Graduate program highlights

Master of Science - Statistics (Thesis and Nonthesis options)

Entrance into the M.S. Statistics program requires a minimum undergraduate GPA of 2.75 and completion of the following prerequisites prior to starting the program:

  • Three Semesters of Calculus or Equivalent
  • Linear Algebra or equivalent
  • One Semester of Applied Statistics or equivalent

Core Curriculum

3470:651 Probability and Statistics   4 credits
3470:652 Advanced Mathematical Statistics   3 credits
3470:580 Statistical Data Management   3 credits
3470:663 Experimental Design   3 credits
3470:665 Regression   3 credits
 16 credits

Thesis requirements (30 credits of graduate work)

In addition to the core curriculum, students must take 3 credits in 3470:689 Advanced Topics in Statistics, 2-4 credits in 3470:699 Master's Thesis and 7-9 other approved elective graduate credit hours must be completed.  Upon approval of the thesis by the student's Advisor and Reader, the thesis must be presented in a colloquium to faculty and other students.

Nonthesis requirements (33 credits of graduate work)

In addition to the core curriculum, students must take 3 credits in 3470:689 Advanced Topics in Statistics, 2-4 credits in 3470:692 Statistics Masters Paper and 10-12 other approved elective graduate credit hours must be completed. Upon approval of the Statistics Masters Paper by the student's Advisor and Reader, the paper must be presented in a colloquium to faculty and students. 

NOTE:  The 3470:689 Advanced Topics in Statistics class is only offered in fall semester and students must have completed all five core courses in order to be eligible for enrollment.  Therefore, students starting the program during spring semester should plan on being in the program a full two years in order to complete all requirements.

 Graduate Course Descriptions