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Applied Statistics Adv. Cert.

Peter Bajorski, Graduate Program Chair
(585) 475-7889, pxbeqa@rit.edu

Rebecca Ziebarth, Graduate Coordinator
(585) 475-2033. razeqa@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

Course Sem. 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.

[arrow] 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)

CourseQtr. 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***
 

* 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.

** Room and Board rates are not applicable due to program length.

*** 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.

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.