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.<\/p>\n
![\"\"](\"https:\/\/ada.ece.uw.edu\/wp-content\/uploads\/sites\/16\/2021\/02\/schedule.png\")
<\/p>\n
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.<\/p>\n
<\/a>Coursework<\/h2>\nThe 26-27 schedule is still in the works, but below you can view the list of our current 25-26 schedule\u00a0as well as our archive of past offerings:<\/a><\/span><\/p>\n\nAutumn 2025<\/strong><\/h3>\n\n- The Self-Driving Car: Intro to AI for Mobile Robots<\/li>\n
- Data Structures and Algorithms for ECE Applications<\/li>\n
- Machine Learning Operations (MLOps)<\/li>\n
- Linear Systems Theory<\/li>\n
- Analytical Methods for Electrical Engineering<\/li>\n
- Digital Systems Design with FPGA<\/li>\n
- Computer Vision: Deep and Classical Methods<\/li>\n
- Computer Systems Security<\/li>\n
- Practical Introduction to Deep Learning Applications and Theory<\/li>\n
- Computer Speech Processing<\/li>\n
- Radar Remote Sensing<\/li>\n
- Machine Learning Interview Masterclass- 1 credit EE P 500 seminar<\/li>\n
- Intellectual Property for Engineers- 2 credit EE P 500 seminar<\/li>\n<\/ul>\n
Winter 2026<\/h3>\n\n- Large Language Models: From Transformers to ChatGPT<\/li>\n
- Machine Learning for Cyber Security<\/li>\n
- Embedded and Real Time Systems<\/li>\n
- Software Engineering for Embedded Applications<\/li>\n
- Introduction to Statistical Learning<\/li>\n
- Wireless Power Transfer<\/li>\n
- Electric Machines<\/li>\n
- Introduction to Quantum Algorithms and Software<\/li>\n
- Fundamentals of Robot Manipulation<\/li>\n
- Applied EM: How the Force of Maxwell\u2019s Equations Drives Circuit Theory and the Rest of Life<\/li>\n
- Data Science for Power Systems\u00a0<\/span><\/li>\n
- The Technological Frontier: Innovation in the Modern Tech Ecosystem<\/li>\n
- AI Infrastructure: from Devices to Systems- 1 credit EE P 500 seminar<\/li>\n
- Robotics Practicum \u2013 1 or 2 credit EE P 500 seminar<\/li>\n<\/ul>\n
Spring 2026<\/h3>\n\n- EE P 530: Building Blocks of Semiconductor Technology: Diodes, Transistors, and Memory Devices<\/li>\n
- EE P 523: Mobile Applications for Sensing and Control<\/li>\n
- EE P 564: Tiny Machine Learning for Ultra Low-Power Edge Computing (TinyML)<\/li>\n
- EE P 509: Privacy-preserving Machine Learning<\/li>\n
- EE 546: Electric Drives<\/li>\n
- EE P 536: Designing and Building Smart Internet of Things Devices<\/li>\n
- EE P 533: Analog Circuits for Sensor Systems<\/li>\n
- EE P 592: Electromagnetic Compatibility (EMC)<\/li>\n
- EE P 590: Developing Immersive Experiences for AR\/VR<\/li>\n
- EE 514: Information Theory<\/li>\n
- EE 506: Fundamentals of Wireless Communication<\/li>\n
- EE P 598: Introduction to Digital Audio<\/li>\n
- EE P 566: Deep Learning for Embedded Real Time Intelligence<\/li>\n
- EE P 598: Mastering The Systems Modeling Language (SysML) V1: for Model
\nBased Systems Engineering (MBSE) and the OMG Certified Systems
\nModeling Professional (OCSMP) Certificates<\/li>\n - EE P 500: Machine Learning Interview Masterclass- 1 credit<\/li>\n
- EE P 500: Intro to Human Robot Interaction- 2 credit<\/li>\n<\/ul>\n
Summer 2026 (TENTATIVE)<\/h3>\n\n- EE P 521: Foundations of Quantum Mechanics and Quantum Computing for Engineers<\/li>\n
- EE P 581: Entrepreneurship for Electrical and Computer Engineers: From Idea to Startup<\/li>\n
- EE P 507: Introduction to Privacy Engineering<\/li>\n
- EE P 563: Network Security and Cryptography<\/li>\n<\/ul>\n
