Requirements

• Include one faculty member with some appointment in Statistics on the POS committee as a minor representative.
• Complete a minimum of four Statistics courses, including STAT 5101, 5147, and at least two elective courses (of at least 3 credits each) at the 5101 level or higher.
• Receive at least a B grade in both STAT 5101 and 5147, and a grade point average for the four courses of at least 3.33 (B+).

Note: STAT 5501 can be substituted for STAT 5101, but only one of the two courses can be used for Minor credit. Similarly, STAT 5542 and STAT 5543 can substitute for STAT 5147. If you take 5542 and 5543 instead of 5147, you will still need two electives (for a total of 5 courses) to complete the Minor requirements. 

See also: Co-Major PhD

Requirements

• Include one faculty member with some appointment in Statistics on the POS committee as a minor representative.
• Complete a minimum of 3 Statistics courses, including STAT 5101, STAT 5147, and at least one elective course (of at least 3 credits) at the 5101 level or higher.
• Receive at least a B grade in both STAT 5101 and 5147.

Note: STAT 5501 can be substituted for STAT 5101, but only one of these two courses can be used for Minor credit. Similarly, STAT 5542 and STAT 5543 can be substituted for STAT 5147. If you take 5542 and 5543 instead of 5147, you will still need another elective (for a total of 4 courses) to complete the Minor requirements. 

Use the Department of Statistics course list and course catalog for complete course listings.

STAT 5101: Statistical Methods for Data Analysis (online, in-person)

STAT 5147: Statistical Theory for Data Analysis (online, in-person)

STAT 5212: Experimental Design and Data Analysis (online, in-person)

STAT 5215: Time Series Data Analysis (online, in-person)

STAT 5219: Bayesian Data Analysis (online, in-person)

STAT 5279: Statistical Computing for Data Analysis (online, in-person)

STAT 5028: Visual Business Analytics (in-person)

STAT 5634: Ecological Statistics (in-person)

STAT 5651: Statistical Genetics (in-person)

STAT 5221: Survey Sampling Design and Data Analysis (in-person)

STAT 5207: Multivariate Data Analysis (online, in-person)

STAT 5206: Spatial Data Analysis (in-person)

STAT 5217: Categorical Data Analysis (in-person)

STAT 5216: Analysis of Gene Expression Data for the Biological Sciences (in-person)

STAT 5204: Regression for Social and Behavioral Research (in-person)

STAT 5232: Empirical Methods for the Computational Sciences (in-person)

STAT 5278: Computer Processing of Scientific Data (in-person)