Graduate Academic Certificate of Completion in Statistical Science
The certificate in Statistical Science 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 that are applicable to their major field of study. When planning coursework toward the certificate, students should see a certificate advisor in the Department of Statistical Sciences to ensure that the courses chosen will meet the student's professional objectives.
Prerequisites
- Undergraduate and non-degree students must meet the minimum GPA admission requirement of 3.0 or higher in an undergraduate degree program to enroll in 500-level courses; undergraduates must also have senior standing
- Sufficient background in statistics as determined by the certificate coordinator, including successful completion of Stat 431 Statistical Analysis (formerly Stat 401)
- Admission to the University of Idaho
- All students must submit the Academic Certificate Declaration on page 2 of the Change of Curriculum form to the certificate coordinator for department chair approval
- Students must contact the certificate coordinator to discuss background qualifications prior to starting the certificate
Required Coursework:
- Stat 431 (formerly Stat 401) Statistical Analysis (3 cr)
Plus one of the following (3 cr):
Two or more of the following (9 cr):
- Stat 422 Sample Survey Methods (3 cr)
- Stat 428 Geostatistics (3 cr)
- Stat 451 Probability Theory (3 cr)
- Stat 452 Mathematical Statistics (3 cr)
- Stat 514 Nonparametric Statistics (3 cr)
- Stat 519 Multivariate Analysis (3 cr)
- Stat 520 Statistical Analysis of Qualitative Data (3 cr)
- Stat 539 Time Series (3 cr)
- Stat 555 Statistical Ecology (3 cr)
- Stat 565 Computer Intensive Statistics (3 cr)
- Stat 571 Reliability Theory (3 cr)
Note: Credits to total 15 for this Academic Certificate
Certificate Coordinator
Chris Williams, Professor & Chair
Students interested in employment in statistics per se should consider studying for an M.S. degree in Statistics.