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MEng: Electrical Engineering

Electrical 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. Numerous subfields are found within this broad discipline, all of which are built on the foundations of mathematics and computer science, physical and life sciences, electromagnetics, electronics, and systems. The program is flexible, allowing the student either to focus on a single specialization, or to build an individualized curriculum from a combination of complementary subfields.

Course Requirements

Core Courses

Electronic Systems

  • ENGS 125: Power Electronics and Electromechanical Energy Conversion
  • ENGS 128: Advanced Digital System Design
  • ENGS 129: Biomedical Circuits and Systems

Signal Processing

Nano/microelectronics

  • ENGS 126: Analog Integrated Circuit Design
  • ENGS 129: Biomedical Circuits and Systems
  • ENGS 162: Basic Biological Circuit Engineering
  • ENGS 262: Advanced Biological Circuit Engineering
  • ENGG 324: Microstrip Lines and Circuits

Optics/Electromagnetics

  • ENGS 120: Electromagnetic Waves: Analytical and Modeling Approaches
  • ENGS 123: Optics
  • ENGS 220: Electromagnetic Wave Theory

Additional Courses

Electronic Systems

  • ENGS 159: Molecular Sensors & Nanodevices in Biomedical Engineering
  • ENGS 169: Intermediate Biomedical Engineering
  • ENGS 147: Mechatronics

Signal Processing

Nano/microelectronics

Data Science

  • ENGS 108: Applied Machine Learning
  • COSC 174: Machine Learning and Statistical Data Analysis
    (Credit allowed for only one of COSC 174 or ENGS 108)
  • COSC 178: Deep Learning

Mathematics

  • ENGS 92: Fourier Transforms and Complex Variables
  • ENGS 105: Computational Methods for Partial Differential Equations I
  • ENGS 106: Numerical Linear Algebra
  • PHYS 100: Mathematical Methods for Physicists Fall
  • PHYS 105: Electromagnetic Theory I Winter
  • PHYS 106: Electromagnetic Theory II Spring
  • PHYS 110: Methods in Applied Mathematics II