COURSE CURRICULUM

The Electrical Engineering graduate program at the University of New Brunswick offers a wide-ranging curriculum that reflects the department's research strengths and its commitment to industry-relevant education. Students can pursue project-based learning through the MEng Project or explore specialized topics under faculty supervision. The program includes advanced coursework across several key areas such as power and energy systems, smart grid technologies, biomedical engineering, signal processing, control systems, digital systems, and computer architecture. Courses like Advanced Digital Systems, VLSI Circuit Design, and Real-Time Microcomputers focus on embedded and hardware systems, while courses such as Signal Processing Architecture and Adaptive Filtering delve into signal processing and analysis. Students interested in control and automation may take courses like Modern Control Theory, Digital Control Systems, and Advanced Robotics, which include both theoretical and hands-on learning components. In power engineering, students are exposed to topics such as Power System Optimization, Smart Grid Technologies and Operation, HVDC Systems, Load Flow Analysis, and Power Electronics. The program also emphasizes contemporary and emerging areas, offering courses in Wireless Power Transfer, Photonic Devices, Data Analytics for Smart Grids, and Renewable Energy Systems. Biomedical Engineering is supported through specialized offerings such as Advanced Biomedical Instrumentation, Biological Signal Processing, and Topics in Biomedical Engineering, many of which are affiliated with the Institute of Biomedical Engineering. The curriculum is designed to balance theoretical foundations with practical application through lab work, simulations, and design projects. Many courses use industry-standard tools such as MATLAB, VHDL, and Altera design suites, providing students with relevant technical experience. Overall, the program prepares graduates for careers in academia, research institutions, power utilities, IT companies, and startups, by equipping them with the knowledge and skills to address real-world engineering challenges across multiple domains.