2013-2014 Undergraduate and Graduate Bulletin (with addenda) 
    Sep 20, 2018  
2013-2014 Undergraduate and Graduate Bulletin (with addenda) [ARCHIVED CATALOG]

Systems Engineering

Program Co-Directors: Zhong-Ping Jiang and Farshad Khorrami

Systems engineering is the theoretical knowledge underlying the engineering of modern complex systems. Systems engineers apply this knowledge to designing systems, usually integrating several disciplines to achieve the desired objective. Theoretical resources include newer branches of applied mathematics, modeling and simulation, analysis of signals and systems, communication and control theories, optimization and decision-making techniques, and computer science.

Faced with a diverse and complex scientific environment, systems engineering assignments cross traditional engineeringapplications lines. These applications include communications, networking, transportation, urban services, bioengineering, resource management, power and energy, and environmental and pollution control.

The Systems Engineering Program stresses computer use. The interdisciplinary program covers the viewpoints, analysis and mathematical techniques of signals and systems; feedback control; data analysis; optimization and simulation, information communication; instrumentation and measurement. NYU-Poly orientation and training gives systems engineering students the ability to analyze and solve today’s complex technological and societal problems.

The Department of Electrical and Computer Engineering administers the Master of Science in Systems Engineering Program. Outstanding students should apply for financial aid including research fellowships, teaching fellowships or partial tuition remission. Students who wish to continue graduate study toward a PhD in systems engineering may do so in the PhD in Electrical Engineering Program.

Goals and Objectives

The Master of Science program in Systems Engineering aims to provide students with:

  • Skills and advanced knowledge in engineering-systems design and analysis, including modeling and simulation, signals and systems analysis, communication and control theories, and optimization and decision-making techniques.
  • Modern computer training for analysis, simulation and solving real system problems.
  • Baseline skills and knowledge in systems engineering project management.
  • A basis for continued, lifelong learning in the profession.


    Master of Science