MEng in Electrical Engineering

The Master of Engineering (MEng) degree in Electrical 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

Why Get an MEng? An MEng:

• Does not require a thesis, unlike an MS
• Prepares you for a career in industry (MS degrees are more research-focused)
• Gives you an advantage as the number of engineering manager jobs is predicted to grow in the coming years
• Can be completed in one year
• Includes coursework that emphasizes technology leadership skills and management in the global workplace, as well as advanced technical training

The MEng degree 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.

Curriculum

To receive the MEng degree in Electrical Engineering, a student must complete 32 credits, all of which must be at the 500 level or higher. A 3.0 (B) average must be maintained to graduate and grades of C– or lower are unacceptable for credit. Students are required to take at least 24 credits of structured coursework (500 or 700 level courses) from EC. Up to 8 credits may be transferred from other approved graduate schools.

The required coursework includes:

• 16 credits of concentration electives. This may include up to four EC900-level credits.
• 8 credits of advanced technical electives. These must be EC700-level coursework.
• Graduate technical electives. The remainder of the course requirements may be met through graduate technical electives which include all courses at the 500 level or above in ENG, as well as courses in the following CAS departments: astronomy, biology, chemistry, cognitive and neural systems, computer science, mathematics, and physics, except courses for nonmajors.
• Project credits. Students may take 4 project credits. They may also count as a concentration requirement but not as an advanced technical elective.

Note: Students are encouraged to explore graduate technical electives that embrace technical project management, entrepreneurship, or leadership development; some of these courses include: ENG EC 518 Project Management for Software-Intensive Systems, ENG EK 730 Technology Commercialization, ENG ME 502 Intellectual Assets: Creation, Protection, and Commercialization, ENG ME 525 Technology Ventures, GSM SI 851 Entrepreneurship, GSM SI 852 Starting New Ventures, and GSM SPI 853 Entrepreneurial Management.

Concentrations in Electrical Engineering

Signal Processing and Communications

• ENG EC 505 Stochastic Processes
• ENG EC 515 Digital Communication
• ENG EC 516 Digital Signal Processing
• ENG EC 517 Introduction to Information Theory
• ENG EC 520 Digital Image Processing and Communication
• ENG EC 563 Fiber Optic Communication Systems
• ENG EC 702 Recursive Estimation and Optimal Filtering
• ENG EC 715 Wireless Communications
• ENG EC 716 Advanced Digital Signal Processing
• ENG EC 717 Image Reconstruction and Restoration
• ENG EC 719 Statistical Pattern Recognition
• ENG EC 720 Digital Video Processing

Systems and Control

• ENG EC 501 State Space
• ENG EC 505 Stochastic Processes
• ENG EC 524 Optimization Theory and Methods
• ENG EC 701 Optimal and Robust Control
• ENG EC 702 Recursive Estimation and Optimal Filtering
• ENG EC 710 Dynamic Programming and Stochastic Control
• ENG EC 724 Advanced Optimization and Methods
• ENG SE/ME 740 Vision, Robotics, and Planning
• ENG SE/ME755 Communication Networks Control
• ENG SE/ME 762 Non-Linear Control of Mechanical
  Systems

Networking and Communications

• ENG EC 505 Stochastic Processes
• ENG EC 515 Digital Communication
• ENG EC 517 Introduction to Information Theory
• ENG EC 541 Computer Communication Networks
• ENG EC 544 Networking the Physical World
• ENG EC 561 Error-Control Codes
• ENG EC 700 Game Theory for Communications
• ENG EC 715 Wireless Communications
• ENG EC 724 Advanced Optimization and Methods
• ENG EC 725 Queuing Systems
• ENG EC 727 Advanced Coding
• ENG EC 733 Discrete Event Simulation
• ENG EC 744 Mobile Computing and Networking
• ENG EC 749 Interconnection Networks
• ENG SE 741 Randomized Network Algorithms

