied Probability I | 3 |

Stat 568 | Applied Probability II | 3 |

Mth 667 | Stochastic Processes and Probability Theory I | 3 |

Mth 668 | Stochastic Processes and Probability Theory II | 3 |

Mth 669 | Stochastic Processes and Probability Theory III | 3 |

Ec 572 | Time Series Analysis and Forecasts | 4 |

USP 655 | Advanced Data Analysis: Structural Equation Modeling | 3 |

**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:

- Applied regression analysis
- 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.