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Home About Traditions &＃038; History Careers at YCU Academics Undergraduate Study School of International Liberal Arts School of Economics and Business Administration School of Science School of Data Science School of Medicine School of Medicine: Medical Course School of Medicine: Nursing Course Graduate Study Graduate School of Urban Social and Cultural Studies Graduate School of International Management Graduate School of Nanobioscience Graduate School of Nanobioscience: Department of Materials System Science Graduate School of Nanobioscience: Department of Life and Environmental System Science Graduate School of Data Science Graduate School of Data Science: Department of Data Science Graduate School of Data Science: Department of Health Data Science Graduate School of Medical Life Science Graduate School of Medicine Graduate School of Medicine: Department of Medicine Graduate School of Medicine: Department of Nursing Non-Degree Programs Exchange Program International Clinical Clerkship Research-Only Career Development Support Admissions Research Advanced Medical Research Center Kihara Institute for Biological Research Life at YCU Kanazawa-Hakkei Campus Life Fukuura Campus Life Living in Yokohama Clubs &＃038; Societies Health &＃038; Wellness Global International Affairs Office Exchange Program Partner Institutions Global Cooperation Institute for Sustainable Cities (GCI) 日本語 School of Data ScienceHome Academics Undergraduate Study School of Data Science The School of Data Science fosters human resources who can create new social values from such enormous data. Students will learn the fundamental knowledge of mathematics, statistics and information technology which are necessary to process and understand data, communication skills which are indispensable in society, the idea of creating innovation, and business abilities that are applicable in the next generation.OVERVIEWSTRUCTUREFEESCAREERS Degree awarded Bachelor of Data Science Duration 4 Years Medium of instruction Mainly in Japanese Courses in English Not available Language requirements JLPT N2 or higher Admissions test(s) Yes Admissions statistics To be announced Recommended for those who: want to pursue a career in the field of artificial intelligence (AI) as an engineer wish to discover social issues, and their corresponding solutions by analyzing big data value the power of communication, and wish to help contribute to society aspire to become practical and innovative business-people, who practice data driven decision making Course Structure Curriculum Based on a study of relevant topics in mathematics, statistics, and computer science, including machine learning, data mining, data visualization and data management, we provide a fundamental understanding of the methods of data science. The curriculum also provides actual experience in front-line problems in a variety of application fields depending on each student’s interest such as business sciences, medicinal sciences and so on. Merging arts and sciences In addition to data science specific subjects such as statistics and computer science, our curriculum offers a wide variety of subjects in applied fields such as politics, economics, finance, public affairs, life science and others offered as subjects by the university. Our students have the freedom to choose subjects that appeal to them academically, and can help build their future careers. Emphasis on real-life situations We conduct PBL (Project Based Learning) in classrooms and also in companies, as well as some other institutions, which can provide good opportunities to have a wealth of exercises to cultivate communication skills and problem discovery/solving abilities.This page is under construction.This page is under construction.  Message from the DeanAlong with the dramatic progress of information technology, various kinds of data are accumulating everywhere in society. It is required to find value from such data and to make rational and reasonable decisions based on the analysis of data. Because it is a changing society, we need a solid foundation that does not change in any case, and, of course, we need the ability to respond to change with flexible thinking that proceeds to create change for a new era. Life in the School of Data Science is a new opportunity that will be responsible for the next generation. Why don't you take the first step, and together let's make history!Professor Jinfang WangDean, School of Data Science  School of Data Science Faculty List Find out more about the School of Data Science's highly esteemed academic staff, and their research interests from the link below. SCHOOL OF DATA SCIENCE FACULTY LIST   Search ✕ Related linksAcademics Undergraduate Study School of International Liberal Arts School of Economics and Business Administration School of Science School of Data Science School of Medicine Graduate Study Graduate School of Urban Social and Cultural Studies Graduate School of International Management Graduate School of Nanobioscience Graduate School of Data Science Graduate School of Medical Life Science Graduate School of Medicine Admissions Planning Your Courses Career Development Support 22-2 Seto, Kanazawa-ku, Yokohama, Kanagawa 236-0027 Japan Undergraduate Schools International Liberal Arts Economics and Business Administration Science Data Science Medicine Graduate Schools Urban Social and Cultural Studies International Management Nanobioscience Medical Life Science Medicine  Data Science Admissions Undergraduate Graduate Non-Degree Programs Research Advanced Medical Research Center Kihara Institute for Biological Research Research Database Hospitals Yokohama City University Hospital Yokohama City University Medical Center Life at YCU Campus Life Living in Yokohama Clubs & Societies Health & Wellness Global International Affairs Office Global Cooperation Institute for Sustainable Cities Exchange Programs Partner Institutions NewsActivity of MEXT Scholarship Alumni After Returning to Their Home Country2024-04-25Simplifying the Estimation of Volatile Organic Compounds Emitted From Wildfires2023-10-26Event Report: The 14th IACSC International Symposium/General Assembly2023-10-10 © 2021 Yokohama City University. 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