Master of Engineering - Systems Engineering (MEng)

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Master of Engineering - Systems Engineering (MEng)

Degree Awarded

Master of Engineering (MEng)

Contact Information

Angela Harguess
Coordinator Senior
Global Outreach & Extended Education
Ira A. Fulton Schools of Engineering
Arizona State University
(480) 965-1878

Program Information

The Master of Engineering degree program offers an area of study in Systems Engineering.

This interdisciplinary program provides students the ability to engineer complex products, processes, and services leveraging a systems engineering approach.

Systems engineering focuses on defining needs and customer requirements early in the development cycle. Systems engineering appears to be all things to all people. The official definition comes from INCOSE-International Council on Systems Engineering:

"An interdisciplinary approach and means to enable the realization of successful systems. It focuses on defining customer needs and required functionality early in the development cycle, documenting requirements, then proceeding with design synthesis and system validation."

This flexible online "anytime, anyplace" program was designed with input from global corporations and targets professionals leading major complex systems development or programs at their companies. The key to this program is the amalgamation of several professional association and certificate programs:

  • INCOSE--International Systems Engineering Society
  • CMII- Configuration Management Institute
  • PMI- Program Management Institute

A sample program of study is designed, but students can structure their electives based on interest. For example, develop electives across disciplines or concentrated in one discipline (ie: software, hardware). Once admitted to the program, students can collaborate with their advisor on the appropriate courses to achieve their academic goals and objectives.

The MEng is designed for working professionals and delivered entirely online to meet the unique needs of professional engineers. It is a practice-oriented degree.

Admission Requirements

  • Students seeking admission into the program must hold a bachelor of science in engineering or math.
  • Applicants must have a minimum grade point average of 3.0 in the last 60 undergraduate credit hours.
  • No GRE is required.
  • Applicants must submit a professional resume and personal statement as part of the online admissions application.
  • Official transcripts for the undergraduate degree (and graduate coursework, if applicable) should be sent to the Graduate College. 
  • All applicants must meet the English proficiency requirements, as defined by the Graduate College.

Degree Requirements

Students must complete a total of 30 credit hours equaling 10 courses to earn a Masters of Engineering Degree.

A culminating experience is required and will be identified by the student’s advisory committee. It could be a final examination or the final report for a practice-oriented project (Applied Project IEE593).


Core Courses (Students must select seven core courses):

  • IEE 556 Introduction to Systems Engineering (Required)
  • IEE 505 Information Systems Engineering
  • IEE 512 Introduction to Financial Engineering
  • IEE 530 Enterprise Modeling
  • IEE 541 Engineering Administration
  • IEE 545 Simulating Stochastic Systems
  • IEE 552 Strategic Technologic Planning (management course meeting MEng requirements) *students may not take FSE 501 if this course is completed
  • IEE 572 Design of Experiments (math course meeting MEng requirements)
  • IEE 574 Applied Deterministic Operations Research
  • IEE 454 Risk Management
  • IEE 458 Project Management

Example Elective Categories/Courses (Select two electives from one area):


  • CSE 563 Software Requirements and Specifications
  • CSE 566 Software Project, Process and Quality Management
  • CSE 561 Modeling and Simulation Theory and Application
  • CSE 598 Software Analysis and Design


  • EEE 581 Filtering of Stochastic Processes
  • EEE 582 Linear System Theory
  • EEE 585 Digital Control Systems
  • EEE 586 Nonlinear Control Systems
  • EEE 587 Optimal Control Systems


  • IEE 593 Applied Project - Systems Engineering