Course Options:

The certificate requires 15 hours of graduate level courses in applied statistics. Specific courses which may be included on the list of courses claimed are:

• STAT 702 - Statistical Methods for Social Sciences Credits: (3)

• or

• STAT 703 - Statistical Methods for Natural Scientists Credits: (3)

• or

• STAT 706 - Basic Elements of Statistical Theory Credits: (3)
• STAT 704 - Analysis of Variance Credits: (2)

• and

• STAT 705 - Regression and Correlation Analyses Credits: (2)

• or

• STAT 713 - Applied Linear Statistical Models Credits: (4)
• STAT 710 - Sample Survey Methods Credits: (2)
• STAT 716 - Nonparametric Statistics Credits: (2)
• STAT 717 - Categorical Data Analysis Credits: (3)
• STAT 720 - Design of Experiments Credits: (3)
• STAT 722 - Statistical Designs for Product Development and Process Improvement Credits: (3)
• STAT 725 - Introduction to the SAS Computing Credits: (1)
• STAT 726 - Introduction to Splus/R Computing Credits: (1)
• STAT 730 - Multivariate Statistical Methods Credits: (3)
• STAT 736 - Bioassay Credits: (2)
• STAT 745 - Statistical Graphics 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). Persons seeking for this exception will need to supply such information as deemed necessary by the director for such approval.