Skip Navigation
search: People | Departments | Penn State | Web
Penn State mark
Penn State mark
University Bulletin
Graduate Degree Programs

Applied Statistics

Graduate Credit Certificate Program

James L. Rosenberger
326 Thomas Building
University Park, PA 16802
Telephone: 814-865-1340
Fax: 814-863-7114

The graduate certificate in Applied Statistics helps quantitative professionals in a variety of fields become knowledgeable and skillful in applied statistics. The certificate was designed specifically for researchers working with statistical data who wish to advance their careers, and for those who seek career changes. The certificate is offered through Penn State's World Campus. Students earn the certificate by completing 12 credits of instructor-led online course work. Two 3-credit courses are required, and the remaining 6 credits are selected from a list of electives. Students who successfully complete the certificate earn 12 academic credits and receive the graduate certificate in Applied Statistics. Students subsequently admitted to the Department of Statistic's professional Master of Applied Statistics degree program may count up to 15 credits of certificate courses toward the M.A.S. degree.

Admission Requirements

An applicant must have received, from a regionally accredited institution, a baccalaureate degree earned under residence and credit conditions substantially equivalent to those required by Penn State. Applicants from countries in which English is not the primary language must earn TOEFL scores of at least 550 for the paper test or 213 for the computer-based test.

Admission Procedures

Students interested in applying for admission to the Graduate Certificate in Applied Statistics program should go to the World Campus web site:



  • 500. Applied Statistics (3)
  • 501. Regression Methods (3)


Choose at lease 6 credits from:


  • 414. Introduction to Probability Theory (3)
  • 415. Introduction to Mathematical Statistics (3)
  • 480. *Introduction to SAS (1)
  • 481. Intermediate SAS for Data Management (1)
  • 482. *Advanced Topics in SAS (1)
  • 483. *Statistical Analysis Systems Programming (3)
  • 502. Analysis of Variance and Design of Experiments (3)
  • 503. Design of Experiments (3)
  • 504. Analysis of Discrete Data (3)
  • 505. Applied Multivariate Statistical Analysis (3)
  • 506. Sampling Theory and Methods (3)
  • 507. Epidemiologic Research Methods (3)
  • 509. Design and Analysis of Clinical Trials (3)
  • 510. Applied Time Series Analysis (3)

* Note: credits cannot be taken for both 483 and 480-482.


  • 483. Problem-Solving with GIS (3)

Graduate courses carry numbers from 500 to 599 and 800 to 899. Advanced undergraduate courses numbered between 400 and 499 may be used to meet some graduate degree requirements when taken by graduate students. Courses below the 400 level may not. A graduate student may register for or audit these courses in order to make up deficiencies or to fill in gaps in previous education but not to meet requirements for an advanced degree.

Effective Date: Fall Semester 2011
Expiration Date: Summer 2021

Last Revised by the Department: Fall Semester 2011

Blue Sheet Item #: 40-04-184

Review Date: 01/10/2012


Look up course abbreviations

Course descriptions are stored in LionPATH, the University-wide student information system. Please visit the LionPATH Course Catalog to access current course descriptions. At that point, you will be leaving the University Bulletin website.

Skip Popular Searches
  1. Graduate Course Descriptions
  2. Graduate Programs
  3. Doctoral Degree Requirements
  4. Master's Degree Requirements
  5. Application and Admission Procedures
  6. Credit Certificate Programs
  7. General Information
  8. Tuition and Cost
  9. Intercollege
  10. Academic Information and Procedures