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M.S. in Electrical Engineering

Advance Your Career with Concentrations in our Master of Science in Electrical Engineering Program

Join the University of St. Thomas for a Master of Science in Electrical Engineering designed for today’s industry demands. Our hands-on, STEM-approved, career-focused program blends theory and practical application to equip you with the in-depth technical skills needed to thrive in a rapidly evolving field.

Flexible courses and night classes built for working professionals.

Whether you’re looking to advance your career or pivot to a new focus, our program offers the flexibility to study part-time or full-time. With evening classes designed for busy professionals, you can balance your education with your career. The M.S. in Electrical Engineering is a 10 course (30 credit) program.

Choose your path with specialized STEM-approved concentrations to advance your career.

Our Master of Science in Electrical Engineering allows you to specialize in areas that align with your career goals. Select from the following concentrations:

  • Power Systems: Our program is developed with input from industry leaders to ensure you acquire the skills employers need.
  • Electrification and Sustainability: Dive into sustainable technologies and practices shaping the future of energy.
  • Embedded and Intelligent Systems: Gain expertise in the design and development of smart systems and IoT devices.
  • Circuits, Signals and Systems: Master the foundational principles that drive modern electronic devices and communication systems.

Why Choose St. Thomas?

  • Industry-Relevant Curriculum: Our program is developed with input from industry leaders to ensure you acquire the skills employers need.
  • Immediate Impact: Graduate with the ability to make meaningful contributions to the technical landscape.
  • Networking Opportunities: Connect with professionals and alumni to navigate your career path.
  • STEM-approved: All our graduate programs are STEM-approved.

Contact

Cheol-Hong Min

Program Director, M.S. in Electrical Engineering
Cheol-Hong Min headshot
Email
cmin@stthomas.edu
Phone Number
651-962-5866

Concentrations, Coursework and Degree Requirements

To complete the requirements for the Master of Science in Electrical Engineering, students must successfully complete 10 courses (30 graduate semester credits) and maintain a GPA of at least 2.7. Students without an undergraduate degree in electrical engineering, computer engineering or a related field may need additional courses beyond the 30 credits needed for this master's degree.

See course descriptions in the Graduate Programs in Engineering (ETLS) course catalog.

See course descriptions in the Graduate Programs in Software (SEIS) course catalog.

STEM Approved Program

The Power Systems concentration emphasizes the study and control of power systems, Microgrids, distribution, renewable energy, electrical machines and power electronics. Power electronics enables the economic viability of renewable energy systems via its ability to transform electrical energy in one form to another with near 100% efficiency. Microgrids improve the reliability and resiliency of the power grid.

CORE COURSES:

Choose six or more courses from the list below (6 courses = 18 graduate credits):

  • ETLS 744 Power Systems and Smart Grids
  • ETLS 746 Power Electronics
  • ETLS 747 Electrical Machines and Vehicles
  • ETLS 748 Renewable Energy Generation
  • ETLS 753 Power System Protection and Relay
  • ETLS 756 Discrete Control of Power Electronics
  • ETLS 757 Microgrids
  • ETLS 810 Advanced Controls

TECHNICAL ELECTIVES:

Choose up to four technical electives from course list below (4 courses = 12 credits):

  • ETLS 745 Power Systems Operations and Controls
  • ETLS 754 Electrification
  • ETLS 758 Grid Modernization
  • ETLS 739 EV Market and Technologies
  • ETLS 611 Introduction to Sustainability
  • ETLS 612 Sustainability Verification
  • ETLS 620 Communication Systems
  • ETLS 630 Sensors for the Internet of Things (IoT) and Autonomy
  • ETLS 631 Wireless Sensor Networks
  • ETLS 675 Digital Signal Processing
  • ETLS 676 Real-Time DSP
  • ETLS 678 Applications of AI in Engineering
  • ETLS 679 Embedded & Cyber-Physical Systems
  • ETLS 681 AI, Robotics & Autonomous Systems
  • ETLS 683 Electronic Design of Implantable Medical Devices
  • ETLS 684 PCB Engineering and Design
  • ETLS 699 Selected Topics
  • SEIS 663 Introduction to Cybersecurity
  • SEIS 763 Machine Learning
  • SEIS 764 Artificial Intelligence
  • ETLS 881/882 Engineering Project Credits (2 consecutive semesters of 6 credits total)

* Other ETLS/SEIS elective courses approved by Program Director.

COURSE SEQUENCES

Please note suggested course sequences assume a fall semester start. Please talk with your advisor if you have questions or starting in other semesters. This illustrates just one example of how all 10 courses could be taken within a two-year plan.

  • YEAR 1 - Fall semester: ETLS 744/ ETLS 748
  • YEAR 1 - Spring semester: ETLS 746/ ETLS 747
  • YEAR 1 - Summer term: ETLS 630 (Elective)
  • YEAR 2 - Fall semester: ETLS 753/ ETLS 756
  • YEAR 2 - Spring semester: ETLS 757/ ETLS 810
  • YEAR 2 - Summer term: ETLS 684 (Elective)

 

The Electrification and Sustainability concentration will prepare students to meet the challenges of the 21st-century electric grid and develop sustainable practices. Power engineers will lead the way in decarbonizing the electric grid, promoting sustainable energy generation, and electrifying transportation and the whole industry.

