The Data Science track in the Department of Industrial Engineering focuses on combining data-driven decision-making with domain knowledge, AI, and optimization methods to support corporate decision-making and contribute to the creation of sustainable future value. This track encompasses advanced research areas such as statistical machine learning, time-series analysis, computer vision, natural language processing, and graph-based learning, aiming to maximize efficiency and predictive capabilities. Through the department’s unique systems-integrated approach, students optimize data-driven decision-making and develop predictive models across various industries, including manufacturing, logistics, services, energy, and healthcare, equipping them with the skills needed to lead innovation across the industrial landscape.