Part-time & Graduate Enrollment Services
Product Development MS
Program overview
The master of science in product development is a leadership program designed for engineers, scientists, technical managers, and other experienced professionals who aspire to mid- and senior-level positions associated with product innovation. The program integrates business and engineering courses consistent with cross-functional, end-to-end product development, as well as the systems perspective critical to conceive, create, launch, and support today’s complex product portfolios.
To stay on the cutting edge, the program was designed by academic and industry leaders and integrates formal education with state-of-the-art research and industrial best practices. Electives and a capstone project provide flexibility to tailor the program's content to specific learning objectives of students and sponsoring organizations.
Product development, MS degree, typical course sequence (semesters), effective fall 2013
| Course | Sem. Cr. Hrs. | |
|---|---|---|
| First Year | ||
| ISEE-781 | Excellence in New Product Development | 3 |
| ISEE-771 | Engineering of Systems I | 3 |
| ISEE-772 | Engineering of Systems II | 3 |
| ISEE-751 | Decision and Risk Benefit Analysis | 3 |
| ACCT-703 | Accounting for Decision Makers | 3 |
| ISEE-750 | Systems and Project Management | 3 |
| Second Year | ||
| MKTG-761 | Marketing Concepts and Commercialization | 3 |
| DECS-743 | Operations and Supply Chain Management | 3 |
| Engineering or Business Elective | 3 | |
| ISEE-797 | MPD Capstone I | 3 |
| ISEE-798 | MPD Capstone II | 3 |
| Engineering Elective | 3 | |
| Total Semester Credit Hours | 36 | |
Admission requirements
To be considered for admission to the MS program in product development, candidates must fulfill the following requirements:
- Hold a baccalaureate degree (or equivalent) in engineering, or a related scientific or technical field,
- Have a minimum cumulative grade point average of 3.0,
- Have at least two years of experience in product development or a related business environment,
- Submit official transcripts (in English) of all previously completed undergraduate and graduate course work,
- Submit two professional recommendations,
- Submit a current resume, and
- Complete a graduate application.
Exceptions may be considered on a case-by-case basis. No graduate entrance exam is required, although candidates are welcome to support their application with results from the Graduate Management Admission Test (GMAT) or the Graduate Record Exam (GRE).
Additional information
Prerequisites
Students must possess knowledge and skills at the introductory level in applied probability and statistics. Areas that need strengthening may be addressed by guided reading, independent study, or formal course work.
Format
Students may start the program during any semester and complete the course work at their own pace. Classes are available on campus (evenings) and online to accommodate the needs of local students as well as those who travel or who live outside the Rochester, N.Y. area.
Students may take up to three courses on a nonmatriculated basis. Credits earned while enrolled as a nonmatriculated student may be applied to the degree program following formal admission.
Career Outcomes
Recent EmployersAlstom, Bausch & Lomb, Branson Ultrasonics, Carestream Health, Cliftronics, Corning, Delphi, Eaton, Ginzler Graphics, Gleason, Greatbatch, GW Lisk, Honeywell, Harris RF, Inficon, Infimed, ITT Fluid Technology, ITT Space Systems, Johnson & Johnson, Kodak, Parker Hannifin, PPC, RIT, Sensis, Vanlab, Veeco, Welch-Allyn, Xerox.