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MEng: Electrical/Computer Engineering

Electrical/computer engineering leverages the fundamental principles surrounding electricity to advance today’s emerging technologies ranging from semiconductor devices to advanced communication networks, from self-powered sensors to electric cars, from wearable devices to cognitive medical imaging, and from autonomous vehicles to smart cities. Students may focus on a single specialization within electrical and computer engineering, or build an individualized curriculum from a combination of complementary subfields within the track.

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Course Requirements

Core Courses (choose five, all from one subfield)

Computer Engineering

  • ENGS 93: Statistical Methods in Engineering
  • ENGG 107: Bayesian Statistical Modeling and Computation
  • ENGS 108: Applied Machine Learning or COSC 274: Machine Learning and Statistical Data Analysis
  • ENGS 112: Modern Information Technologies
  • ENGS 128: Advanced Digital System Design
  • COSC 55: Security and Privacy
  • COSC 258: Operating Systems
  • COSC 269: Topics in Computer Systems
  • COSC 278: Deep Learning

Control, Signal Processing & Image Processing

Devices & Circuits

  • ENGG 122: Advanced Topics in Semiconductor Devices
  • ENGS 125: Power Electronics and Electromechanical Energy Conversion
  • ENGS 126: Analog Integrated Circuits
  • ENGS 129: Biomedical Circuits and Systems
  • ENGS 131: Science of Solid State Materials
  • ENGS 135: Thin Films and Microfabrication Technology
  • ENGS 159: Molecular Sensors & Nanodevices in Biomedical Engineering
  • ENGS 162: Basic Biological Circuit Engineering
  • ENGS 262: Advanced Biological Circuit Engineering

Optics and Electromagnetics

  • ENGS 120: Electromagnetic Waves: Analytical and Modeling Approaches
  • ENGS 123: Optics
  • ENGS 124: Optical Devices and Systems
  • ENGS 220: Electromagnetic Wave Theory
  • ENGS 105: Computational Methods for Partial Differential Equations I
  • PHYS 105: Electromagnetic Theory I Winter
  • PHYS 106: Electromagnetic Theory II Spring

Miniaturized and Mobile Health Sensors

  • ENGS 129: Biomedical Circuits and Systems
  • ENGS 159: Molecular Sensors & Nanodevices in Biomedical Engineering
  • ENGS 125: Power Electronics and Electromechanical Energy Conversion
  • ENGS 169: Intermediate Biomedical Engineering
  • ENGS 108: Applied Machine Learning

Electives (choose four, from the following)

The recommended courses listed here are for students who seek additional courses that allow for further depth of study in their chosen track.

Engineering

Any graduate-level engineering sciences course.

Design Project

Students enrolled in the design project elective may take the following three-course sequence to partially fulfill the four-course elective requirement.

Science

Any graduate-level science course.