CORE COURSES:

Choose six or more courses from the list below (6 courses = 18 graduate credits):

  • ETLS 744 Power Systems and Smart Grids
  • ETLS 611 Introduction to Sustainability
  • ETLS 739 EV Market and Technologies
  • ETLS 754 Electrification
  • ETLS 758 Grid Modernization
  • ETLS 746 Power Electronics
  • ETLS 747 Electrical Machines and Vehicles
  • ETLS 748 Renewable Energy Generation

TECHNICAL ELECTIVES:

Choose up to four technical electives from course list below (4 courses = 12 credits):

  • ETLS 612 Sustainability Verification
  • ETLS 745 Power Systems Operations and Controls
  • ETLS 753 Power Systems Protection and Relay
  • ETLS 756 Discrete Control of Power Electronics
  • ETLS 757 Microgrids
  • ETLS 810 Advanced Controls
  • ETLS 620 Communication Systems
  • ETLS 630 Sensors for the Internet of Things (IoT) and Autonomy
  • ETLS 631 Wireless Sensor Networks
  • ETLS 675 Digital Signal Processing
  • ETLS 676 Real-Time DSP
  • ETLS 678 Applications of AI in Engineering
  • ETLS 679 Embedded & Cyber-Physical Systems
  • ETLS 681 AI, Robotics & Autonomous Systems
  • ETLS 683 Electronic Design of Implantable Medical Devices
  • ETLS 684 PCB Engineering and Design
  • ETLS 699 Selected Topics
  • SEIS 663 Introduction to Cybersecurity
  • SEIS 763 Machine Learning
  • SEIS 764 Artificial Intelligence
  • ETLS 881/882 Engineering Project Credits (2 consecutive semesters of 6 credits total)

* Other ETLS/SEIS electives approved by Program Director.

COURSE SEQUENCES

Please note suggested course sequences assume a fall semester start. Please talk with your advisor if you have questions or starting in other semesters. This illustrates just one example of how all 10 courses could be taken within a two-year plan.

  • YEAR 1 - Fall semester: ETLS 739/ ETLS 744
  • YEAR 1 - Spring semester: ETLS 746/ ETLS 747
  • YEAR 1 - Summer term: ETLS 630 or ETLS 631 (Elective)
  • YEAR 2 - Fall semester: ETLS 754 or ETLS 748 or ETLS 611/ ETLS Elective
  • YEAR 2 - Spring semester: ETLS 758 or ETLS 611 or ETLS 612/ ETLS Elective
  • YEAR 2 - Summer term: ETLS 684 (Elective)

 

The Embedded and Intelligent Systems concentration enables students to become proficient with microcomputers, sensors, interconnections, and their composite systems used to design and control devices. Embedded systems find their applications in automation, manufacturing, intelligent robotics, autonomous systems, medical devices, and more. When combined with artificial intelligence, it enables the embedded systems to be smart and make intelligent decisions targeted in Industry 5.0.

CORE COURSES:

Choose six or more courses from the list below (6 courses = 18 graduate credits):

  • ETLS 630 Sensors for the Internet of Things (IoT) and Autonomy
  • ETLS 631 Wireless Sensor Networks
  • ETLS 676 Real-Time DSP
  • ETLS 678 Applications of AI in Engineering
  • ETLS 679 Embedded & Cyber-Physical Systems
  • ETLS 681 AI, Robotics & Autonomous Systems
  • SEIS 663 Introduction to Cybersecurity
  • SEIS 763 Machine Learning

TECHNICAL ELECTIVES:

Choose up to four technical electives from course list below (4 courses = 12 credits):

  • ETLS 620 Communication Systems
  • ETLS 675 Digital Signal Processing
  • ETLS 683 Electronic Design of Implantable Medical Devices
  • ETLS 684 PCB Engineering and Design
  • ETLS 810 Advanced Controls
  • ETLS 611 Introduction to Sustainability
  • ETLS 612 Sustainability Verification
  • ETLS 739 EV Market and Technologies
  • ETLS 744 Power Systems and Smart Grids
  • ETLS 745 Power Systems Operations and Controls
  • ETLS 746 Power Electronics
  • ETLS 747 Electrical Machines and Vehicles
  • ETLS 748 Renewable Energy Generation
  • ETLS 753 Power Systems Protection and Relay
  • ETLS 754 Electrification
  • ETLS 758 Grid Modernization
  • ETLS 756 Discrete Control of Power Electronics
  • ETLS 757 Microgrids
  • ETLS 699 Selected Topics
  • SEIS 764 Artificial Intelligence
  • ETLS 881/882 Engineering Project Credits (2 consecutive semesters of 6 credits total)

* Other ETLS/SEIS electives approved by Program Director.

COURSE SEQUENCES

Please note suggested course sequences assume a fall semester start. Please talk with your advisor if you have questions or starting in other semesters. This illustrates just one example of how all 10 courses could be taken within a two-year plan.

