Tools in mathematical modeling and data science aim at developing types of educational programs that combine various fields and bring

new innovations and creations.

There are many complex systems in the world today that are found in the fields of finance, insurance, the environment, transportation system, and medicine. The associated systems have become highly diversified on a large scale. Mathematical modeling and data science are useful tools for resolving these complex systems. In particular, it is important to provide educational programs that combine mathematical modeling and data science because of recent developments in data analysis techniques. The aim of mathematical modeling is to develop mathematical tools for the resolution of complex phenomena. On the other hand, data science is the scientific methodology for research or technology and service developments that utilizes a large amount of data on a large scale (so-called big data), and it represents a new methodology for the creation of new industry and services in today’s society.

In terms of large scale and diversified data analysis today, mathematical and data scientists are highly desired. In addition, the rapid trend toward the internationalization of Japanese companies is leading to a worldwide shortage of human resources who can adjust to internationalization and who have sufficient knowledge of mathematical modeling and data science (internationalization implies globalization). We should urgently consider constructing systematic educational programs for mathematical and data scientists.

Thus, based on the CSFI at Osaka University, we have organized MMDS, whose aim is to educate the mathematical and data scientists who are adjusting to internationalization. MMDS consists of the following three divisions: (i) the Division of Finance and Insurance (DFI) whose research area is financial economics, which corresponds to the CSFI and represents an example of our effort to study the complex systems in the world today, (ii) the Division of Mathematical Modeling (DMM),whose aim is to resolve these complex systems by constructing their associated mathematical models, and (iii) the Division of Data Science (DDS), which analyzes a large amount of data on a large scale and utilizes the results for the development of research, technology and services.

MMDS will contribute to society by educating mathematical and data scientists who must adjust to the process of internationalization. The purpose of our educational program is as follows:

* To educate graduate students so that they can become leaders of financial actuaries.

* To educate graduate students so that they can communicate with researchers from different disciplines.

* To educate graduate students so that they can create new technologies using mathematical modeling and data science.

In terms of large scale and diversified data analysis today, mathematical and data scientists are highly desired. In addition, the rapid trend toward the internationalization of Japanese companies is leading to a worldwide shortage of human resources who can adjust to internationalization and who have sufficient knowledge of mathematical modeling and data science (internationalization implies globalization). We should urgently consider constructing systematic educational programs for mathematical and data scientists.

Thus, based on the CSFI at Osaka University, we have organized MMDS, whose aim is to educate the mathematical and data scientists who are adjusting to internationalization. MMDS consists of the following three divisions: (i) the Division of Finance and Insurance (DFI) whose research area is financial economics, which corresponds to the CSFI and represents an example of our effort to study the complex systems in the world today, (ii) the Division of Mathematical Modeling (DMM),whose aim is to resolve these complex systems by constructing their associated mathematical models, and (iii) the Division of Data Science (DDS), which analyzes a large amount of data on a large scale and utilizes the results for the development of research, technology and services.

MMDS will contribute to society by educating mathematical and data scientists who must adjust to the process of internationalization. The purpose of our educational program is as follows:

* To educate graduate students so that they can become leaders of financial actuaries.

* To educate graduate students so that they can communicate with researchers from different disciplines.

* To educate graduate students so that they can create new technologies using mathematical modeling and data science.