This program offers general courses in classical statistical methods, mathematical statistics, regression and experimental design, as well as specialized courses in topics including data mining, quality control, multivariate analysis, statistical computing, linear models and nonparametric statistics. The program is flexible, allowing students to structure courses in a manner that complements their career objectives.
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.
12 hours of approved electives are also required.
Dr. Cali Davis
353 Alston Hall