COURSE CURRICULUM

The Master of Science degree in Mechatronics Engineering is designed to provide students with advanced interdisciplinary knowledge and skills that integrate mechanical, electrical, and computer engineering principles. The program offers a combination of theoretical and research-oriented coursework, along with practical experiences, to prepare graduates for careers in automation, robotics, intelligent systems, and related fields. The curriculum includes foundational courses such as Engineering Optimization or Systems Engineering, Mechatronics, Graduate Seminar, and Linear System Analysis and Control, which establish the core technical skills required for advanced study and professional practice. Students then select courses in two focus areas from Control Systems, Machine Intelligence, and Robotics and Automation, allowing them to develop specialized expertise in areas such as optimal control theory, machine learning, industrial automation, or autonomous aerial systems. Graduate electives provide additional flexibility to pursue topics of interest across engineering, computer science, and applied mathematics, with courses in human-robot interaction, advanced artificial intelligence, additive manufacturing, machine vision, and quantitative methods. A mathematics elective is also required, with options including applied statistics, numerical linear algebra, partial differential equations, and mathematical optimization to support rigorous analytical and modeling capabilities. The program culminates in either a thesis or non-thesis option, providing opportunities for independent research, practical investigation, or project-based learning under faculty guidance. With a minimum total of 31 credit hours, the program emphasizes both theoretical depth and practical competence, equipping graduates to tackle complex engineering problems, design and implement advanced mechatronic systems, and contribute to cutting-edge developments in robotics, automation, and intelligent machine design. The curriculum’s interdisciplinary and flexible design allows students to tailor their educational experience to their career goals, whether in industry, research and development, or further doctoral studies.