Undergraduate 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.

There are 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:

Undergraduate Research

As an undergraduate student, you can work side-by-side in the lab with some of the best faculty in engineering, medicine, and the sciences to solve problems, take entire courses focused on design, or create your own prototypes in our maker spaces and machine shop. You also can work with students from across WashU, including the medical school, through IDEA Labs, a student-run bioengineering design incubator that solves health care problems.

Independent Research Course Option

If you are interested in an Undergraduate Research opportunity in ESE, review the Currently Available ESE Undergraduate Research Projects. You can also review the ESE Research areas and associated faculty pages. Contact individual faculty members to inquire about research in their labs.

To register for ESE 497: Undergraduate Research, the project must be approved and supervised by an ESE faculty member. Complete the Undergraduate Research Form and submit to the ESE office with signatures from your research project faculty advisor and your academic faculty advisor.

60%

of Engineering undergraduate students engage in research and independent projects with faculty

Curriculum & Electives

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

 

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