Applied Statistics and Data Analysis Minor
Kennesaw State University offers a Minor in Applied Statistics and Data Analysis. This Minor has been developed to assist KSU students in two ways:
- To help KSU students differentiate themselves in a competitive job market after graduation. In addition to the broad and deep skills that students will develop through the completion of the Minor, most students will also qualify for one of our software certificates.
- To help students prepare for an advanced degree – such as an MBA, Medical School, Law School or other graduate programs.
The theme of the Minor in Applied Statistics and Data Analysis is the translation of data into information to ultimately support and improve decision making in any discipline. As a result, our emphasis in all of our STAT courses is on APPLICATION – not on Theory. Although Math majors are certainly welcome to pursue the Minor, the Minor courses were developed with the non-Math major in mind.
Required Courses (9 credit hours):
- STAT 3010 - Computer Applications of Statistics
- STAT 3120 - Statistical Methods I
STAT 3125 - Biostatistics
- STAT 3130 - Statistical Methods II
Select two of the following (6 credit hours):
- STAT 4025 - Clinical Trial Design
- STAT 4120 - Applied Experimental Design
- STAT 4125 - Design and Analysis of Human Studies
- STAT 4210 - Applied Regression Analysis
- STAT 4310 - Statistical Data Mining
- STAT 4330 - Applied Binary Classification
- STAT 4490 - Special Topics in Statistics
- IS 4540 - Data Mining (Information Systems majors)
- PSYC 3301 - Experimental Psychology (Psychology majors)
- One of the two upper-level electives may consist of 3 credit hours for either
- STAT 3396 - Cooperative Study
STAT 3398 - Internship
= Program Total (15 credit hours)1
1 If you are a Mathematics major, you can only use one STAT course here for both the minor and the UPPER DIVISION MATH/STAT ELECTIVES. You can use the other four courses for the OTHER UPPER DIVISION ELECTIVES in your Math major. Please check with your academic adviser for more details.