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.
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 website.
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 I | 3 |
| Stat 566 | Experimental Design: Theory and Methods II | 3 |
Topics in Statistical Consulting (3 credits)
Stat 570 is currently offered during Spring term only.
STAT 501 Statistical literature and problems (3 credits)
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 |
| | or | |
| Stat 671 | Statistical Learning I | 3 |
| Stat 672 | Statistical Learning II | 3 |
| Stat 673 | Statistical 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 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 |
| Stat 671 | Statistical Learning I | 3 |
| Stat 672 | Statistical Learning II | 3 |
| Stat 673 | Statistical Learning III | 3 |
| CS 545 | Machine Learning | 3 |
| Ec 572 | Time Series Analysis and Forecasts | 4 |
| USP 655 | Advanced Data Analysis: Structural Equation Modeling | 3 |
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 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:
- 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.
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 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.