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Industrial and Systems Engineering Minor

Program Details

Degree

Minor

Available

On campus

Contact

Office of Undegraduate Admissions1-201-216-8025[email protected]

The Industrial and Systems Engineering (ISE) minor at Stevens focuses on the ‘big picture’ systems perspectives and knowledge to model and maintain complex systems with a specialization in data analysis aspects of the industrial and systems engineering fields. The ISE minor is concerned with designing, managing and optimizing solutions to improve quality, performance and efficiency.

Minor in Industrial and Systems Engineering Requirements

The minor in Industrial and Systems Engineering is open to engineering students enrolled in an engineering major. (Non-engineering majors are not eligible for this minor.) Students must possess a cumulative GPA of at least 3.0 at graduation.

Required courses for the minor are as follows:

  • SYS 501 Probability & Statistics for Systems Engineers

  • SYS 581 Introduction to Systems Engineering

  • ISE 357 Elements of Operations Research I

Plus two of the following courses:

  • ISE 345 Modeling and Simulation

  • ISE 350 Logistics and Supply Chain Management

  • ISE 457 Elements of Operations Research II

  • EM 585 Introduction to System Architecture and Design

 Plus the following required Engineering Core Courses – Interdisciplinary Senior Design:

  • Ex 423 X1,X2, or X3 Section (ISE Minor Advisor serves as co-advisor)

  • Ex 424 X1,X2, or X3 Section (ISE Minor Advisor serves as co-advisor)

Message from Director

Photo of Doctor Kathryn AbelDr. Kathryn Abel, industry associate professor, undergraduate engineering management, and industrial and systems engineering programs lead at the School of Systems and Enterprises.

Dr. Kathryn Abel, Director of Undergraduate Academics, Engineering Management

Industrial and systems engineers are increasingly in demand for their valuable systems approach to complex, highly interconnected products and processes. Stevens industrial and systems engineers bring an in-depth knowledge of data analytics to their distributed decision-making approach that allows them to address unstructured problems and create innovative, optimized and impactful solutions that help businesses adapt to new technologies and situations that increase efficiency while reducing industrial costs.