Master of Science in Applied Statistics, entering students Fall 2013.
This master's degree is also available in our online-learning
The MS degree, which requires 30 credits (equivalent to 10
courses), is available to both part-time or full-time students
on RIT's campus or to part-time students through online learning.
The online learning option makes this degree especially appealing
to students who are not able to attend classes on the RIT
campus. Students working toward their baccalaureate degree
in certain departments at RIT are eligible to apply for a
joint BS/MS program. Cooperative education options are also
Many of our part-time students are full-time professionals
who want to learn state-of-the art statistical techniques
to enhance their careers and their value to their companies.
Other part-time students are full-time professionals who want
to change careers and become statistical consultants for their
companies. MS students who do not fit the full-time professional
category typically attend RIT on a full-time basis and use
the degree to gain employment as statisticians.
The MS degree is primarily intended for those students who
do not wish to pursue a degree beyond the MS. However, a number
of our students have continued their studies, and are either
working on, or have attained, a Ph.D.
Admission to the MS degree program will be granted to qualified
holders of a baccalaureate degree from an accredited college
or university who have an acceptable GPA and mathematics credits,
including acceptable grades in a two-semester (or three-quarter)
sequence of university-level calculus, and acceptable probability
and statistics college credits. An undergraduate GPA of 3.0 is strongly recommended.
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 graduate
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). Full-time
students must begin their full-time studies in the fall quarter.
Part-time students may begin their studies based on our schedule
Requirements, Master of Science
For the Master of Science in applied statistics the satisfactory
completion of the following is required.
- Core courses
CQAS-611 Statistical Software
CQAS-721 Theory of Statistics I
CQAS-741 Regression Analysis
CQAS-722 Theory of Statistics II
CQAS-701 Foundations of Experimental Design
- Electives (4 courses)
- Full-time, on-campus students must register for and attend CQAS-795, Statistical Seminar, in the fall and spring semesters of their first year. This is a zero-credit course, graded on a pass/fail basis.
- CQAS-792 Capstone
Students, in conjunction with their adviser’s recommendations,
should take the core courses early in the program. If this is not possible because of scheduling,
they must be taken as soon as possible. Students should fill out a Plan
of Study (MS Word Download) form within the first five
weeks after matriculation for full-time students.
The MS candidate must attain an overall average program
grade of 3.0 (B) for graduation. Coursework must
be completed within seven years. Contact
the department for more details on these requirements.
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
the MS degree is "EQAS". 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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