MENU 
The Master of Engineering (MEng) degree in Electrical and Computer Engineering is designed to serve students pursuing a terminal, professional Master’s degree. The degree is offered with a concentration area in either Data Science and Machine Learning (DS/ML), Autonomous systems (AS), or Microelectronics and Integrated Circuits (MI).
The MEng degree, which is distinct from the Master of Science (MS) program and from the M.S. degree in data science [1], is specially designed for students who plan to enter industry after graduation and who have already decided their specialty. The program is highly structured, emphasizes rigorous theory, practical training, engineering projects, industrial skills, communications, project management, leadership, and entrepreneurial training. The curriculum is aligned with emerging application areas of high workforce demand.
The ECE Master of Engineering (MEng) program is currently offered in three concentrations:
- Autonomous Systems
- Data Science and Machine Learning
- Microelectronics and Integrated Circuits
The concentration in Autonomous Systems focuses on the design and engineering aspects of autonomous systems and operations. Students will gain knowledge in sensors, sensing, signal processing, and control, and apply that knowledge to the broad family of autonomous systems that includes robots, autonomous driving, and any engineering system that can be made to operate independently.
The ECE MEng concentration in Data Science and Machine Learning aims to train electrical, computer, and systems engineers so that they are equipped with the theory and practice of data science and machine learning to work on modern engineering systems for sensing, control, inference, planning and decision making. The curriculum emphasizes rigorous theory, hands-on practice and developing skills for computational reasoning about large-scale complex engineered systems.
The concentration in Microelectronics and Integrated Circuits prepares our students for a career in the semiconductor industry. Students will gain knowledge in integrated circuit design (digital, analog, microwave), semiconductor manufacturing, device physics and design principles (electronic, optoelectronic, sensing, organic, quantum), and microelectromechanical systems. The curriculum emphasizes rigorous foundational knowledge, state-of-the-art applications, hands-on projects, teamwork, communication, and entrepreneurship skills. [FLYER]
Program Overview
The Master of Engineering (MEng) degree requires successful completion of 26 credits of coursework. Students should be able to complete the MEng degree in one calendar year, and possibly two semesters (Fall followed by Winter semester).
The Master of Engineering program requirements can be found here.
Students admitted to the MEng program may decide to apply to the Master of Science or doctoral programs, after completing one semester of study, to gain admissions the following year. Students who do apply for the MS can count up to 12 credits of technical courses (including lab/design) toward the MS or PhD degree, to the ECE MS/PhD program requirement and Rackham’s residency/candidacy policies. MEng students applying to the MS or PhD would need to complete a full application and are not guaranteed admissions to the MS or PhD program.
[1] Note: the ECE MEng concentration in Data Science and Machine Learning is also distinct from the M.S. degree in data science, joint between CSE, SI, Stats and Biostatistics, which aims to train well-rounded data scientists who have the skills to work with a variety of problems involving large-scale data common in the modern world. The focus of the curriculum is computational tools and statistical analysis as well as hands-on experience.