Certificate Requirements

A minimum of 15 credit hours with at least a 3.0 GPA in applied statistics courses at the 700 level and above. These courses may also be used for a student’s Program of Study in his/her chosen field if approved by the student’s Graduate Committee.

Courses that can be used for the Graduate Certificate in Applied Statistics Program are:

• At most 3 credit hours from the following three courses can be counted toward the certificate:

• STAT 701 - Fundamental Methods of Biostatistics Credits: 3
• STAT 703 - Introduction to Statistical Methods for the Sciences Credits: 3
• STAT 706 - Basic Elements of Statistical Theory Credits: 3

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• At most 3 credit hours from the following two courses can be counted towards the certificate:

• STAT 705 - Regression and Analysis of Variance Credits: 3

• or

• STAT 713 - Applied Linear Statistical Models Credits: 3

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  Most of the classes listed above are prerequisites for the classes below. Students are recommended to take prerequisite courses before taking the courses below.

• STAT 710 - Sample Survey Methods Credits: 3
• STAT 716 - Nonparametric Statistics Credits: 3
• STAT 717 - Categorical Data Analysis Credits: 3
• STAT 720 - Design of Experiments Credits: 3
• STAT 722 - Experimental Design for Product Development and Quality Improvement Credits: 3
• STAT 725 - Introduction to the SAS Computing Credits: 1
• STAT 726 - Introduction to R Computing Credits: 1
• STAT 727 - Statistical Computing/Numerical Methods of Statistics Credits: 3
• STAT 730 - Multivariate Statistical Methods Credits: 3
• STAT 736 - Bioassay Credits: 2
• STAT 745 - Statistical Graphics Credits: 3
• STAT 750 - Studies in Probability and Statistics Credits: 1-4
• STAT 760 - Optimization for Data Science Credits: 3
• STAT 761 - Discrete Optimization and Scalability for Data Science Credits: 3
• STAT 764 - Applied Spatio-Temporal Statistics Credits: 3
• STAT 766 - Applied Data Mining/Machine Learning and Predictive Analytics Credits: 3
• STAT 768 - Applied Bayesian Modeling and Prediction Credits: 3
• STAT 870 - Analysis of Messy Data Credits: 3

Note

A maximum of three credit hours can be earned from coursework taken outside the Department of Statistics, either in another department on campus, or at another university. Persons wishing to apply such credits will gain approval from the director of the certificate program. Courses so approved must clearly be of an applied statistics nature, of a duration commensurate with the number of credit hours claimed on the certificate, and at a graduate level (under no circumstances will undergraduate courses be considered). The person asking for this exception will need to supply such information as deemed necessary by the director for such approval, possibly including syllabus and identification of textbook used.