As the worldwide need for efficient, resilient manufacturing systems grows rapidly, so does the demand for skilled engineers to develop these systems. The Cornell Systems Engineering M.Eng. program has developed the Semiconductor, Manufacturing, and Industrial (SEMI) Engineering pathway to meet this need.
Students enrolled in the pathway will benefit from Cornell Systems Engineering's proven history of professional education with expert professors teaching specialized courses for the semiconductor industry, as well as leading-edge approaches in operations, controls, planning and optimization.
The SEMI pathway is currently available to both on-campus and distance-learning students in the Systems Engineering M.Eng. program. As with other Systems Engineering pathways, the core courses for the SEMI pathway include Model Based Systems Engineering or Foundation Systems Engineering, Systems Analysis Behavior and Optimization, and Project Management and Leadership for Complex Systems or Principles of Project Leadership. In addition, students complete a 6- to 8-credit M.Eng. project. Students can choose any combination of elective pathway courses as long as they meet the Systems Engineering M.Eng. program overall course credit and curriculum requirements.
What sets the SEMI pathway apart is that it covers the latest approaches in operation, control, planning and optimization, and allows students to tailor their education to concentrate in one of five focus areas: manufacturing, controls, big data and machine learning, manufacturing and semiconductor applications, or semiconductor design.
"This pathway will prepare students for a successful career with Industry 4.0 and 5.0 expertise," said David Schneider, professor of practice in Systems Engineering. "Expanding upon courses one might find in other programs, this pathway also includes courses in cyber-physical systems - embedded systems, IoT and robotics - which have been developed with support from semiconductor and software design company Arm. There are also opportunities to explore the modern incorporation of these topics with data analytics, AI, digital twins, sustainability, and sociotechnical systems."
To learn more about the this and other pathways available through the Systems Engineering program at Cornell, visit the Systems Engineering M.Eng. website.
The Systems Engineering M.Eng. program is accepting applications for the fall 2025 semester until May 31, and for the 2026 spring semester until Dec. 1, 2025.
