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 24-25 schedule is still in the works, but below you can view the list of our current 23-24 schedule as well as our archive of past offerings:
Autumn 2023
- The Self-Driving Car: Intro to AI for Mobile Robots (Smith)
- Data Structures and Algorithms for ECE Applications (Slaughter)
- Machines and Drives (Nagel)
- Deep Learning for Big Visual Data (Hwang)
- Microwave Engineering (Reynolds)
- Analytical Methods for Electrical Engineering (Bonaci)
- Digital Systems Design with FPGA (Makhsous)
- Optical Sensors and Devices (Li)
- Computer Vision: Deep and Classical Methods (Birchfield)
- Business Leadership for Engineers (Hamilton)
Winter 2024
- Large Language Models: From Transformers to ChatGPT (Mohan)
- Machine Learning for Cyber Security (Poovendran)
- Embedded and Real Time Systems (Sloss)
- Applied EM: How the Force of Maxwell’s Equations Drives Circuit Theory and the Rest of Life (Goldstein)
- Software Engineering for Embedded Applications (Makhsous)
- Analog Circuits for Sensor Systems (Hameed)
- Wireless Power (Smith)
- Electric Vehicle Development and Design (Cheng)
Spring 2024
- CHIPS Revolution: Semiconductor-based Diodes, Transistors, and Memory Devices (Anantram)
- Linear Systems Theory (Bushnell)
- Mobile Applications for Sensing and Control (Makhsous)
- Fundamentals of Wireless Communication (Ritcey)
- TinyML (Sahabandu)
- Signal Processing: Deep and Classical Methods (Atlas)
- Privacy-preserving Machine Learning (Bonaci)
- Antennas (Garman)
- Applied Parallel Programming on GPU (Sadisivan)
Summer 2024
- Introduction to Privacy Engineering (Bonaci)
- Engineering Project Management (Mamishev)
- Quantum Mechanics and Quantum Computing Basics for Engineers (Anantram)
- Entrepreneurship for Electrical and Computer Engineers: From Idea to Startup (Makhsous)
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.