1)
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 the Certificate
in Statistical Analysis Using SAS;
2)
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.
To complete a Minor in
Applied Statistics and Data Analysis, students must complete 15 hours in a
series of prescribed courses, which include the following (A catalogue description can be accessed by clicking on the course number. For some courses, sample syllabi can
also be accessed by clicking on the sample syllabus link.
Please note that these syllabi are for directional information and are
subject to change):
·
STAT3010 – Statistical
Computing (sample syllabus) . This course
instructs students in the four primary software packages used for data analysis
- EXCEL, SPSS, Minitab and SAS;
·
STAT3120 – Statistical
Methods I (sample syllabus). Picks up where
MATH1107 or ECON2300 leaves off (students must have received a grade of “C” or
better in one of these courses as a pre-requisite to begin the Minor in Applied
Statistics and Data Analysis). Introduces students to Basic Data Analysis,
Hypothesis Testing, Power Calculations, T-tests and Non-Parametric
Testing. STAT3125 (Biostatistics) can be substituted
for STAT3120;
·
STAT3130 – Statistical Methods II. Continues from STAT3120. Students will learn ANOVA,
Chi-Square, Simple and Multiple Regression Modeling;
· STAT4120 – Experimental Design (sample syllabus). This course will instruct students in the basics of developing statistically valid experiments. PSYC 3301, NURS 4402 or POLS 2280 are acceptable substitutes ;
Students must then select one course from the following elective options:
·
STAT4210 – Applied Regression Analysis. This course will
cover advanced topics in statistical dependent modeling, including Discriminant
Analysis, Logistic Analysis and advanced Regression Analysis.
·
STAT4310 – Statistical Data
Mining (sample syllabus) . This course
will instruct students in using practical data mining techniques to perform
prediction and forecasting through the application of linear models, non linear
classification methods, Cluster Analysis and Association Analysis.
·
STAT 4490 – Independent Study in Statistics. For students
who have a specific interest not covered in any of the established courses,
students can work with a Statistics professor on a tailored curriculum over the
course of a semester.
·
CSIS 4491 – Modern Information Retrieval (sample syllabus). For students
who are particularly interested in the Computer Science aspects of Statistics,
this course…
Because the Minor in Applied Statistics and Data
Analysis has been created for the primary purpose of helping students build
tangible skills in the translation of data into information, all courses will
emphasize how to present and communicate analytical results professionally.
These courses have been designed to COMPLEMENT the
material that students are studying within their major, whether it is
Marketing, Finance, Economics, Psychology, Nursing, Political Science, Biology
or any other major at KSU. For more information on enrolling in the Minor
in Applied Statistics and Data Analysis, please contact Dr. Jennifer Priestley
at jpriestl@kennesaw.edu . You can also visit the Frequently
Asked Questions page.