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Applied Statistics MS

Program overview

The MS program in applied statistics is available to both full- and part-time students with courses available both on-campus and online. Cooperative education is optional. The program is intended for students who do not wish to pursue a degree beyond the MS. However, a number of students have attained doctorate degrees at other universities.


The program requires 30 credit hours and includes five core courses, four electives, and a capstone.

Core courses

There are five required core courses. Students, in conjunction with their advisers’ recommendations, should take the core courses early in the program. 

Focus areas

  • Data Mining 
  • Design of Experiments
  • Engineering Applications
  • Health care Applications
  • Imaging Applications of Statistics
  • Industrial Applications of Statistics

Electives and capstone

Elective courses are chosen by the student with the help of their adviser. These courses are usually department courses but may include (along with transfer credits) up to 6 credit hours from other departments that are consistent with students’ professional objectives.

The required capstone course is designed to ensure that students can integrate the knowledge from their courses to solve more complex problems. This course is taken near the end of a student’s course of study. Students, with adviser approval, may choose to write a thesis as their capstone.

Applied statistics, MS degree, typical course sequence

CourseSem. Cr. Hrs.
First Year
CQAS-611 Statistical Software 3
CQAS-721 Theory of Statistics I 3
CQAS-741 Regression Analysis 3
CQAS-722 Theory of Statistics II 3
CQAS-701 Foundations of Experimental Design 3
  Elective 3
Second Year
  Electives 9
CQAS-792 Capstone 3
Total Semester Credit Hours 30

Admission requirements

To be considered for admission to the MS program in applied statistics, candidates must fulfill the following requirements:

  • Hold a baccalaureate degree from an accredited institution (minimum 3.0 GPA strongly recommended),
  • Have a satisfactory background in mathematics (one year of university-level calculus) and statistics (preferably two courses in probability and statistics)
  • Submit official transcripts (in English) of all previously completed undergraduate and graduate course work,
  • Submit a current resume,
  • Submit two letters of recommendation, and
  • Complete a graduate application.
  • International students whose native language is not English must submit scores from the Test of English as a Foreign Language (TOEFL).

Scores from the Graduate Record Exam (GRE) are not required, however submitting scores may support the admission of an applicant who is deficient in certain admission requirements. 

Additional information

Lean Six Sigma Black Belt

Students may earn a Lean Six Sigma Black Belt by completing one or two additional courses and by successfully completing an approved Lean Six Sigma project at the student's organization or, alternatively, at an organization that will sponsor the student.


Students must attain an overall program grade-point average of 3.0 (B), with no more than two grades of C, for graduation.

Maximum time limit

University policy requires that graduate programs be completed within seven years of the student's initial registration for courses in the program. Bridge courses are excluded.

Career Outcomes

Job Titles

Quality Engineer, Reliability Analyst, Quality Manager, Statistical Consultant

Recent Employers

Bausch & Lomb, Delphi, Eastman Kodak Company, General Motors, Harris Interactive, Harris RF Communications, Johnson & Johnson (Ortho Clinical), Moog, Pfizer, Southco, Welch Allyn, Xerox

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