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Minor

Minor in Engineering Analytics

Binghamton University Thomas J. Watson College of Engineering and Applied Science 13 courses

About This Program

The engineering analytics minor (EAM) is offered through the School of Systems Science and Industrial Engineering and is open to undergraduate majors in engineering, computer science, mathematics, and business. Students in this minor will acquire a set of practical data analytics skills, including understanding patterns in data, applying analytical frameworks, analyzing collected data in engineering problems, constructing predictive models, and discovering hidden relationships in data. Hence, students will gain a competitive advantage in this rapidly growing field and be better prepared to enter the workforce and analyze large data sets in their chosen fields.

Degree Requirements

Core Courses

Complete the following three core courses:

Code Course Title Credits
ISE 212 Engineering Computing 4
ISE 314 Computer Program for Engineers 4
ISE 261 Probabilistic Systems I 4
Total Core Courses 12 credits

Elective Courses

Complete three courses chosen from the following list*: ISE 464 - Elem of Fuzzy Logic & Fuzzy Set Theory. *Other courses may be considered in consultation with the Undergraduate Director and/or School Director. ** This course should be designed to address important issues in the field of engineering analytics.

Prerequisite Courses for Students with a Non-ISE Background

Students with a non-ISE background should note that the core courses have the following prerequisites:

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Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.

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