MEng in Systems Engineering

The Master of Engineering (MEng) in Systems Engineering is a professional master’s program for students seeking to further their careers in industry. MEng programs are suited for:

  • Graduating senior students who want a one-year master’s in engineering before they look for industrial jobs.
  • Mid-career professionals who want to switch careers and would like to complete a one-year master’s degree between jobs.
  • Industry professionals who want exposure to engineering and management to further their careers.

An MEng:

  • Does not require a thesis, unlike an MS.
  • Prepares you for a career in industry (MS degrees are more research-focused).
  • Can be completed in one year.
  • Has coursework that includes an emphasis on technology leadership skills and management in the global workplace, as well as advanced technical training.

The MEng will complement existing programs by responding to the growing demand for professionals who can apply advanced graduate education to their work. Courses will prepare students for everything from entrepreneurship to project management.

MEng students must take 32 credits, all of which must be at the 500 level or higher and 16 credits of which must be structured courses. Courses used to satisfy the core requirements cannot also be used to satisfy the concentration requirements. The coursework requirements for the MEng are as follows:

  • Core (two courses)
  • Concentration (two courses)
  • Advanced technical course requirement (at least two courses 500-level or higher from the systems engineering concentration areas, or courses approved in advance by the Systems Engineering Graduate Committee.
  • MEng students are required to fulfill a practicum requirement of their program through satisfactory completion of project-based graduate courses approved by the division.
  • The remaining required MEng credit hours remain unstructured and can be chosen, with advisor approval, to meet an individual student’s academic needs.

The choice of courses must form a coherent and balanced program in Systems Engineering. MEng students should make their course selection in consultation with their faculty advisor.

Students must maintain a cumulative GPA of 3.00 to remain in good academic standing and to graduate. All graduate courses are counted in the GPA. Grades of C– or lower are not acceptable for the MEng degrees.

Learning Outcomes

Students who complete the MEng in Systems Engineering program will be able to:

  1. Apply knowledge of mathematics, science, and engineering to identify, formulate, and solve systems engineering problems.
  2. Understand the impact of engineering solutions in a global, economic, environmental, and societal context.
  3. Use modern engineering tools and techniques to successfully practice the engineering profession in a variety of settings.
  4. Use oral and written communication to convey technical concepts to engineers and non-engineers.
  5. Collaborate as member or leader of a technical project team.

Master of Engineering Structured Course Requirements

Core

  • ENG SE/EC 524 Optimization Theory and Methods
  • ENG SE/EC/ME 501 Dynamic Systems Theory or SE/EC/ME 710 Dynamic Programming and Stochastic Control
  • ENG SE/ME 714 Advanced Stochastic Modeling and Simulation or EC 505 Stochastic Processes or EK 500 Probability with Statistical Applications

