Explore ECE PMP!

PMP Basics

The PMP is designed for students whose ultimate goal is to work in professional roles in industry. We welcome both current working professionals and full-time students who use the degree as a way to launch their career (and have excellent networking opportunities with their classmates!). Conversely, our daytime master’s is a better fit for those who desire a research-based degree (thesis-track) and who wish to continue to further graduate study.

Degree Requirements

The degree requires 45 quarter credits (equivalent to ~30 semester credits) and is designed to be very flexible. Full-time students complete the program in about a year and a half and part-time students complete the program in about 3 years. Unless you need to be full-time (F1 visa, veteran’s benefits, etc.), you can feel free to enroll in as few (1 credit minimum) or as many courses as you’d like.

The 45 credits are comprised of 5-9 credits of EE P 500 (colloquium) and 36-40 elective credits. There are no official concentrations and students can choose their courses based on their personal and professional interests and goals.

Coursework

About 25% of our courses are the same as those offered in the daytime graduate program. The remaining 75% were developed specifically for PMP and are often based on industry trends and interests.

The 25-26 schedule is still in the works, but below you can view the list of our current 24-25 schedule as well as our archive of past offerings:

Autumn 2024 

  • The Self-Driving Car: Intro to AI for Mobile Robots (Faulkner)
  • Data Structures and Algorithms for ECE Applications (Slaughter)
  • Deep Learning for Big Visual Data (Hwang)
  • Radar Signals and Systems (Reynolds)
  • Analytical Methods for Electrical Engineering (Bonaci)
  • Digital Systems Design with FPGA (Makhsous)
  • Applied High Performance GPU Computing (Reinhardt) Learn more about the GPU series of courses in this spotlight article!
  • Computer Vision: Deep and Classical Methods (Birchfield)
  • Next Generation Wireless Networks (Yin)
  • Network and Communication Security (Lu)
  • Practical Introduction to Deep Learning Applications and Theory (Kim)
  • Intellectual Property for Engineers- 1 credit EE P 500 seminar (Probst and Gardner)

Winter 2025

  • Large Language Models: From Transformers to ChatGPT (Mohan)
  • Machine Learning for Cyber Security (Poovendran)
  • Embedded and Real Time Systems (Sloss)
  • Software Engineering for Embedded Applications (Makhsous)
  • Wireless Power Transfer (Smith)
  • GPU-Accelerated Interactive Scientific Visualization Techniques (SciVis) (Reinhardt)
  • Dynamics of Controlled Systems (Nagel)
  • Introduction to Quantum Hardware (Parsons)
  • Model-based Representations for Systems Engineering (Kimberly)
  • Applied EM: How the Force of Maxwell’s Equations Drives Circuit Theory and the Rest of Life (Goldstein)
  • Matrix to Machine: GPU Hardware Design on FPGA for AI (Sadasivan)
  • Data Science for Power Systems (Sahabandu)

Spring 2025

  • Data Structures and Algorithms for ECE Applications (Slaughter)
  • CHIPS Revolution: Semiconductor-based Diodes, Transistors, and Memory Devices (Anantram)
  • Mobile Applications for Sensing and Control (Makhsous)
  • Tiny Machine Learning for Ultra Low-Power Edge Computing (TinyML) (Sahabandu)
  • Privacy-preserving Machine Learning (Bonaci)
  • Advanced GPU Computing and Visualization for 3D Learning (Reinhardt)
  • Computer Control of Machines & Processes (Nagel)
  • Embedded Systems Design with ESP32 and Parallel Computing (Makhsous)
  • Computer Architecture RISC V (Hameed)
  • Electromagnetic Compatibility (EMC) (Sharawi)
  • Developing Immersive Experiences for AR/VR (Akers)
  • Graphs in Machine Learning (Bilmes)
  • Machine Learning Interview Prep- 1 credit EE P 500 seminar (Mohan)

Summer 2025

  • Foundations of Quantum Mechanics and Quantum Computing for Engineers (Anantram)
  • Entrepreneurship for Electrical and Computer Engineers: From Idea to Startup (Makhsous)
  • Introduction to Privacy Engineering (Bonaci)
  • Algorithms for ECE Applications (Slaughter)
  • Network Security and Cryptography (Sahabandu)

Course Format

We are on a quarter system, so classes meet for just 10 weeks. The majority of our classes are scheduled weekly from 6-9:50 p.m. with some scheduled twice a week from 4 p.m. -6 p.m.

Internship Credit

Full-time students can receive course credit through ENGR 601 for part-time or full-time internship experiences. Up to 2 credits of ENGR 601 can be utilized towards the degree. PMP students on an F1 visa are eligible for CPT (internship) and OPT (post-graduation work authorization) opportunities. In addition to the 12-month Optional Practical Training (OPT), F1 students are eligible for the 24 month STEM OPT extension, allowing you to gain valuable work experience in the US after graduation!

ENGINE

We encourage PMP students to participate in the department-wide Entrepreneurial Capstone program! ENGINE is a two-quarter sequence (8 credits over Winter and Spring) and will count towards your degree requirements.