Part-time Study
Applied Statistics
Program Overview
Statistics is the science of making decisions in the face of uncertainty. Statistical thinking and methods are essential to a broad spectrum of industrial, research, educational, business, and government activities. The Kate Gleason College of Engineering at RIT, through the John D. Hromi Center for Quality and Applied Statistics, offers a master of science degree in applied statistics that provides instruction in state-of-the-art statistical thinking and methods.
Many students in the program are full-time professionals who want to learn state-of-the-art statistical techniques to enhance their careers and their value to their companies. Others want to change careers and become statistical consultants for their companies. Those who do not fit the full-time professional category typically use the degree to gain employment either as statistical consultants or quality engineers. The online learning schedule has been arranged so that students may take one or two courses per quarter. Students pursuing the MS on a part-time basis complete the degree in two to four years when normal progress is made.
Curriculum Review
Satisfactory completion of the following is required for the master of science in applied statistics:
1. Seven core courses:
Students, in conjunction with their advisers’ recommendations, should take the core courses early in the program. In any event, they must be taken within the first 30 credit hours of the degree.
Career Options:
Quality Engineering
Industrial Statistics
Statistical Theory and Methods
Students may instead, with the consent of their advisers, create a personalized career option by selecting a set of four courses other than those listed above. Quality Engineering, Industrial Statistics, and personalized career options are available online. Advisers will help to identify an appropriate career option and to develop a total program structured to meet individual professional objectives.
Four electives, thesis option, or project option
Four additional courses are chosen with the help of an adviser.
These courses are usually department courses but may include
up to nine credits from other courses that are related to the
program and that are consistent with professional objectives.
All students, with the approval of their advisers, may choose to
write a research thesis or research project instead of taking the
full four electives. Most theses are for six credits, reducing the
number of electives to two; projects are usually for three credits.
Admission Requirements
Procedure
To be considerd for admission, prospective students must file an application, submit transcripts of all previous undergraduate and graduate work, obtain two letters of recommendation, and pay an application fee. (RIT graduates do not have to pay this fee). Forms and instructions, including quarterly offerings and registration forms, may be obtained by writing to:
Office of Graduate Enrollment Services, Rochester Institute of Technology, 58 Lomb Memorial Drive, Rochester, NY 14623
Prerequisites
Acceptable grades in a two-semester (or three-quarter) sequence of university-level calculus, and acceptable probability and statistics college credits, equivalent to 0307-711 and 712. Applicants who fail to meet these requirements may be admitted on a contingency basis, and will be required to complete these prerequisites prior to matriculation in the graduate program.