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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 Graduate School of Data Science: Department of Data ScienceHome Academics Graduate Study Graduate School of Data Science Graduate School of Data Science: Department of Data Science Imagine a society with an abundance of data science trained human resources who can create new value from the vast amount of data accumulated every day. A society in which data science professionals continuously challenge themselves to develop new solutions to every day social environment problems. The foundation of the Graduate School of Data Science’s Data Science major lies in the necessity to solve the lack of awareness of the importance of knowledge in the field of conventional data analysis. With that, we make it our mission to provide an education centred on Project-based Learning (PBL). Students will learn the three fundamental data science skills of data analytics, data engineering, and social development, and will be challenged to implement their knowledge in solving real world problems. OVERVIEWSTRUCTUREFEES Degree awarded Master of Data Science, Doctor of Data Science Duration 2 Years (MDS) Medium of instruction Japanese Study in English Not available Language requirements JLPT N2 or higher, IELTS/TOEFL-ITP/TOEIC IP Non-degree program Not available Course Structure Master's Program For the purpose to illustrating the structure of the curriculum, most of the following course names have been roughly translated from Japanese. M1 Sem 1 M1 Sem 2 M2 Sem 1 M2 Sem 2 DS research guidance I-II (8 total in 1 or 2 years), Master's thesis (0) PDS I (2) PDS II (2) PDS III (2) - Advanced Statistics (2) Advanced Machine Learning (2) - - Advanced Design Thinking (1) Advanced Data Management (2) - - Applied ethics (1) - - - Statistical science pathway Advanced Lectures on Multivariate Statistical Analysis (2) Optimization Basics and Advanced Lectures (2) Advanced Series of Time Series Data Analysis (2) Advanced Lecture on Urban Environmental Data Analysis (2) - - Experimental Design and Causal Inference (2) Advanced Sample Survey (2) Other research subjects (2) - Computer science pathway Advanced Cloud Computing (2) Advanced Computer Statistics (2) Special Lecture on Big Data Processing Infrastructure (2) Advanced Structured Data (2) - - Advanced Programming (2) Experiment and Simulation (2) Advanced Data Visualization (2) - - - Advanced Natural Language Processing (2) - - Special lecture on data analytics, special lecture on data engineering, special lecture on data sign development (intensive lecture, etc.) (2) Completion requirement: 30 credits Special Research / Exercise: 14 credits PDS (required) 6 credits, seminar / master's thesis (required) 8 credits Common subjects: 16 credits Lectures / Seminar (compulsory) 8 credits, Lectures / Seminar (optional) 8 credits or more Doctoral Program For the purpose to illustrating the structure of the curriculum, most of the following course names have been roughly translated from Japanese. Special Research / Special Exercise Common subjects DS Special Exercise I (2) DS Special Lecture I (2) DS Special Exercise II (2) DS Special Lecture II (2) DS Special Exercise III (2) DS Special Study I (2) DS Special Research Guidance I (2) DS Special Study II (2) DS Special Research Guidance II (2) DS Special Study III (2) DS Special Research Guidance III (2) DS Special Study IV (2) DS Special Research Guidance IV - "DS Special Exercise" is a doctoral dissertation exercise "DS Special Research Guidance" is a special research subject of doctoral dissertation. "DS Special Lecture" is a joint lecture by all faculty members of the Graduate School of DS. "DS Special Study" is a course offered by all faculty members of the Graduate School of DS. Remedial subjects For all subjects other than "PDS I, II, III" and "DS Research Guidance I-IV" (Master course subjects: 0) Completion requirements: 20 credits Special Research / Exercise: 14 credits (Seminar / Doctoral Dissertation (required) 14 credits) Common subjects: 6 credits (lecture / practice (compulsory) 4 credits, lecture / practice (choice) 2 credits or more) First year tuition Admission fee Yokohama residents and graduates of Yokohama City University: 141,000 JPY Non-residents: 282,000 JPY Tuition fee Annual fee: 535,800 JPY Other payments Academic research fee: 2,000 JPY Sponsorship fee: 30,000 JPY  Building on the 3 Foundational Skills of Data ScienceA major feature of this department is that it eliminates the lack of awareness of the importance of knowledge in the field in conventional data analysis, and fosters data science skills through "Practical Data Science Exercises" centered on PBL from the first semester.  Acquiring theoretical knowledge and contributing to the development of society through PBL Extensive guidance system in each specialized area In order to nurture specialized data science skills, we have established a system that allows us to receive generous guidance from full-time faculty members assigned to specialized fields such as science, informatics, health sciences, pedagogy, and agriculture. In addition, the analytics, engineering, and social development skills required for data science research are organically entangled, allowing you to acquire true data science capabilities without closing into individual specialized fields.  Practical exercises in which everyone participates While studying basic theory, students will focus on practical data science exercises. Students will learn to recognize and clarify the problems at the site through reflective thinking and observation, make hypotheses, draft research plans, verify the validity of the hypotheses, and make inferences based on them. Students can acquire data science skills through a series of processes of verifying the usefulness of theory through social implementation.  Exceptional and unique curriculum The curriculum provides a well-balanced way of cultivating the three fundamental skills of data analytics, data engineering, and social development. In particular, the establishment of "Practical Data Science Exercises" rooted in problem-solving learning is a major feature. 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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