Semester Requirements
Joseph Voelkel, Graduate Program Chair
(585) 475-2231, jgvcqa@rit.edu
http://www.rit.edu/kgcoe/cqas/academics/advancedcertificate.htm#productprocess
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 (semesters), effective fall 2013
| Course | Sem. Cr. Hrs. | |
|---|---|---|
| First Year | ||
| CQAS-741 | Regression Analysis | 3 |
| CQAS-701 | Foundations of Experimental Design | 3 |
| Elective 1 | 3 | |
| Elective 2 | 3 | |
| 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 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.
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Click to view program requirements in the Quarter Calendar
Quarter Curriculum - For Reference Only
Effective fall 2013, RIT will convert its academic calendar from quarters to semesters. The following content has been made available as reference only. Currently matriculated students who began their academic programs in quarters should consult their academic adviser for guidance and course selection.
Program overview
The advanced certificate in statistical methods for product and process improvement is designed for engineers, scientists, and other professionals who want a solid education in the statistical methods that are most closely related to their work. The program is a subset of courses taken from the MS program in applied statistics.
Curriculum
Statistical methods for product and process improvement, advanced certificate, typical course sequence (quarters)
| Course | Qtr. Cr. Hrs. | |
|---|---|---|
| First Year | ||
| 0307-801 | Design of Experiments I | 4 |
| 0307-802 | Design of Experiments II | 4 |
| 0307-841 | Regression Analysis I | 4 |
| Choose three of the following: | 12 | |
| 0307-803 | Design and Analysis of Experiments III | |
| 0307-831 | Multivariate Analysis Applications | |
| 0307-842 | Regression Analysis II | |
| 0307-846 | Statistical Data Mining | |
| 0307-862 | Reliability Statistics I* | |
| 0307-873 | Time Series Analysis | |
| 0307-883 | Quality Engineering by Design | |
| Total Quarter Credit Hours | 24 | |
* The reliability course also requires calculus with integration as a prerequisite.
Admission requirements
To be considered for admission to the advanced certificate in statistical methods for product and process improvement, candidates must fulfill the following requirements:
- 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.
Additional information
The U.S. Department of Labor’s Standard Occupational Classification (SOC) code and occupational profiles are:
| Department of Labor Occupational Codes and Titles | 15-2041 Statisticians | |
| 15-2011 Actuaries | ||
| 19-3022 Survey Researchers | ||
| Program Length | 18 quarter credit hours | |
| Tuition for completing the program in the time listed above* | $17,334 ($963 per credit hour) | |
| Fees | $152 | |
| Books and Supplies | $700 | |
| Room and Board | N/A** | |
| Median Educational Debt - federal loans | N/A*** | |
| Median Educational Debt - private loans | N/A*** | |
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* Costs are based on the cost to complete the program based on the credit hours and 2011-2012 credit hour rate and do not include any financial aid awards. Prices for books and supplies are estimated. Your individual costs may vary. Tuition expenses are lower for deaf and hard of hearing students sponsored by NTID. |
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** Room and Board rates are not applicable due to program length. |
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*** Due to privacy concerns, the U.S. Department of Education regulations prohibit us from disclosing the information for programs graduating less than 10 students during an award year. |
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Prerequisites
Students should have basic familiarity with MINITAB statistical software. This may be obtained by self-study; by completion of Data Analysis Using MINITAB, a three-day, non-credit-bearing course in data analysis and statistical computing; through similar MINITAB short courses; or through Statistical Computing (0307-742), which covers both SAS and MINITAB software.