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Faculty & Graduate school


Outline of the Department / Features of the Curriculum

Department of Data Science

The curriculum of the School of Data Science includes basic subjects for collecting, analyzing, and utilizing data, as well as practice subjects that match the progress of the year to help students acquire practical skills in data utilization and the ability to solve various social issues around the world. We provide three study models: IT, business, and medicine. Students looking to engage in the information field as advanced information engineers should choose the IT field. The business field is for those interested in economic data and that want to engage in management or business administrative. For students striving for medical or health and welfare fields, we recommend the medical field study model.
In the first and second years, students learn the basic theories of statistics, mathematics, information engineering, and economics necessary to utilize data. In the third year, students acquire more advanced theory and information processing and analysis technology, and learn the application of data science in the three fields of IT, business, and medicine as practical fields of data science. During the second and third years, problem-solving learning (PBL exercises) is conducted. Based on selected courses, students gradually acquire practical data utilization skills, problem identification, and problem-solving skills through active learning. We aim to foster the ability for students to identify specific issues on their own and obtain new knowledge that will lead to solutions from data.
By linking this learning to the graduation research of fourth-year students, we train students to become a data scientist in a digital society by acquiring practical skills, knowledge, and wisdom related to data utilization.