Advanced Certificate in Applied Statistics
Dr. Peter Bajorski, Graduate Program Chair
(585) 475-7889, email@example.com
Rebecca Ziebarth, Graduate Coordinator
(585) 475-2033, firstname.lastname@example.org
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. The program’s courses area subset of CQAS graduate courses.
Completion of 12 credits in CQAS graduate courses. Two courses, CQAS 741 Regression Analysis, and CQAS 701 Foundations of Experimental Design, are required. Typically, the 12 credits will be obtained by taking four 3-credit courses.
Grades and maximum time limit
Students must maintain an overall program grade-point average of 3.0 (B) for graduation. Course work must be completed within seven years. More details on these requirements may be found in these graduation 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 in 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.
GRE’s are not required, but may be beneficial for some students.
International students may require additional English language testing or classes for students who do not meet the minimum required English Language test scores. The minimum TOEFL ibt score for graduate study is 80. The minimum IELTS band score is 6.5 for graduate study.
Prerequisites: Students should have basic familiarity with MINITAB, SAS, or R statistical software. This may be obtained by self-study; by short courses; or through CQAS-611 Statistical Software, which covers both SAS and R software.