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Applied Statistics MS

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/program/applied-statistics

Program overview

The MS program in applied statistics is available to both full- and part-time students with courses available both on-campus and online. Cooperative education is optional. The program is intended for students who do not wish to pursue a degree beyond the MS. However, a number of students have attained doctorate degrees at other universities.

Curriculum

The program requires 30 credit hours and includes five core courses, four electives, and a capstone.

Core courses

There are five required core courses. Students, in conjunction with their advisers’ recommendations, should take the core courses early in the program. 

Focus areas

  • Data Mining 
  • Design of Experiments
  • Engineering Applications
  • Health care Applications
  • Imaging Applications of Statistics
  • Industrial Applications of Statistics

Electives and capstone

Elective courses are chosen by the student with the help of their adviser. These courses are usually department courses but may include (along with transfer credits) up to 6 credit hours from other departments that are consistent with students’ professional objectives.

The required capstone course is designed to ensure that students can integrate the knowledge from their courses to solve more complex problems. This course is taken near the end of a student’s course of study. Students, with adviser approval, may choose to write a thesis as their capstone.

Applied statistics, MS degree, typical course sequence

Course Sem. Cr. Hrs.
First Year
CQAS-611 Statistical Software 3
CQAS-721 Theory of Statistics I 3
CQAS-741 Regression Analysis 3
CQAS-722 Theory of Statistics II 3
CQAS-701 Foundations of Experimental Design 3
  Elective 3
Second Year
  Electives 9
CQAS-792 Capstone 3
Total Semester Credit Hours 30

Admission requirements

To be considered for admission to the MS program in applied statistics, candidates must fulfill the following requirements:

  • Hold a baccalaureate degree from an accredited institution (minimum 3.0 GPA strongly recommended),
  • Have a satisfactory background in mathematics (one year of university-level calculus) and statistics (preferably two courses in probability and statistics)
  • Submit official transcripts (in English) of all previously completed undergraduate and graduate course work,
  • Submit a current resume,
  • Submit two letters of recommendation, 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 submitting scores may support the admission of an applicant who is deficient in certain admission requirements. 

Additional information

Lean Six Sigma Black Belt

Students may earn a Lean Six Sigma Black Belt by completing one or two additional courses and by successfully completing an approved Lean Six Sigma project at the student's organization or, alternatively, at an organization that will sponsor the student.

Grades

Students must attain an overall program grade-point average of 3.0 (B), with no more than two grades 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 MS program in applied statistics is available to both full- and part-time students. Cooperative education options also are available. The MS degree is also available in an online learning format, which is especially appealing to students who are unable to attend classes on campus.

The program is primarily intended for students who do not wish to pursue a degree beyond the MS. However, a number of our students are either working on, or have attained, a doctorate degree at other universities.

Curriculum

The program requires 45 quarter credit hours and includes seven core courses, four courses from a career option, three electives, and a capstone project.

Core Courses

There are seven require courses. Students, in conjunction with their advisers’ recommendations, should take the core courses early in the program. In any event, they must be completed within the first 30 quarter credit hours of the degree.

Career options

There are three standard career options, each of which is designed to allow students to specialize within their career endeavors. Specialized career options are also available.

CourseQtr. Cr. Hrs.
Quality engineering
0307-721 Statistical Process Control 3
0307-731 Statistical Acceptance Control 3
0307-781 Quality Management 3
0307-782 Quality Engineering 3
Industrial statistics
0307-803 Design of Experiments III 3
0307-846 Statistical Data Mining 3
0307-862 Reliability Statistics I 3
0307-883 Quality Engineering by Design 3
Statistical theory and methods
0307-824 Probability Models 3
0307-830 Multivariate-Analysis Theory 3
0307-831 Multivariate-Analysis Applications 3
0307-862 Reliability Statistics I 3

Electives and capstone

Three additional courses are chosen by students with the help of their advisers. These courses are usually department courses but may include (along with transfer credits) up to 9 quarter credit hours from other courses related to the program that are consistent with students’ professional objectives.

Students, with adviser approval, may choose to write a research thesis or conduct a research project instead of taking the full three electives. Theses are usually for 6 quarter credit hours, and projects are usually for 3 quarter credit hours.

A required capstone course is designed to ensure that students can integrate the knowledge from their courses to solve more complex problems. This course is taken near the end of a student’s course of study.

Full-time first-year students on scholarship must register for the Statistics Seminar (0307-895) in the fall, winter, and spring quarters. This is a required, non-credit-bearing course that is graded on a pass-fail basis.

Semester conversion
Effective fall 2013, RIT will convert its academic calendar from quarters to semesters. Each program and its associated courses have been sent to the New York State Department of Education for approval of the semester plan. For reference, the following charts illustrate the typical course sequence for this program in both quarters and semesters. Students should consult their graduate program adviser with questions regarding planning and course selection.

Applied statistics, MS degree, typical course sequence (quarters)

CourseQtr. Cr. Hrs.
First Year
0307-742 Statistical Software 3
0307-801 Design of Experiments I 3
0307-802 Design of Experiments II 3
0307-821 Theory of Statistics I 3
0307-822 Theory of Statistics II 3
0307-841 Regression Analysis I 3
0307-842 Regression Analysis II 3
  Career Option Courses 12
  Electives 9
  Capstone 3
Total Quarter Credit Hours 45

Applied statistics, MS degree, typical course sequence (semesters), effective fall 2013

CourseSem. Cr. Hrs.
First Year
CQAS-611 Statistical Software 3
CQAS-721 Theory of Statistics I 3
CQAS-741 Regression Analysis 3
CQAS-722 Theory of Statistics II 3
CQAS-701 Foundations of Experimental Design 3
  Elective 1 3
Second Year
  Elective 2 3
  Elective 3 3
  Elective 4 3
CQAS-792 Capstone 3
Total Semester Credit Hours 30

Admission requirements

To be considered for admission to the MS program in applied statistics, candidates must fulfill the following requirements:

  • Hold a baccalaureate degree from an accredited institution,
  • Submit official transcripts (in English) of all previously completed undergraduate and graduate course work,
  • Submit a current resume,
  • Submit two letters of recommendation, and
  • Complete a graduate application.

Additional information

Six Sigma Black Belt

Students may earn a Six-Sigma Black Belt after obtaining the MS in applied statistics or the advanced certificate in statistical quality. Students should ensure appropriate course selection by reviewing the Black Belt requirements on the center’s website. In addition, students will need to complete an additional qualifying project.

Advanced certificate programs

Two advanced certificate programs, in statistical quality and in statistical methods for product and process improvement, also are available. Each requires 18 quarter credit hours and both are available to part-time students. In both programs, the courses are a subset of the MS program courses and are offered on campus and in the online learning format. The advanced certificate in statistical quality is aimed primarily at quality managers, quality engineers, or those who aspire to such positions. 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, but who wish to finish a program in a shorter time period than the MS program.

Grades and maximum time limit

Students must attain an overall program grade-point average of 3.0 (B), with no more than two grades of C, for graduation. A minimum of 24 quarter credit hours in 800-level courses is required in the degree program. Course work must be completed within seven years. Contact the department for more details on these requirements.

Students are strongly encouraged to further develop their writing, speaking, presentation, and computer skills as they progress through the program.