Students within the Preston M. Green Department of Electrical & Systems Engineering graduate with the knowledge and skills to pursue a professional career or advanced degrees in fields that rely on key electrical engineering and systems principles and practices.

We offer four bachelor's degree options, including two professional degree programs, which are accredited by the Engineering Accreditation Commission of ABET:

We also offer applied science degrees, which prepare students for fields that benefit from an in-depth knowledge of electrical and systems engineering:

Learn to think like an engineer

As a first-year student, you'll be required to take ESE 105: Introduction to Electrical & Systems Engineering. From day one, you'll learn what it means to be an electrical or systems engineer, and how to use mathematics in a depth and manner you may have never seen before.

Once you learn to use math as a language to communicate ideas about electrical and other types of systems, you'll have a powerful tool to design those systems to solve society’s biggest challenges.

Curriculum & Electives

The Department of Electrical & Systems Engineering offers students the opportunity to refine their degree with in-depth study of a select focus area. 

For a better idea about how to plan your four years of study, review the Curriculum Flowchart.

Devices and Circuits
  • ESE 431: Introduction to Quantum Electronics
  • ESE 436: Semiconductor Devices
  • ESE 461:Design Automation for Integrated Circuit Systems
  • ESE 562: Analog Integrated Circuits
  • CSE 362: Computer Architecture
  • CSE 462: Computer Systems Design
Optics and Photonics
  • ESE 429: Basic Principles of Quantum Optics and Quantum Information
  • ESE 438: Applied Optics
  • ESE 444: Sensors and Actuators
  • ESE 531: Nano and Micro Photonics
  • ESE 582: Fundamentals and Applications
Quantum Engineering
  • ESE 429: Quantum Optics and Quantum Information
  • ESE 431: Introduction to Quantum Electronics
  • ESE 439: Introduction to Quantum Communications
  • ESE 532: Introduction to Nano-Photonic Devices
  • ESE 536: Introduction to Quantum Optics
Imaging/Signal Processing
  • ESE 425: Random Processes and Kalman Filtering
  • ESE 471: Communications Theory and Systems
  • ESE 482: Digital Signal Processing
  • ESE 520: Probability and Stochastic Processes
  • ESE 582: Fundamentals and Applications of Modern Optical Imaging
  • ESE 589: Biological Imaging Technology
Control, CPS and IoT
  • ESE 444: Sensor and Actuators
  • ESE 446: Robotics: Dynamics and Control
  • ESE 471: Communications Theory and Systems
  • ESE 551: Linear Dynamic Systems I
  • Math 429: Linear Algebra
Dynamics/Date
  • ESE 415: Optimization
  • ESE 482: Digital Signal Processing
  • ESE 520: Probability and Stochastic Processes
  • Math 429: Linear
Optimization and Theory of Learning
  • ESE 404: Applied Operations Research
  • ESE 415: Optimization
  • ESE 519: Convex Optimization
  • Math 429: Linear Algebra