Abstract

Educating engineers who bridge motor-systems theory with real-world deployment remains challenging. This paper presents a Samsung Electronics–GIST framework producing industry-ready specialists in intelligent motor systems. The program integrates classical control, signal processing, mechanical design, and AI within a project-based master’s curriculum: foundational bootcamps, specialized coursework (field-oriented control, topology optimization, reinforcement learning, parameter estimation), and industry-mentored capstone projects on manufacturing challenges. Three cohorts produced 14 projects spanning sensorless control, AI-based fault detection, multi-domain optimization, and robot manipulation. Assessment shows significant learning gains—particularly in reinforcement learning—with graduates securing motor and mechatronics roles. The model shows how integrating academic rigor, AI, and authentic industrial context addresses the mechatronics workforce gap while advancing control-education pedagogy.