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Applied Statistics Adv. Cert.

Program overview

The advanced certificate in applied statistics is designed for engineers, scientists, analysts, and other professionals who want a solid education in the statistical methods that are most closely related to their work. Courses are available both on-campus and online.

Curriculum

Applied statistics, advanced certificate, typical course sequence

CourseSem. Cr. Hrs.
First Year
CQAS-741 Regression Analysis 3
CQAS-701 Foundations of Experimental Design 3
  Electives 6
Total Semester Credit Hours 12

Admission requirements

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

  • Hold a baccalaureate degree from an accredited institution (3.0 GPA strongly recommended),
  • Have a satisfactory background in mathematics and statistics (preferably two courses in probability and statistics),
  • Submit official transcripts (in English) of all previously completed undergraduate and graduate course work,
  • Submit two letters of recommendation,
  • Submit a current resume, 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 they may be beneficial for some students.

Additional information

Prerequisites

Students should have basic familiarity with MINITAB, SAS, or R statistical software. This may be obtained through self-study; short courses; or by completing Statistical Software (CQAS-611), which covers both SAS and R software.

Grades

Students must attain an overall program GPA of 3.0 (B), with no more than one grade 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, Southco, Welch Allyn, Xerox


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