The M.S. degree in Applied Statistics requires 30 hours, 12 of which are electives. There are five different tracks within this degree to allow different specializations. These include: Traditional, Biostatistics, Actuarial Science, Data Mining, Quality and Six Sigma. There are six required courses and four elective courses common to all five 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.
Six hours of approved electives are also required.
Three hours of approved Statistics electives are also required.