MS in Electrical Engineering

The Master of Science (MS) program in Electrical Engineering is designed to prepare students for technically demanding careers in industry as well as for post-master’s graduate studies in Electrical Engineering or related fields. More specifically:

  • It allows students to take up to 28 credits of advanced engineering courses of structured and rigorous content in preparation for careers in industry as well as entry into PhD programs in Electrical Engineering and related areas.
  • It requires students to build depth in an Electrical Engineering specialization, selected from areas such as signal processing and communication, systems and control, electromagnetics and photonics, and materials, circuits, and devices.
  • It requires students to perform 4 to 8 credits of independent research in the form of a thesis or a research project.
  • It affords students the opportunity to flexibly choose graduate electives to explore technical or professional interests within engineering.
  • It has a practicum requirement that is satisfied by doing a 4-credit thesis, a 4-credit project, or taking two project-intensive courses.

Admission to the MS in Electrical Engineering program is based on the same academic standards as the MEng in Electrical Engineering with regard to standardized tests, undergraduate GPA, and undergraduate coursework preparation.

Curriculum

The MS curriculum in electrical engineering requires completion of 32 graduate-level credits, while satisfying a specialization requirement and a practicum requirement. The remaining credits can be selected from a broad range of graduate electives. The credits of a course can only be used to fulfill the MS requirements if the student receives a grade of C or better in the course. Students should also maintain a cumulative GPA of 3.0 across all graduate-level courses taken while enrolled in the MS program.

The specialization requirement is met by taking four structured graduate courses from a specialization. Students with appropriate prerequisites may petition to use two 700-level courses to meet the specialization requirement.

The graduate electives can be electrical & computer engineering (ECE) graduate courses, non-ECE College of Engineering graduate courses, or College of Arts & Sciences graduate courses in scientific/technical areas. You must obtain a grade of C or better in each graduate elective. Graduate electives may include at most 8 credits of courses at the 9XX level.

MS Specialization Areas in Electrical Engineering

The course listings for the various MS specialization areas in Electrical Engineering are listed below. Please consult the ECE Department for the most current updates to these listings.

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 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/ME 501 State Space Control
  • ENG EC 505 Stochastic Processes
  • ENG EC 517 Introduction to Information Theory
  • ENG EC 524/ME 524 Optimization Theory and Methods
  • ENG EC 701/ME 764 Optimal and Robust Control
  • ENG EC 702 Recursive Estimation and Optimal Filtering
  • ENG EC 710/ME 710 Dynamic Programming and Stochastic Control
  • ENG EC 724/ME 724 Advanced Optimization Theory and Methods
  • ENG ME/SE 740 Vision, Robotics, and Planning
  • ENG ME/SE 755 Communication Networks Control
  • ENG ME/SE 762 Non-Linear Control of Mechanical Systems

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/ME 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 and Photonic Devices
  • ENG EC 775 VLSI Devices and Device Models
  • ENG EC 777 Nano-Optics
  • ENG EC 782 RF/Analog IC Design

Electromagnetics and Photonics

  • ENG EC 560 Introduction to Photonics
  • ENG EC 563 Fiber-Optic Communication Systems
  • ENG EC 566 The Atmosphere and Space Environment
  • ENG EC 567/ME 567 Electromagnetic Wave Computation
  • ENG EC 568 Optical Fiber Sensors
  • ENG EC 570 Lasers
  • ENG EC 591 Photonics Laboratory I
  • ENG EC 707 Radar Remote Sensing
  • ENG EC 731 Applied Plasma Physics
  • 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/BE 765 Biomedical Optics and Biophotonics
  • ENG EC 770 Guided-Wave Optoelectronics
  • ENG EC 773/BE 773 Advanced Optical Microscopy and Biological Imaging
  • ENG EC 777 Nano-Optics

Bioelectrical 
(If this specialization is selected, two of the graduate electives must be ENG BE 5XX or ENG BE 7XX)

  • 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 732 Combinatorial Optimization and Graph Algorithms
  • ENG EC 740/BE 740 Parameter Estimation and System Identification
  • ENG EC 765/BE 765 Biomedical Optics and Biophotonics
  • ENG EC 772 VLSI Graduate Design Project
  • ENG EC 782 RF/Analog IC Design