Graduate Certificate in Statistics
Statistics Academic Graduate Certificate
The Graduate Academic Certificate in Statistics is developed for graduate students majoring in disciplines other than statistics who wish to show a competency in statistics. Students are not required to be actively pursuing a graduate degree in order to participate in the certificate program, but must satisfy graduate admission requirements at the University of Idaho. This certificate program is available in either of, or a combination of two venues: on-campus study or via Engineering Outreach (EO), the distance education arm of the University of Idaho.
The certificate program is designed to give the student a background in the statistical methods applicable to their major field of study. When planning coursework toward the certificate, students should see the certificate coordinator in the Department of Mathematics and Statistical Science to ensure the courses chosen will meet the student's professional objectives.
Applying to the Certificate Program
- Students admitted to the Graduate School at the University of Idaho must submit the Academic Certificate Declaration on page 2 of the Change of Curriculum form to the Department of Mathematics and Statistical Science for department chair approval.
- To apply for the program as a stand-alone certificate please apply online through Graduate Admissions. You will be required to submit transcripts showing a minimum of a 3.0 GPA for your undergraduate degree.
- Graduate Academic Certificate requirements can be viewed in Section O-10-b of the UI Catalog.
- The Graduate Academic Certificate in Statistics follows the policies and procedures for a Graduate Academic Certificate.
- Stat 431 (Statistical Analysis) or similar course preparation must be completed prior to pursuing this academic certificate.
One of the following (3 cr):
- Stat 422 Sample Survey Methods (3 cr)
- Stat 507 Experimental Design (3 cr)
Additional Courses from the following (9 cr):
- Choose only one of these three:
- STAT 419: Introduction to SAS/R Programming
- or STAT 426: SAS Programming
- or STAT 427: R Programming
- STAT 422: Sample Survey Methods
- STAT 451: Probability Theory
- STAT 452: Mathematical Statistics
- STAT 507: Experimental Design
- STAT 514: Nonparametric Statistics
- STAT 516: Applied Regression Modeling
- STAT 517: Statistical Learning and Predictive Modeling
- STAT 519: Multivariate Analysis
- STAT 535: Introduction to Bayesian Statistics
- STAT 555: Statistical Ecology
- STAT 565: Computer Intensive Statistics
Links to course descriptions are found in the UI Catalog.
Note: Credits to total 12 for this graduate academic certificate. At least half of the credits must be at the 500-level. All required coursework must be completed with a grade of B or better.