Minor in Data Science and Analytics

ÈâÈ⴫ý (KSU) offers a Minor in Data Science and Analytics. 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 Data Science and Analytics minor will instruct students in 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 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.

 

KSU Applied Statistics and Analytics Minor students in the classroom

Program Snapshot

Required Courses: (9 credit hours)

  • DATA 3010: Computer Applications of Statistics

Select One of the Following:

  • STAT 3120: Statistical Methods I
  • STAT 3125: Biostatistics
  • IET 2227: Introduction to Statistics
  • ISYE 2600: Probability and
    Statistics
  • PSYC 3000: Statistical Applications in Psychological Science

Select One of the Following:

  • STAT 3130: Statistical Methods II
  • IET 3403: Advanced Statistics with Application
  • ISYE 3600: Probability and Statistics II

Total Number of Credit Hours: 15

Electives (6 Credit Hours)

Select two of the following:

  • IS 4540: Data Mining
  • STAT 4025: Clinical Trial Design
  • DATA 4030: Programming in R
  • STAT 4120: Applied Experimental Design
  • STAT 4125: Analysis of Human Studies
  • STAT 4210: Applied Regression Analysis
  • DATA 4310: Statistical Data Mining
  • DATA 4330: Applied Binary Classification
  • DATA 4400: Directed Study
  • DATA 4490: Special Topics in Statistics

One of the two upper-division electives may consist of 3 credit hours for either:

  • DATA 3396: Cooperative Study
  • DATA 3398: Internship

Related Degrees & Programs

School of Data Science and Analytics

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School of Data Science and Analytics
3391 Town Point Dr. NW
Suite 2400, MD 9104
ÈâÈ⴫ý, GA 30144

Phone: 470-578-2865

Email

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