Solid-State Circuits, Devices, and Materials

• ENG EC 571 VLSI Principles and Applications
• ENG EC 574 Solid State Devices
• ENG EC 575 Semiconductor Devices
• ENG EC 578 Fabrication Technology for Integrated Circuits
• ENG EC 579 Microelectronic Device Manufacturing
• ENG EC 580 Modern Active Circuit Design
• ENG EC 582 RF/Analog IC Design Fundamentals
• ENG EC 770 Guided-Wave Optoelectronics
• ENG EC 771 Physics of Compound Semiconductor Devices
• ENG EC 772 VLSI Graduate Design Project
• ENG EC 774 Semiconductor Quantum Structures/Photonic Devices
• ENG EC 775 VLSI Devices and Device Models
• ENG EC 777 Nano-Optics
• ENG EC 782 RF/Analog IC Design

Photonics

• ENG EC 560 Introduction to Photonics
• ENG EC 563 Fiber Optic Communication Systems
• ENG EC 568 Optical Fiber Sensors
• ENG EC 569 Introduction to Subsurface Imaging
• ENG EC 570 Lasers
• ENG EC 574 Semiconductor Materials
• ENG EC 575 Semiconductor Devices
• ENG EC 577 Electrical Properties of Materials
• ENG EC 591 Photonics Laboratory I
• ENG EC 760 Advanced Topics in Photonics
• ENG EC 762 Quantum Optics
• ENG EC 763 Nonlinear and Ultrafast Optics
• ENG EC 764 Optical Measurement
• ENG EC 765 Biomedical Optics and Biophotonics
• ENG EC 770 Guided-Wave Optoelectronics
• ENG EC 771 Comp Semi Devices
• ENG EC 774 Quantum Structures and Devices
• ENG EC 777 Nano-Optics
• ENG EK 720 Biophotonic System Design and Prototyping

Radio Science

• ENG EC 505 Stochastic Processes
• ENG EC 516 Digital Signal Processing
• ENG EC 560 Introduction to Photonics
• ENG EC 566 The Atmosphere and Space Environment
• ENG EC 702 Recursive Estimation and Optimal Filtering
• ENG EC 707 Radar Remote Sensing
• ENG EC 716 Advanced Digital Signal Processing
• ENG EC 717 Image Reconstruction and Restoration
• ENG EC 731 Applied Plasma Physics
• CAS AS 727 Cosmic Plasmas
• CAS AS 783 Ionospheres

Energy Technologies

• ENG EC 543 Sustainable Power Systems
• ENG EC 573 Solar Energy Systems
• ENG EC 574 Semiconductor Materials
• ENG EC 575 Semiconductor Devices
• ENG EK 546 Assessment of Sustainable Energy Technologies
• ENG ME 545 Electrochemistry of Fuel Cells and Batteries

Bioelectrical (2 EC courses and 2 BE courses)

• ENG EC 505 Stochastic Processes
• ENG EC 516 Digital Signal Processing
• ENG EC 520 Digital Image Processing and Communication
• ENG EC 571 VLSI Principles and Applications
• ENG EC 580 Modern Active Circuit Design
• ENG EC 582 RF/Analog IC Design Fundamentals
• ENG EC 716 Advanced Digital Signal Pressing
• ENG EC 717 Image Reconstruction and Restoration
• ENG EC 720 Digital Video Processing
• ENG EC 740 Parameter Estimation and System
  Identification
• ENG EC 765 Biomedical Optics and Biophotonics
• ENG EC 772 VLSI Graduate Design Project
• ENG EC 782 RF/Analog IC Design
• ENG EK 720 Biophotonic System Design and Prototyping
• ENG BE 511 Biomedical Instrumentation
• ENG BE 512 Biomedical Instrument Design
• ENG BE 515 Introduction to Medical Imaging
• ENG BE 516 Applied Medical Imaging
• ENG BE 540 Bioelectric Signals: Analysis and Interpretation
• ENG BE 747 Adv. Signals and Sys. Analysis for BME