The Features of MMDS

Through the cooperation of four graduate schools at Osaka University and in collaboration with the business community, MMDS offers interdisciplinary integrated education programs and strives to produce international graduates with the ability to solve problems using advanced mathematical modeling and data science.

 The Center for Mathematical Modeling and Data Science (MMDS) at Osaka University aims to be an educational hub where researchers from different graduate schools within the university collaborate across specialized fields to provide basic mathematical and data science education. Mathematics and data sciences are multidisciplinary research fields, which society currently looks to for the development of future science and technology. MMDS has responded to societal expectations by providing a systematic and comprehensive educational program that produces talented graduates with deep academic foundations and flexible research abilities.
 MMDS has continued the work of its predecessor, the CSFI, by pioneering integrated and fundamental research across the natural sciences, engineering, medicine, human science, social science, and information science. The educational program of MMDS is targeted at undergraduates, postgraduates, and the general public. This innovative program utilizes primary research in the development of teaching materials, presenting real world examples at each academic level and creating practical class content that is directly linked to research and the real world.
 MMDS consists of two units, Mathematical science and Data science, which are responsible for undergraduate education, and three divisions, the Division of Finance and Insurance, the Division of Mathematical Modeling, and the Division of Data Science, which implement graduate school sub-programs. The two units comprise six academic staff members who offer small seminars, intensive lectures, and short-term practical training for seniors in advanced liberal arts subjects. These subjects are positioned as “mathematical and data science active learning plans,” which are part of the mathematical and data science curriculum for all undergraduates, in addition to existing statistics subjects. Currently, MMDS consists of over 60 academic staff and researchers, and operates three Graduate Minor Programs: the Division of Mathematical Modeling (DMM), the Division of Data Science (DDS), and , and the Division of Finance and Insurance (DFI), which allow students to systematically acquire basic mathematical and data science theory, as well as cutting-edge knowledge and technology.
 Students from different specialized fields are targeted in Graduate Minor Programs, where they study methodology and theory, and acquire skills to communicate with other researchers so as to solve a variety of problems by using mathematical modeling and data science.
 MMDS is a representative institution of the Kansai Consortium for Data-related Human Resource Development, which consists of Shiga University, Kyoto University, Osaka University, Kobe University, Wakayama University, and Nara Institute of Science and Technology; it is the center of the Data-related Human Resources Development Project for the Kansai area for doctoral students and professionals.

The Features ofMMDS