MSAS - Course Forecast

  • Fall Semester
    Spring Semester
  • 7020 (Base SAS) — Required MSAS
    8020 (Advanced SAS)
  • 7100 (Methods) — Required MSAS
    8120 (Design) — Required MSAS
  • 8030 (R)
    8210 (Regression) — Required MSAS
  • 8240 (Data Mining I)
    8250 (Data Mining II)
  • 7010 (Math Stat) — Required MSAS
    8330 (Binary Classification)
  • 8110 (Quality Control) — even years
    8140 (Six Sigma) — odd years
  •  8225 (Longitudinal) — even years
    8320 (Multivariate) — odd years
  •  8310 (Categorical) — odd years
    8220 (Time Series) — even years
  • Required courses offered every Fall Semester:
    • STAT 7010
    • STAT 7020
    • STAT 7100
  • Electives courses offered every Fall Semester:
    • STAT 8030
    • STAT 8240
  • Required courses offered every Spring Semester:
    • STAT 8120
    • STAT 8210
  • Electives courses offered every Spring Semester:
    • STAT 8020
    • STAT 8250
    • STAT 8330

STAT 8940 (Applied Analysis Project), STAT 8916 (Co-op) and STAT 8918 (Internship) are offered every term.

STAT 8125 (Human Studies) will be offered according to the lab request.

In general, the following electives will be offered at least as often as indicated below:

  • STAT 8110 (Quality Control) – Fall of even numbered years
  • STAT 8140 (Six Sigma) – Spring of odd numbered years
  • STAT 8220 (Time Series) – Spring of even numbered years
  • STAT 8225 (Longitudinal) – Fall of even numbered years
  • STAT 8310 (Categorical) – Fall of odd numbered years
  • STAT 8320 (Multivariate) – Spring of odd numbered years
    • The MSAS program ONLY accepts students in the Fall Semester.
    • With agreement of the Program Director, graduate courses in other KSU departments can be substituted for up to 9 hours in the above program to complete the required 36 credit hours.
    • In addition, some of the courses intended for the Ph.D. in Analytics and Data Science program (which are not shown here) can be taken as electives by students in the MSAS program. These courses will typically be taught during the day and not at the traditional MSAS evening time.
    • Introduction to Mathematics for Statistics
    • Mathematical Statistics
    • Statistical Computing and Simulation
    • Statistical Methods
    • Advanced Programming in SAS
    • Quality Control and Process Improvement
    • Applied Experimental Design
    • Design of Human Studies
    • Six Sigma Problem Solving
    • Applied Regression Analysis
    • Time Series Analysis
    • Applied Longitudinal Data Analysis
    • Data Mining
    • Applied Categorical Data Analysis
    • Applied Multivariate Methods
    • Applied Topics in Binary Classification
    • Applied Analysis Project
    • Spring 2016
      Fall 2016
      Spring 2017
      Fall 2017
    • 8120 (Design)
      7010 (Math Stat)
      8120 (Design)
      7010 (Math Stat)
    • 8140 (Six Sigma)
      7020 (Stat Comp)
      8140 (Six Sigma)
      7020 (Stat Comp)
    • 8210 (Regression)
      7100 (Stat Methods)
      8210 (Regression)
      7100 (Stat Methods)
    • 8225 (Longitudinal)
      8020 (Adv SAS)
      8220 (Time Series)
      8020 (Adv SAS)
    • 8310 (Categorical)
      8030 (R Programming)
      8320 (Multivariate)
      8030 (R Programming)
    • 8330 (Binary Class)
      8110 (Quality Control) 
      8330 (Binary Class)
      8125 (Human Studies)
    •  
      8125 (Human Studies)
      Clinical Trials
      8240 (Data Mining)
    •  
      8240 (Data Mining)
       
       
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