Overview

COURSES
  • Required Courses

    The M.S. degree in Applied Statistics requires 30 hours, half of which are track specific. There are two different tracks within this degree. These include: Statistics and Analytics. There are five required courses common to both tracks of study.

    The electives may be earned in additional coursework with the approval of a faculty advisor. The program of related courses may vary from student to student and depends on the student's interests and academic background. When most of the coursework is completed, the student must pass a written comprehensive examination OR a professional exam such as the Actuarial P Exam, SAS Predictive Modeler Exam, or the ASQ Certified Quality Engineer Exam.


    ST 552
    Applied Regression Analysis
    ST 553
    Applied Multivariate Analysis
    ST 554
    Mathematical Statistics I
    ST 555
    Mathematical Statistics II
    ST 560
    Statistical Methods
  • Track Specific Courses
    ST 521
    Statistical Data Management
    ST 522
    Advanced Statistical Data Management
    ST 531
    Knowledge Discovery & Data Mining I
    ST 532
    Advanced Data Mining II
    ST 575
    Statistical Quality Control
    ST 561
    Design of Experiment
  • Statistics Electives
    ST 591
    Independent Study
    ST 597
    Special Topics
  • Statistics Track
    ST 561
    Design of Experiment

    12 hours of approved electives are also required.

  • Analytics Track
    ST 521
    Statistical Data Management
    ST 522
    Advanced Data Management
    ST 531
    Knowledge Discovery & Data Mining I
    ST 532
    Advanced Data Mining II

    Three hours of approved electives are also required.

faculty
and staff
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Contacts
Program Coordinator
Dr. Cali Davis 348-1608
353 Alston Hall
Contact
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