Applied Statistics Graduate Certificate
The Graduate Certificate Program in Applied Statistics (GCAS) is primarily designed to provide a companion credential for students in other graduate programs (including Mathematics) who have demonstrated expertise in methods and techniques for the quantitative analysis and modeling of data. Graduate programs that share a common interest in the application of statistical methods to the analysis of data and the solutions of problems include: Psychology, Civil and Environmental Engineering, Economics, Electrical and Computer Engineering, Computer Science, Engineering and Technology Management, Environmental Sciences and Resources, Mechanical Engineering, Political Sciences, Sociology, Urban Studies, Systems Science. However, the GCAS program equally serves those who want to pursue just the graduate certificate.
Admission:
Program prerequisites:
Prospective students must have a basic preparation in mathematics and statistics and in a particular disciplinary field that would allow for advanced work in statistical methods as well as applications in one or more content areas. This preparation must be demonstrated by the completion of calculus-based courses in probability and distribution theory. A background in basic statistical methodology is assumed. Prerequisites for the GCAS are: 3 terms of Calculus, Linear Algebra (Mth 261), and Stat 452/Stat 552 or Stat 244 or an equivalent Statistical Methods course. As the sequence Stat 551, Stat 552 is a prerequisite, it is not applicable toward program requirements.
Please note that this program is not appropriate for students currently enrolled in the MS Statistics program.
Instructions on how to apply: if you are not already enrolled in a graduate degree program at Portland State University, see
http://www.pdx.edu/math/graduate-admissions. If you are currently a graduate student and wish to add the certificate to your program, please submit a Request for Change of Major form (GO-19M for master's degree students and GO-19D for doctoral students). These forms are found on the Office of
Graduate Studies web site. The form must be signed by your current department's Chair before submitting it to the mathematics and statistics department.
Program Goals Objectives:
Many graduate programs include a research methods component that requires the student to acquire some exposure to statistical methods as the basis for the design of experiments and analysis of data. The Graduate Certificate in Applied Statistics (GCAS) goes well beyond those requirements -- the student develops both a depth of understanding of methods and a breadth of application across disciplines. It is expected that a student who earns this certificate would be capable of performing sophisticated statistical analysis and modeling for problems within his or her particular discipline. They would also be expected to be able to access and understand consultation with professional statisticians and provide consultation in the application of statistical methods for research purposes and in the solution of practical problems. The goal of the GCAS program is a coordinated plan for which students will be assured of exposure to statistical techniques needed in most applications.
Core Requirements:
The program of study leading to a GCAS requires the successful completion of a minimum of 24 graduate credit hours of course work distributed as three components:
- Applied statistics core sequence: The goal of this sequence is to introduce students to fundamentals of applied statistics. The three-term core course sequence: Stat 564 Applied Regression Analysis (3 credits) and Stat 565, Stat 566 Experimental Design: Theory and Methods, (3 credits each)
- Additional applied statistics courses: The objective is developing a breadth of knowledge in the application of statistical methods within the discipline and in related areas. A minimum of 12 additional hours chosen from the list of interdisciplinary courses below. Please note that 510/610 courses and Stat 551, Stat 552 are not acceptable toward the certificate.
- Statistical consulting: To provide experience in dealing with real statistical problems Stat 570 Statistical Consulting (3 credits). Please not that this course is only offered during Spring term.
All courses applied to certificate program must have a B- or better grade. To continue in the program, students are required to maintain regular graduate student status, requiring a cumulative 3.00 GPA for all course work and a term GPA of at least 2.67.
Additional applied statistics interdisciplinary course list:
| CE 566/ESM 566 | Environmental Data Analysis | 4 |
| Ec 570 | Econometrics | 4 |
| Ec 571 | Advanced Econometrics | 4 |
| ME 588 | Design of Industrial Experiments | 4 |
| PA 551 | Analytic Methods in Public Administration I | 3 |
| PA 552 | Analytic Methods in Public Administration II | 3 |
| Psy 523 | Factor Analysis and Covariance Structure Modeling | 5 |
| Psy 524 | Research Design in Applied Psychology | 4 |
| Soc 593 | Quantitative Methods | 4 |
| Soc 597 | Applied Survey Research | 4 |
| Stat 567 | Applied Probability I | 3 |
| Stat 568 | Applied Probability II | 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 |
| USP 532 | Data Collection | 4 |
Theory courses
| 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 561 | Mathematical Statistics I | 3 |
| Stat 562 | Mathematical Statistics II | 3 |
| Stat 563 | Mathematical Statistics III | 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 |