Under the vision of 'data science-based problem solving', the Department of Industrial Engineering (IE) at UNIST aims to cultivate highly skilled data scientists who can solve the decision-making problems faced by companies, industries, and society through engineering technologies. We research and teach the state-of-the-art methodologies related to optimization, artificial intelligence, data mining, process and systems engineering, and financial engineering to help decision making based on real-world data. Our department fosters the development of convergent talents with theoretical and practical knowledge for the 4th Industrial Revolution era, who will lead the nation's industry and economy with problem solving abilities and leaderships based on the scientific accuracy and the engineering efficiency.
The Department of Industrial Engineering (IE) at UNIST pursues education and research that promote the effectiveness and efficiency of decision-making within the industry based on real-world data. It aims to cultivate the top-notch of data scientists who will address the decision-making challenges that society in various industries, such as finance, healthcare, manufacturing, and logistics, will face by combining scientific methodologies, such as statistical analysis, data mining, machine learning, and deep learning, and engineering techniques, such as collecting, acquiring, and processing vast amounts of real-world data. Our department provides training programs that enable you to grow as a convergent talent with deep knowledge of the advanced data analysis methodologies and real problem-solving skills.