MMDS consists of two units and three divisions. Each of these provides university-level education in mathematical and data science, coupled with fundamental research.

1. Units (Advancing Liberal Arts Education)

MMDS units offer active learning plans to undergraduate students. A number of staff are engaged in educational research and practice related to advanced liberal arts education in mathematics and data science.

(1) Mathematical Science Unit

Mathematical modeling—the branch of mathematical science that uses mathematics to describe essential properties of complex phenomena—is an advanced tool utilized in real world problem-solving.

These days, besides improvements in computer performance, diffusion of Artificial Intelligence (AI), developments in measurement technology, and the introduction of data science, mathematical science continues to be a fundamental means of analyzing, predicting, and controlling natural and societal phenomena. This unit systematizes mathematical modeling and numerical simulations for use in medicine, biology, engineering, and economics. The unit provides class work and course work encompassing basic practical programing, which enables students acquire the knowledge and skills required for mathematical science.

(2) Data Science Unit

Data science is based on advanced mathematical theory development and the interpretation of enormous information sources. It is a prerequisite to many fields of academia and industry. Big data, in the real world, provides a trace of the complicated intertwining of events. Data science is an important academic discipline that clarifies the structures and mechanisms hidden behind data and reuses data to formulate and solve new problems. Class work and course work in this unit are structured into basic statistics theory, optimization, simulation and algorithms, and practical programing to equip students with the knowledge and skills required for the practice of data science.

2. Divisions (Minor Programs)

Faculty members from the Graduate School of Engineering Science, the Graduate School of Economics, the Graduate School of Science, and the Graduate School of Information Science and Technology collaborate to organize graduate-level sub-programs based on integrated basic research. Three divisions have been established, which operate both Graduate Minor Programs and the Graduate Program for Advanced Interdisciplinary Studies. As a whole, Osaka University provides multidisciplinary educational programs in mathematical science and data science.

(1) Division of Finance and Insurance (DFI)

DFI provides economics and science education that focuses on mathematical finance, financial engineering, and actuarial mathematics, training specialists in finance and insurance—two fields that have become increasingly complex and interrelated internationally. The Graduate Minor Programs in finance and insurance and in educational research in finance or insurance mathematics and mathematical finance provide students with a comprehensive understanding of these complex fields.

(2) Division of Mathematical Modeling (DMM)

The DMM program aims to improve skills using mathematical modeling to describe and solve problems within complex systems and to develop human resources to formulate and solve various problems in natural science, engineering, and medical science on the basis of existing phenomena and principles. Starting this academic year, DMM will undertake a Mathematical Modeling module as part of the Graduate Program for Advanced Interdisciplinary Studies, the focus of which will be advanced mathematical modeling and system modeling.

(3) Division of Data Science (DDS)

The DDS program aims to equip students with the skills to acquire and use big data, to cope with uncertainty, and to develop an evidence-based scientific methodology. Students are expected to acquire the advanced statistical, programing, large-scale simulation, and visualization skills essential for data analysis. “Data Science,” part of the Graduate Program for Advanced Interdisciplinary Studies, has also been implemented to provide education and training in advanced data science combined with computer and mathematical science.

Each of the three divisions has established educational programs that aim to train the next generation of specialists in these fields.

MMDS units offer active learning plans to undergraduate students. A number of staff are engaged in educational research and practice related to advanced liberal arts education in mathematics and data science.

Mathematical modeling—the branch of mathematical science that uses mathematics to describe essential properties of complex phenomena—is an advanced tool utilized in real world problem-solving.

These days, besides improvements in computer performance, diffusion of Artificial Intelligence (AI), developments in measurement technology, and the introduction of data science, mathematical science continues to be a fundamental means of analyzing, predicting, and controlling natural and societal phenomena. This unit systematizes mathematical modeling and numerical simulations for use in medicine, biology, engineering, and economics. The unit provides class work and course work encompassing basic practical programing, which enables students acquire the knowledge and skills required for mathematical science.

Data science is based on advanced mathematical theory development and the interpretation of enormous information sources. It is a prerequisite to many fields of academia and industry. Big data, in the real world, provides a trace of the complicated intertwining of events. Data science is an important academic discipline that clarifies the structures and mechanisms hidden behind data and reuses data to formulate and solve new problems. Class work and course work in this unit are structured into basic statistics theory, optimization, simulation and algorithms, and practical programing to equip students with the knowledge and skills required for the practice of data science.

2. Divisions (Minor Programs)

Faculty members from the Graduate School of Engineering Science, the Graduate School of Economics, the Graduate School of Science, and the Graduate School of Information Science and Technology collaborate to organize graduate-level sub-programs based on integrated basic research. Three divisions have been established, which operate both Graduate Minor Programs and the Graduate Program for Advanced Interdisciplinary Studies. As a whole, Osaka University provides multidisciplinary educational programs in mathematical science and data science.

DFI provides economics and science education that focuses on mathematical finance, financial engineering, and actuarial mathematics, training specialists in finance and insurance—two fields that have become increasingly complex and interrelated internationally. The Graduate Minor Programs in finance and insurance and in educational research in finance or insurance mathematics and mathematical finance provide students with a comprehensive understanding of these complex fields.

The DMM program aims to improve skills using mathematical modeling to describe and solve problems within complex systems and to develop human resources to formulate and solve various problems in natural science, engineering, and medical science on the basis of existing phenomena and principles. Starting this academic year, DMM will undertake a Mathematical Modeling module as part of the Graduate Program for Advanced Interdisciplinary Studies, the focus of which will be advanced mathematical modeling and system modeling.

The DDS program aims to equip students with the skills to acquire and use big data, to cope with uncertainty, and to develop an evidence-based scientific methodology. Students are expected to acquire the advanced statistical, programing, large-scale simulation, and visualization skills essential for data analysis. “Data Science,” part of the Graduate Program for Advanced Interdisciplinary Studies, has also been implemented to provide education and training in advanced data science combined with computer and mathematical science.