Department of Data Science

• [Knowledge] To acquire theories and knowledge on the processes of creating value from data, essential for modern data professionals
• [Virtue] To develop communication skills between society and technology and foster moral responsibility in data utilization processes
• [Expertise] To train data professionals with practical knowledge in data collection, processing, analysis, and utilization, and the ability to create services that meet social demands based on data analysis

Data is a valuable resource, often referred to as the new oil for its potential in value creation. It allows the indirect observation of systems like facilities, businesses, industries, and society. With the advancement of IoT technology, the production of data has made previously impossible tasks achievable, creating vast value. Consequently, there is a growing demand for professionals who can handle the entire value creation process. Data science is closely related to the systems reflected by data, making data professionals both technicians and sociologists who understand the industries in which data is produced and applied, and can communicate insights derived from data analysis. The Department of Data Science offers a curriculum designed to provide education in data science theories and techniques and develop quick domain understanding and communication skills. The curriculum covers the four stages of the data analysis process: data collection and processing, data exploration, data modeling, and advanced analysis. Large-scale projects span the entire four years, with capstone projects at each grade level to apply learned theories in practice. Industry-academic projects for fourth-year students offer opportunities to solve real problems faced by companies based on the projects conducted over three years.