The MS program in applied statistics is available to both full- and part-time students. Cooperative education options also are available. Courses in the MS degree are available both on-campus and online, the latter of 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 have attained doctorate degrees at other universities.

To view a more detailed list of courses for this program, click here.
Rochester Institute of Technology College of Science

The MS in Applied Statistics focuses on the following areas:

  • Data Mining 
  • Design of Experiments
  • Health Care Applications
  • Imaging Applications of Statistics
  • Industrial Applications of Statistics

The degree requires five core courses, four electives, and a capstone project. The four elective 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 six 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.

Curriculum List

CourseSem. Cr. Hrs.
First Year
STAT-611Statistical Software3
STAT-731Fundamentals of Statistical Theory3
STAT-741Regression Analysis3
STAT-701Foundations of Experimental Design3
Second Year
Total Semester Credit Hours30

Graduates are employed in many areas of statistics, including design and analysis of complex experiments, sophisticated modeling, and data mining. They work for a wide range of organizations, including industrial, marketing, education, insurance, credit, government, and health care.

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 (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, English Language Test scores, if you have not graduated from an United States University
  • Current resume,
  • Personal Statement of Objectives
  • Submit two letters of recommendation
  • Complete a graduate application.

GRE’s are not required, but may be beneficial for some students. International students will need to provide evidence of acceptable English reading, writing, and speaking skills. International students may require additional English language testing or classes for students who do not meet the minimum required English Language test scores. The minimum TOEFL ibt score for graduate study is 80. The minimum IELTS band score is 6.5 for graduate study.

Students must maintain an overall program grade-point average of 3.0 (B) for graduation. Course work must be completed within seven years. More details on these requirements may be found in these graduation requirements. 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.