For New PMP Admits

Curriculum and Registration

 

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

The 26-27 schedule is still in the works, but below you can view the list of our current 25-26 schedule as well as our archive of past offerings:

Autumn 2025

  • The Self-Driving Car: Intro to AI for Mobile Robots
  • Data Structures and Algorithms for ECE Applications
  • Machine Learning Operations (MLOps)
  • Linear Systems Theory
  • Analytical Methods for Electrical Engineering
  • Digital Systems Design with FPGA
  • Computer Vision: Deep and Classical Methods
  • Computer Systems Security
  • Practical Introduction to Deep Learning Applications and Theory
  • Computer Speech Processing
  • Radar Remote Sensing
  • Machine Learning Interview Masterclass- 1 credit EE P 500 seminar
  • Intellectual Property for Engineers- 2 credit EE P 500 seminar

Winter 2026

  • Large Language Models: From Transformers to ChatGPT
  • Machine Learning for Cyber Security
  • Embedded and Real Time Systems
  • Software Engineering for Embedded Applications
  • Introduction to Statistical Learning
  • Wireless Power Transfer
  • Electric Machines
  • Introduction to Quantum Algorithms and Software
  • Fundamentals of Robot Manipulation
  • Applied EM: How the Force of Maxwell’s Equations Drives Circuit Theory and the Rest of Life
  • Data Science for Power Systems 
  • The Technological Frontier: Innovation in the Modern Tech Ecosystem
  • AI Infrastructure: from Devices to Systems- 1 credit EE P 500 seminar
  • Robotics Practicum – 1 or 2 credit EE P 500 seminar

Spring 2026

  • EE P 530: Building Blocks of Semiconductor Technology: Diodes, Transistors, and Memory Devices
  • EE P 523: Mobile Applications for Sensing and Control
  • EE P 564: Tiny Machine Learning for Ultra Low-Power Edge Computing (TinyML)
  • EE P 509: Privacy-preserving Machine Learning
  • EE 546: Electric Drives
  • EE P 536: Designing and Building Smart Internet of Things Devices
  • EE P 533: Analog Circuits for Sensor Systems
  • EE P 592: Electromagnetic Compatibility (EMC)
  • EE P 590: Developing Immersive Experiences for AR/VR
  • EE 514: Information Theory
  • EE 506: Fundamentals of Wireless Communication
  • EE P 598: Introduction to Digital Audio
  • EE P 566: Deep Learning for Embedded Real Time Intelligence
  • EE P 598: Mastering The Systems Modeling Language (SysML) V1: for Model
    Based Systems Engineering (MBSE) and the OMG Certified Systems
    Modeling Professional (OCSMP) Certificates
  • EE P 500: Machine Learning Interview Masterclass- 1 credit
  • EE P 500: Intro to Human Robot Interaction- 2 credit

Summer 2026 (TENTATIVE)

  • EE P 521: Foundations of Quantum Mechanics and Quantum Computing for Engineers
  • EE P 581: Entrepreneurship for Electrical and Computer Engineers: From Idea to Startup
  • EE P 507: Introduction to Privacy Engineering
  • EE P 563: Network Security and Cryptography

Course Format

We are on a quarter system, so classes meet for just 10 weeks. Most of our classes are scheduled weekly from 6-9:50 p.m. with a few offered 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. International students, please review the International Students page for information on Curricular Practical Training (CPT).

Research Credit

The PMP is a coursework-only degree and students do not complete a thesis. However, our students are able to join research labs and receive research credit through EE P 599 (independent study). We allow up to 8 credits of EE P 599 to count towards the MSEE degree.

Check out this profile of one PMP’s students experience with research!

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.

Registration for Fall 2026

Registration for Fall quarter will open in June. Stay tuned for more information!

FAQs

Can I take courses in other fields or courses in the daytime program?

Yes, we do allow three classes (12 credits) from outside PMP. This can be from our daytime master’s program or from a related field outside of the ECE department.

Can I complete research? What about a thesis?

The PMP is a coursework-only degree and students do not complete a thesis. Our students are able to join research labs and receive research credit through EE P 599 (independent study). We allow up to 8 credits of EE P 599 to count towards the MSEE degree.