Concentration

COMPUTATIONAL & SYSTEMS BIOLOGY
  • ENG BE 505 Molecular Bioengineering I
  • ENG BE 561 DNA and Protein Sequence Analysis
  • ENG BE 562 Computational Biology: Genomes, Networks, Evolution
  • ENG BE 567 Nonlinear Dynamics in Biological Systems
  • ENG BE 747 Advanced Signals and Systems Analysis for Biomedical Engineering
  • ENG BE 760 Structural Bioinformatics
  • ENG BE 767 Systems Biology
  • ENG BE 777 Computational Genomics I
CONTROL SYSTEMS
  • ENG EC 702 Recursive Estimation and Optimal Filtering
  • ENG EC 708 Advanced Process Control
  • ENG ME 560 Precision Machine Design and Instrumentation
  • ENG ME 570 Robot Motion Planning
  • ENG ME/MS 507 Process Modeling and Control
  • ENG SE/EC/ME 501 Dynamic Systems Theory
  • ENG SE/EC/ME 701 Optimal and Robust Control
  • ENG SE/EC/ME 710 Dynamic Programming and Stochastic Control
  • ENG SE/EC/ME 733 Discrete Event and Hybrid Systems
  • ENG SE/EC/ME 734 Hybrid Systems
  • ENG SE/ME 704 Adaptive Control
  • ENG SE/ME 740 Vision Robotics and Planning
  • ENG SE/ME 762 Nonlinear Systems and Control
ENERGY & ENVIRONMENTAL SYSTEMS
  • CAS EC 513 Game Theory
  • CAS EC 571 Energy & Environmental Economics
  • CAS EC 572 Public Control of Business
  • ENG EC/MS 573 Solar Energy Systems
  • ENG ME 533 Energy Conversion
  • ENG ME/MS 545 Electrochemistry of Fuel Cells and Batteries
  • ENG SE/EC/ME 543 Sustainable Power Systems
  • GRS EC 716 Game Theory
  • GRS GE 712 Regional Energy Modeling
  • QST OM 845 Clean Technology Business Models
NETWORK SYSTEMS
  • ENG EC 541 Computer Communication Networks
  • ENG EC 715 Wireless Communications
  • ENG EC 744 Mobile Networking and Computing
  • ENG SE/EC 741 Randomized Network Algorithms
  • ENG SE/EC/ME 544 Networking the Physical World
  • ENG SE/EC/ME 725 Queueing Systems
  • ENG SE/ME 755 Communication Networks Control
OPERATIONS RESEARCH
  • CAS CS 542 Machine Learning
  • ENG EC 503 Intro to Learning from Data
  • ENG EC/SE 523 Deep Learning
  • ENG ME/EC 514 Simulation
  • ENG SE/EC 524 Optimization Theory and Methods
  • ENG SE/EC 674 Optimization Theory and Methods II (PhD students only)
  • ENG SE/EC 732 Combinatorial Optimization and Graph Algorithms
  • ENG SE/EC/ME 710 Dynamic Programming and Stochastic Control
  • ENG SE/EC/ME 724 Advanced Optimization Theory and Methods
  • ENG SE/EC/ME 725 Queueing Systems
  • ENG SE/EC/ME 733 Discrete Event and Hybrid Systems
  • ENG SE/ME 714 Advanced Stochastic Modeling and Simulation
  • ENG SE/ME 766 Advanced Scheduling Models and Methods
PRODUCTION & SERVICE SYSTEMS
  • ENG ME 510 Production Systems Analysis
  • ENG ME 518 Product Quality
  • ENG SE/EC/ME 543 Sustainable Power Systems
  • ENG SE/EC/ME 733 Discrete Event and Hybrid Systems
  • ENG SE/ME 765 Production System Design
  • ENG SE/ME 766 Advanced Scheduling Models and Methods
  • QST OM 726 Creating Value Through Operations and Technology
  • QST OM 854 Supply Chain Management
SUGGESTED ELECTIVES
  • CAS CS 542 Machine Learning
  • CAS EC 511 Object-Oriented Software (not on course inventory)
  • CAS EC 611 Object-Oriented Software Principles and Design
  • ENG EC 504 Advanced Data Structures
  • ENG SE 700 Advanced Special Topics
  • ENG SE 951 Independent Study
  • ENG SE 952 Mentored Project
  • QST OM 855 Project Management
ENGINEERING MANAGEMENT COURSES
  • ENG EK 731 Biomedical Innovation
  • ENG ME 502 Invention: Technology Creation, Protection & Commercialization
  • ENG ME 517 Product Development
  • ENG ME 525 Technology Ventures
  • ENG ME 583 Product Management
  • ENG ME 584 Manufacturing Strategy
  • QST HM 801 Bench-to-Bedside: Translating BME Innovation from Lab to Marketplace
  • QST OB 848 E1 The Leadership Challenge
  • QST SI 839 Design & Innovation Strategy
  • QST SI 852 Starting New Ventures
  • QST SI 855 Entrepreneurship
  • QST SI 871 Tech to Market
PRACTICUM REQUIREMENT OPTIONS
  1. ENG SE 952 Mentored Project OR
  2. Two of the following OR
    • ENG EC 702 Recursive Estimation and Optimal Filtering
    • ENG EC 744 Mobile Networking and Computing
    • ENG ME 570 Robot Motion Planning
    • ENG ME/EC 514 Simulation
    • ENG ME/MS 507 Process Modeling and Control
    • ENG SE 755 Communication Networks Control
    • ENG SE/EC 741 Randomized Network Algorithms
    • ENG SE/EC/ME 543 Sustainable Power Systems
    • ENG SE/EC/ME 544 Networking the Physical World
    • ENG SE/EC/ME 701 Optimal and Robust Control
    • ENG SE/EC/ME 710 Dynamic Programming and Stochastic Control
    • ENG SE/EC/ME 724 Advanced Optimization Theory and Methods
    • ENG SE/EC/ME 725 Queueing Systems
    • ENG SE/EC/ME 732 Combinatorial Optimization and Graph Algorithms
    • ENG SE/EC/ME 733 Discrete Event and Hybrid Systems
    • ENG SE/EC/ME 734 Hybrid Systems
    • ENG SE/ME 704 Adaptive Control
    • ENG SE/ME 714 Advanced Stochastic Modeling and
      Simulation
    • ENG SE/ME 740 Vision Robotics and Planning
    • ENG SE/ME 762 Nonlinear Systems and Control
    • ENG SE/ME 765 Production System Design
    • ENG SE/ME 766 Advanced Scheduling Models and Methods
  3. A practicum course from other College of Engineering departments:
    • ENG BE 700 Advanced Topics in Biomedical Engineering
    • ENG EC 601 Product Design in ECE
    • ENG EC 952 Directed Group Project
    • ENG ME 526 Simulation of Physical Processes
    • ENG ME 560 Precision Machine Design and Instrumentation