COURSE CURRICULUM

The Master of Science in Electrical and Computer Engineering at Lawrence Technological University offers a comprehensive curriculum designed to prepare students for advanced roles in technology development, system design, and engineering research. The core courses provide a solid foundation in essential areas, including Engineering Analysis, Digital Signal Processing, Digital Communications, and Digital Control Systems, totaling 12 credit hours. These courses equip students with the analytical, computational, and technical skills necessary to understand and manipulate complex electrical and computer systems. In addition to the core, students select six technical electives from a broad list of advanced topics, allowing for specialization in areas such as Power Distribution Systems, Electrical Machines and Transformers, Advanced Microprocessors, Digital Image Processing, Modern Control Systems, Application of Artificial Intelligence, Smart Grid Communications, Optical Systems Engineering, and Digital VLSI Design. Electives also include flexible options like Directed Study, Master’s Project, and Master’s Thesis Research, which provide hands-on, research-driven experience and the opportunity to explore emerging technologies in depth. With advisor approval, students may also incorporate select Master of Science in Computer Science electives, including Java Programming, Software Engineering, Database Systems, Intelligent Systems, Distributed Computing, and advanced topics in these areas, further broadening interdisciplinary knowledge and career versatility. This curriculum balances theoretical understanding with practical application, emphasizing problem-solving, design, and implementation skills that are critical in both industry and research environments. Graduates of the program are prepared to contribute to innovative projects, lead interdisciplinary teams, and tackle complex engineering challenges, positioning themselves for careers in advanced computing, communications, control systems, robotics, and artificial intelligence. The program’s flexible structure and diverse elective offerings allow students to tailor their studies to align with professional goals, emerging industry trends, and personal research interests, ensuring that each graduate leaves equipped to make a meaningful impact in the field of electrical and computer engineering.