Course Format<\/span><\/h3>\n<\/div>\nWe are on a quarter system<\/a>, 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.<\/p>\nInternship Credit<\/h2>\n
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<\/a> for information on Curricular Practical Training (CPT).<\/p>\nResearch Credit<\/h2>\n
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.<\/p>\n
Check out this profile of one PMP’s students experience with research!<\/p>\n
Autumn 2025<\/strong><\/h3>\n\n- The Self-Driving Car: Intro to AI for Mobile Robots<\/li>\n
- Data Structures and Algorithms for ECE Applications<\/li>\n
- Machine Learning Operations (MLOps)<\/li>\n
- Linear Systems Theory<\/li>\n
- Analytical Methods for Electrical Engineering<\/li>\n
- Digital Systems Design with FPGA<\/li>\n
- Computer Vision: Deep and Classical Methods<\/li>\n
- Computer Systems Security<\/li>\n
- Practical Introduction to Deep Learning Applications and Theory<\/li>\n
- Computer Speech Processing<\/li>\n
- Radar Remote Sensing<\/li>\n
- Machine Learning Interview Masterclass- 1 credit EE P 500 seminar<\/li>\n
- Intellectual Property for Engineers- 2 credit EE P 500 seminar<\/li>\n<\/ul>\n
Winter 2026<\/h3>\n\n- Large Language Models: From Transformers to ChatGPT<\/li>\n
- Machine Learning for Cyber Security<\/li>\n
- Embedded and Real Time Systems<\/li>\n
- Software Engineering for Embedded Applications<\/li>\n
- Introduction to Statistical Learning<\/li>\n
- Wireless Power Transfer<\/li>\n
- Electric Machines<\/li>\n
- Introduction to Quantum Algorithms and Software<\/li>\n
- Fundamentals of Robot Manipulation<\/li>\n
- Applied EM: How the Force of Maxwell\u2019s Equations Drives Circuit Theory and the Rest of Life<\/li>\n
- Data Science for Power Systems\u00a0<\/span><\/li>\n
- The Technological Frontier: Innovation in the Modern Tech Ecosystem<\/li>\n
- AI Infrastructure: from Devices to Systems- 1 credit EE P 500 seminar<\/li>\n
- Robotics Practicum \u2013 1 or 2 credit EE P 500 seminar<\/li>\n<\/ul>\n
Spring 2026<\/h3>\n\n- EE P 530: Building Blocks of Semiconductor Technology: Diodes, Transistors, and Memory Devices<\/li>\n
- EE P 523: Mobile Applications for Sensing and Control<\/li>\n
- EE P 564: Tiny Machine Learning for Ultra Low-Power Edge Computing (TinyML)<\/li>\n
- EE P 509: Privacy-preserving Machine Learning<\/li>\n
- EE 546: Electric Drives<\/li>\n
- EE P 536: Designing and Building Smart Internet of Things Devices<\/li>\n
- EE P 533: Analog Circuits for Sensor Systems<\/li>\n
- EE P 592: Electromagnetic Compatibility (EMC)<\/li>\n
- EE P 590: Developing Immersive Experiences for AR\/VR<\/li>\n
- EE 514: Information Theory<\/li>\n
- EE 506: Fundamentals of Wireless Communication<\/li>\n
- EE P 598: Introduction to Digital Audio<\/li>\n
- EE P 566: Deep Learning for Embedded Real Time Intelligence<\/li>\n
- EE P 598: Mastering The Systems Modeling Language (SysML) V1: for Model
\nBased Systems Engineering (MBSE) and the OMG Certified Systems
\nModeling Professional (OCSMP) Certificates<\/li>\n - EE P 500: Machine Learning Interview Masterclass- 1 credit<\/li>\n
- EE P 500: Intro to Human Robot Interaction- 2 credit<\/li>\n<\/ul>\n
Summer 2026 (TENTATIVE)<\/h3>\n\n- EE P 521: Foundations of Quantum Mechanics and Quantum Computing for Engineers<\/li>\n
- EE P 581: Entrepreneurship for Electrical and Computer Engineers: From Idea to Startup<\/li>\n
- EE P 507: Introduction to Privacy Engineering<\/li>\n
