Program Overview

Introduction to the Center for Mathematical Modeling and Data Science

The Center for Mathematical Modeling and Data Science at The University of Osaka is dedicated to advancing the fields of mathematical modeling and data science. The center's mission is to foster innovative research and education in these areas, with a focus on practical applications and interdisciplinary collaboration.

About MMDS

The MMDS (Center for Mathematical Modeling and Data Science) is committed to providing a comprehensive education in mathematical modeling and data science. The center's philosophy is centered around the idea of fostering a deep understanding of mathematical and data-driven approaches to problem-solving.

MMDS Features

• Education: The center offers a range of educational programs, including a 2-unit and 3-division system, designed to provide students with a thorough grounding in mathematical modeling and data science.
• Research: MMDS is actively engaged in research activities, with a focus on advancing the state-of-the-art in mathematical modeling and data science.
• Faculty and Organization: The center has a diverse faculty with expertise in various areas of mathematical modeling and data science. The organization is structured to facilitate collaboration and innovation.

Departments and Programs

The center is organized into several departments, each with its own unique focus and educational programs.

Financial and Insurance Department (DFI)

• Education Program: The DFI department offers a comprehensive education program in financial and insurance mathematics.
• Course Overview: The program covers a range of topics, including financial modeling, risk management, and insurance mathematics.
• Graduation Requirements: Students are required to complete a set of core courses and electives, as well as a final project or thesis.
• Career Paths: Graduates of the program can pursue careers in finance, insurance, and related fields.
• Curriculum: The curriculum is designed to provide students with a deep understanding of financial and insurance mathematics, as well as practical skills in programming and data analysis.

Modeling Department (DMM)

• Education Program: The DMM department offers a comprehensive education program in mathematical modeling.
• Course Overview: The program covers a range of topics, including mathematical modeling, numerical analysis, and scientific computing.
• Graduation Requirements: Students are required to complete a set of core courses and electives, as well as a final project or thesis.
• Career Paths: Graduates of the program can pursue careers in research and development, consulting, and related fields.
• Curriculum: The curriculum is designed to provide students with a deep understanding of mathematical modeling, as well as practical skills in programming and data analysis.

Data Science Department (DDS)

• Education Program: The DDS department offers a comprehensive education program in data science.
• Course Overview: The program covers a range of topics, including data analysis, machine learning, and data visualization.
• Graduation Requirements: Students are required to complete a set of core courses and electives, as well as a final project or thesis.
• Career Paths: Graduates of the program can pursue careers in data science, analytics, and related fields.
• Curriculum: The curriculum is designed to provide students with a deep understanding of data science, as well as practical skills in programming and data analysis.

Activities and Achievements

The center is actively engaged in various research and educational activities, including:

• Volatility Index Japan: A research project focused on developing a volatility index for the Japanese market.
• JGB Volatility Index: A research project focused on developing a volatility index for Japanese government bonds.
• MMDS Publications: The center publishes various research papers and books on mathematical modeling and data science.
• Osaka Securities Exchange Research Department: A collaborative research project with the Osaka Securities Exchange.

Data Science Application Course

The center offers a Data Science Application Course, which is designed to provide students with practical skills in data science and machine learning. The course covers a range of topics, including:

• Course Overview: The course provides a comprehensive introduction to data science and machine learning.
• Course Details: The course is offered in a hybrid format, with both online and offline components.
• Target Audience: The course is designed for students and working professionals who want to gain practical skills in data science and machine learning.
• Course Fee: The course fee is 100,000 yen (tax included).
• Course Schedule: The course is scheduled to start in October 2024 and will run for 20 weeks.
• Application Procedure: Applicants can apply for the course by submitting an application form and paying the course fee.

MMDS Pamphlet

The center publishes a pamphlet that provides an overview of its educational programs and research activities. The pamphlet includes information on:

• MMDS: An introduction to the center and its mission.
• Mathematical and Data Science Active Learning Plan: A description of the center's educational programs and research activities.
• DuEX: A description of the center's DuEX program, which provides students with practical skills in data science and machine learning.
• D-DRIVE: A description of the center's D-DRIVE program, which provides students with practical skills in data-driven research and innovation.
• Mathematical and Data Science Expert Human Resource Development Course: A description of the center's expert human resource development course, which provides students with advanced skills in mathematical modeling and data science.
• Advanced AI Human Resource Development Program: A description of the center's advanced AI human resource development program, which provides students with advanced skills in AI and machine learning.