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RIT is moving to semesters in Fall 2013. Our courses—and much more—are changing.
Advanced Certificates
Statistical Quality
Statistical Methods for Product
and Process Improvement
Advanced Certificate in Statistical
Quality
The Advanced Certificate in Statistical Quality Certificate is being updated to the Advanced Certificate in Lean Six Sigma in semesters beginning in the fall of 2013.
The advanced certificate in statistical quality, which requires
18 credits (equivalent to 6 courses), is available to part-time
students. These courses are offered both in on-campus and
online formats and consist of a subset of the courses in the
MS program. Most of our advanced-certificate students are
full-time professionals who want to learn current statistical
and quality techniques to enhance their careers and make them
more valuable employees. The online-learning option makes
this certificate especially appealing to students who are
not able to attend classes on the RIT campus.
Admission
Admission to the advanced certificate program will be granted
to qualified holders of a baccalaureate degree from an accredited
college or university who have an acceptable GPA, as well
as acceptable probability and statistics college credits,
equivalent to 0307-711 and 712. Applicants who fail to meet
the probability and statistics requirement will be required
to complete this prerequisite prior to matriculation in the
program.
Entrance exams are not required. However, international students
whose native language is not English must have a TOEFL score
of at least 550 (paper-based) or 213 (computer-based).
Requirements, Advanced Certificate in Statistical
Quality
Download requirements PDF
For the advanced certificate in statistical quality the satisfactory
completion of the following is required.
- Basic familiarity with statistical software
Students should have basic familiarity with MINITAB®
statistical software. This may be obtained by experience;
by "Data Analysis Using MINITAB", a three-day,
non-credit course in data analysis and statistical computing;
through similar MINITAB short courses, or as part of 0307-742
Statistical Computing, which covers both SAS® and MINITAB
software.
- Six courses from this list:
0307-721 Statistical Process Control
0307-731 Statistical Acceptance Control
0307-772 Applied Survey Design and Analysis
0307-781 Quality Management
0307-782 Quality Engineering
0307-801 Design of Experiments I
0307-802 Design of Experiments II
A student may instead elect to take the on-campus course
0307-770, Design of Experiments for Engineers and Scientists,
along with the five non-experimental-design courses above
(721, 731, 772, 781, and 782) to earn the certificate.
However, the 770 course cannot be applied toward the MS
in Applied Statistics or the Advanced Certificate in Statistical
Methods for Product and Process Improvement.
Students should fill out a Plan
of Study form within the first five weeks after matriculation
for these courses.
Students who wish to earn a six-sigma black belt after
earning their advanced certificate should ensure an appropriate
course selection by looking at our
black-belt requirements.
- Other requirements
The candidate must attain an overall average program grade
of 3.0 (B) for graduation -- contact
CQAS for more details.
- Application For Graduation
All students must file an Application
for Graduation with the Institute at least three quarters
before their planned graduation date. The Program Code for
this certificate is "EQAC". This form should be
filled out and mailed to the department at:
Rochester Institute of Technology
The John D. Hromi Center for Quality and Applied Statistics
98 Lomb Memorial Dr.
Rochester, NY 14623-5604
or faxed to: (585) 475-5959
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Advanced Certificate
in Statistical Methods for Product and Process Improvement
The Advanced Certificate in “SMPPI” is being updated to a more general Advanced Certificate in Applied Statistics in semesters beginning in the fall of 2013.
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 those
statistical methods that are most closely related to their
work, but who wish to finish a program in a shorter time period
than our MS program.
This advanced certificate requires 18 credits (equivalent
of 6 courses) and is available to part-time students. The
courses are offered both in on-campus and online formats and
consist of a subset of the courses in the MS program. The
online-learning option makes this certificate especially appealing
to students who are not able to attend classes on the RIT
campus.
Graduates of this program will be able to characterize (and
hence most likely reduce) variation in their processes; optimize
processes through experimental design; and model processes
through regression. Based on electives, the graduate may also
be able to construct robust processes and products, perform
time series modeling, study reliability of products, or investigate
complex relationships through multivariate analyses.
Admission
Admission to this advanced certificate program will be granted
to qualified holders of a baccalaureate degree from an accredited
college or university who have:
- an acceptable GPA (3.0 recommended)
- acceptable probability and statistics college credits, equivalent to 0307-711, 712 and 714.
- One course in calculus, with at least a 3.0 GPA. (Note
that the requirements for university-level calculus apply
to the requirements for the MS in Applied Statistics but
not to this advanced certificate.)
Applicants who fail to meet these requirements may be admitted on a contingency basis -- they will be required to complete these prerequisites prior to matriculation in the certificate program.
Entrance exams are not required. However, international
students whose native language is not English must have a
TOEFL score of at least 550 (paper-based) or 213 (computer-based).
Requirements, Advanced Certificate in Statistical
Methods for Product and Process Improvement
Download requirements PDF
For the advanced certificate in statistical methods for product
and process improvement the satisfactory completion of the
following is required.
For a student who has already completed the advanced certificate
in statistical quality and who meets the admission requirements,
credit will be given for 0307-717 and 0307-818. As a result,
only four courses would be required for completion of this
second certificate program.
- Basic familiarity with statistical software
Students should have basic familiarity with MINITAB®,
or equivalent, statistical software. This may be obtained
by experience; by "Data Analysis Using MINITAB",
a three-day, non-credit course in data analysis and statistical
computing; through similar MINITAB short courses, or as
part of 0307-742 Statistical Computing, which covers both
SAS® and MINITAB software.
- Six courses
Three core courses:
0307-801 Design of Experiments I
0307-802 Design of Experiments II
0307-841 Regression Analysis I
Three electives, selected from this list, should be chosen
with the help of an advisor:
0307-803 Design and Analysis of Experiments III
0307-831 Multivariate Applications
0307-842 Regression Analysis II
0307-846 Principles of Data Mining
0307-862 Reliability Statistics I *
0307-873 Time Series Analysis
0307-883 Quality Engineering by Design
0307-884 Categorical Data Analysis
* Calculus with integration is a prerequisite for this course.
Students should fill out a Plan
of Study form within the first five weeks after matriculation
for these courses.
- Other requirements
The candidate must attain an overall average program grade
of 3.0 (B) for graduation -- contact
CQAS for more details.
- Application For Graduation
All students must file an Application
for Graduation with the Institute at least three quarters
before their planned graduation date. The Program Code for
this certificate is "EQAD". This form should be
filled out and mailed to the department at:
Rochester Institute of Technology
The John D. Hromi Center for Quality and Applied Statistics
98 Lomb Memorial Dr.
Rochester, NY 14623-5604
or faxed to: (585) 475-5959
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