  • YEAR 1 - Fall semester: ETLS 678/ ETLS 679
  • YEAR 1 - Spring semester: ETLS 676/ ETLS 631
  • YEAR 1 - Summer term: ETLS 630
  • YEAR 2 - Fall semester: ETLS 681 or SEIS 663/ ETLS Elective
  • YEAR 2 - Spring semester: SEIS 763/ ETLS Elective
  • YEAR 2 - Summer term: ETLS 630

The Circuits, Signals and Systems concentration focuses on the study of sensing, printed circuit board design, biomedical circuit design, communication, and processing of information. Applications can be found in all areas around us such as biomedical engineering, implantable medical devices, wearables, IoT, automation, robotics, mobile health care, and autonomous vehicles. Application of Artificial Intelligence to information processing, and communication of such information over a variety of communication networks such as Wi-Fi, Bluetooth, and 5G wireless networks are explored.

CORE COURSES:

Choose six or more courses from the list below (6 courses = 18 graduate credits):

  • ETLS 620 Communication Systems
  • ETLS 630 Sensors for the Internet of Things (IoT) and Autonomy
  • ETLS 631 Wireless Sensor Networks
  • ETLS 675 Digital Signal Processing
  • ETLS 678 Applications of AI in Engineering
  • ETLS 683 Electronic Design of Implantable Medical Devices
  • ETLS 684 PCB Engineering and Design
  • ETLS 810 Advanced Controls

TECHNICAL ELECTIVES:

Choose up to four technical electives from course list below (4 courses = 12 credits):

  • ETLS 676 Real-Time DSP
  • ETLS 679 Embedded & Cyber-Physical Systems
  • ETLS 681 AI, Robotics & Autonomous Systems
  • ETLS 611 Introduction to Sustainability
  • ETLS 612 Sustainability Verification
  • ETLS 739 EV Market and Technologies
  • ETLS 744 Power Systems and Smart Grids
  • ETLS 745 Power Systems Operations and Controls
  • ETLS 746 Power Electronics
  • ETLS 747 Electrical Machines and Vehicles
  • ETLS 748 Renewable Energy Generation
  • ETLS 753 Power Systems Protection and Relay
  • ETLS 754 Electrification
  • ETLS 758 Grid Modernization
  • ETLS 756 Discrete Control of Power Electronics
  • ETLS 757 Microgrids
  • ETLS 699 Selected Topics
  • SEIS 663 Introduction to Cybersecurity
  • SEIS 763 Machine Learning
  • SEIS 764 Artificial Intelligence
  • ETLS 881/882 Engineering Project Credits (2 consecutive semesters of 6 credits total)

* Other ETLS/SEIS courses approved by Program Director.

COURSE SEQUENCES

Please note suggested course sequences assume a fall semester start. Please talk with your advisor if you have questions or starting in other semesters. This illustrates just one example of how all 10 courses could be taken within a two-year plan.

  • YEAR 1 - Fall semester: ETLS 620 (or 675)/ ETLS 678
  • YEAR 1 - Spring semester: ETLS 675 (or 620)/ ETLS 810
  • YEAR 1 - Summer term: ETLS 630 (or 684)
  • YEAR 2 - Fall semester: ETLS 679 / ETLS 683 (Elective)
  • YEAR 2 - Spring semester: ETLS 631/ ETLS Elective
  • YEAR 2 - Summer term: ETLS 684 (or 630)

Flexible Graduate Programs To Help You Meet Your Educational Goals

Our evening class schedules allow both industry professionals and career changers to achieve their educational goals. And each class meets just once per week.

Convenient Schedule

Our programs serve working professionals with busy lives. You choose how quickly you move through the curriculum. And you may start in any of our three starts: fall, spring or summer.

View Our Course Schedule
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Build real-world microgrid solutions

Gain practical experience working on cutting-edge microgrid technologies at our Center for Microgrid Research, developing solutions that directly impact sustainable energy systems and the future of power grids.

Learn about the Center for Microgrid Research
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Learn from Expert Faculty

Dr. Greg Mowry

Dr. Greg Mowry

Prior to joining the School of Engineering in 2003, Dr. Mowry had a successful 25-year career as a product development engineer and corporate research scientist for fortune-500 companies and startups. His research focuses on the use of photonics, magnetics, and power electronics/systems for humanitarian applications.

Dr. Greg Mowry
Dr. Heather Orser

Dr. Heather Orser

Dr. Heather Orser has a background in electrical engineering product development and design with an emphasis on analog integrated circuits. Prior to joining St. Thomas, Dr. Orser worked at IBM, Medtronic, and most recently at Inspire Medical systems developing next generation sleep apnea treatments.

Dr. Heather Orser
Dr. Bob Mahmoodi

Dr. Bob Mahmoodi

Dr. Bob Mahmoodi has a wealth of experience in electronic systems. Prior to joining the School of Engineering in 2012, he spent 30 years in R&D in the design and integration of wireless RFID and biometric sensor implementation and design at 3M, and three years at Honeywell working on airborne radar system sensors and electronics.

Dr. Bob Mahmoodi

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