- EE P 563: Network Security and Cryptography<\/li>\n<\/ul>\n
Course Format<\/span><\/h3>\n<\/div>\nWe are on a quarter system<\/a>, 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.<\/p>\nInternship Credit<\/h2>\n
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<\/a> for information on Curricular Practical Training (CPT).<\/p>\nResearch Credit<\/h2>\n
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.<\/p>\n
Check out this profile of one PMP’s students experience with research!<\/p>\n
Winter 2026<\/h3>\n\n- Large Language Models: From Transformers to ChatGPT<\/li>\n
- Machine Learning for Cyber Security<\/li>\n
- Embedded and Real Time Systems<\/li>\n
- Software Engineering for Embedded Applications<\/li>\n
- Introduction to Statistical Learning<\/li>\n
- Wireless Power Transfer<\/li>\n
- Electric Machines<\/li>\n
- Introduction to Quantum Algorithms and Software<\/li>\n
- Fundamentals of Robot Manipulation<\/li>\n
- Applied EM: How the Force of Maxwell\u2019s Equations Drives Circuit Theory and the Rest of Life<\/li>\n
- Data Science for Power Systems\u00a0<\/span><\/li>\n
- The Technological Frontier: Innovation in the Modern Tech Ecosystem<\/li>\n
- AI Infrastructure: from Devices to Systems- 1 credit EE P 500 seminar<\/li>\n
- Robotics Practicum \u2013 1 or 2 credit EE P 500 seminar<\/li>\n<\/ul>\n
Spring 2026<\/h3>\n\n- EE P 530: Building Blocks of Semiconductor Technology: Diodes, Transistors, and Memory Devices<\/li>\n
- EE P 523: Mobile Applications for Sensing and Control<\/li>\n
- EE P 564: Tiny Machine Learning for Ultra Low-Power Edge Computing (TinyML)<\/li>\n
- EE P 509: Privacy-preserving Machine Learning<\/li>\n
- EE 546: Electric Drives<\/li>\n
- EE P 536: Designing and Building Smart Internet of Things Devices<\/li>\n
- EE P 533: Analog Circuits for Sensor Systems<\/li>\n
- EE P 592: Electromagnetic Compatibility (EMC)<\/li>\n
- EE P 590: Developing Immersive Experiences for AR\/VR<\/li>\n
- EE 514: Information Theory<\/li>\n
- EE 506: Fundamentals of Wireless Communication<\/li>\n
- EE P 598: Introduction to Digital Audio<\/li>\n
- EE P 566: Deep Learning for Embedded Real Time Intelligence<\/li>\n
- EE P 598: Mastering The Systems Modeling Language (SysML) V1: for Model
\nBased Systems Engineering (MBSE) and the OMG Certified Systems
\nModeling Professional (OCSMP) Certificates<\/li>\n - EE P 500: Machine Learning Interview Masterclass- 1 credit<\/li>\n
- EE P 500: Intro to Human Robot Interaction- 2 credit<\/li>\n<\/ul>\n
Summer 2026 (TENTATIVE)<\/h3>\n\n- EE P 521: Foundations of Quantum Mechanics and Quantum Computing for Engineers<\/li>\n
- EE P 581: Entrepreneurship for Electrical and Computer Engineers: From Idea to Startup<\/li>\n
- EE P 507: Introduction to Privacy Engineering<\/li>\n
- EE P 563: Network Security and Cryptography<\/li>\n<\/ul>\n
Course Format<\/span><\/h3>\n<\/div>\nWe are on a quarter system<\/a>, 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.<\/p>\nInternship Credit<\/h2>\n
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<\/a> for information on Curricular Practical Training (CPT).<\/p>\nResearch Credit<\/h2>\n
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.<\/p>\n
Check out this profile of one PMP’s students experience with research!<\/p>\n
Spring 2026<\/h3>\n\n- EE P 530: Building Blocks of Semiconductor Technology: Diodes, Transistors, and Memory Devices<\/li>\n
- EE P 523: Mobile Applications for Sensing and Control<\/li>\n
- EE P 564: Tiny Machine Learning for Ultra Low-Power Edge Computing (TinyML)<\/li>\n
- EE P 509: Privacy-preserving Machine Learning<\/li>\n
- EE 546: Electric Drives<\/li>\n
- EE P 536: Designing and Building Smart Internet of Things Devices<\/li>\n
- EE P 533: Analog Circuits for Sensor Systems<\/li>\n
- EE P 592: Electromagnetic Compatibility (EMC)<\/li>\n
- EE P 590: Developing Immersive Experiences for AR\/VR<\/li>\n
- EE 514: Information Theory<\/li>\n
- EE 506: Fundamentals of Wireless Communication<\/li>\n
- EE P 598: Introduction to Digital Audio<\/li>\n
- EE P 566: Deep Learning for Embedded Real Time Intelligence<\/li>\n
- EE P 598: Mastering The Systems Modeling Language (SysML) V1: for Model
\nBased Systems Engineering (MBSE) and the OMG Certified Systems
\nModeling Professional (OCSMP) Certificates<\/li>\n - EE P 500: Machine Learning Interview Masterclass- 1 credit<\/li>\n
- EE P 500: Intro to Human Robot Interaction- 2 credit<\/li>\n<\/ul>\n
Summer 2026 (TENTATIVE)<\/h3>\n\n- EE P 521: Foundations of Quantum Mechanics and Quantum Computing for Engineers<\/li>\n
- EE P 581: Entrepreneurship for Electrical and Computer Engineers: From Idea to Startup<\/li>\n
- EE P 507: Introduction to Privacy Engineering<\/li>\n
- EE P 563: Network Security and Cryptography<\/li>\n<\/ul>\n
Course Format<\/span><\/h3>\n<\/div>\nWe are on a quarter system<\/a>, 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.<\/p>\nInternship Credit<\/h2>\n
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<\/a> for information on Curricular Practical Training (CPT).<\/p>\nResearch Credit<\/h2>\n
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.<\/p>\n
Check out this profile of one PMP’s students experience with research!<\/p>\n
\nBased Systems Engineering (MBSE) and the OMG Certified Systems
\nModeling Professional (OCSMP) Certificates<\/li>\n
Summer 2026 (TENTATIVE)<\/h3>\n\n- EE P 521: Foundations of Quantum Mechanics and Quantum Computing for Engineers<\/li>\n
- EE P 581: Entrepreneurship for Electrical and Computer Engineers: From Idea to Startup<\/li>\n
- EE P 507: Introduction to Privacy Engineering<\/li>\n
- EE P 563: Network Security and Cryptography<\/li>\n<\/ul>\n
Course Format<\/span><\/h3>\n<\/div>\nWe are on a quarter system<\/a>, 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.<\/p>\nInternship Credit<\/h2>\n
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<\/a> for information on Curricular Practical Training (CPT).<\/p>\nResearch Credit<\/h2>\n
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.<\/p>\n
Check out this profile of one PMP’s students experience with research!<\/p>\n
Course Format<\/span><\/h3>\n<\/div>\nWe are on a quarter system<\/a>, 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.<\/p>\nInternship Credit<\/h2>\n
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<\/a> for information on Curricular Practical Training (CPT).<\/p>\nResearch Credit<\/h2>\n
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.<\/p>\n
Check out this profile of one PMP’s students experience with research!<\/p>\n
Internship Credit<\/h2>\n
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<\/a> for information on Curricular Practical Training (CPT).<\/p>\n 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.<\/p>\n Check out this profile of one PMP’s students experience with research!<\/p>\nResearch Credit<\/h2>\n