Mathematics, Data Science, and AI Education Program (Literacy Level)

Even if you're not good at math, it's okay! A program to understand the present and future of the digital society.

Since the 2021 academic year, our university has been implementing a literacy-level mathematics, data science, and AI education program for all undergraduate students titled "A Program to Understand the Present and Future of Digital Society." This program is certified by the Ministry of Education, Culture, Sports, Science and Technology's "Mathematics, Data Science, and AI Education Program Certification System (Literacy Level)."

The Mathematical Science, Data Science, and AI Education Program Accreditation System (Literacy Level) is a system in which the Minister of Education, Culture, Sports, Science and Technology certifies, selects, and encourages regular courses (educational programs) at universities and other institutions that provide systematic education on knowledge and skills related to mathematics, data science, and AI, in order to increase interest in these fields and to cultivate the fundamental abilities to appropriately understand and utilize them.

Skills that can be acquired through this educational program

The rapid advancement of digitalization and the dramatic improvement of information processing technology are driving a digital revolution across all business sectors worldwide. This program will help you understand how AI and data are being used in today's digital society, and will equip you with mathematical and data science literacy, including the ability to correctly interpret and accurately communicate data. In particular, by understanding how AI and data are being used in the business world, and what future applications are expected, you will acquire the fundamental skills to utilize them in real-world business situations.

Furthermore, in order to respond to the rapid development of information technology (social changes) in recent years, including Society 5.0, AI and data science have come to be widely recognized as new fields of study. This knowledge and experience are necessary for success in the information society, which handles vast amounts of data, regardless of whether one's academic background is in the humanities or sciences.

I'd like to introduce two articles that offer different perspectives on the current state and future of AI and data science. Whether you're from a humanities or science background, if you're interested, please take a look.

Completion Requirements

You will be certified as having completed this program if you have earned at least two credits from subjects corresponding to each of the items (1) to (5) in the following table. It is possible to fulfill all items with one subject (e.g., Information and Communication Technology and Society), or to fulfill the completion requirements by combining multiple subjects (e.g., Introduction to Data Science + Business Spreadsheet Practice + Corporate Management and Information).

Review items	Information and communication technology and business/society	Introduction to Computer Business	Business Spreadsheet Exercises	Business information literacy	IT Management Fundamentals II (Technology)	Management Information Systems Theory	Corporate Management and Information	Computer Literacy II	Introduction to Data Science
(1) It is deeply contributing to ongoing social changes (such as the Fourth Industrial Revolution, Society 5.0, and the data-driven society), and is closely linked to one's own life.	○	○	○	○	○	○	○	○	○
(2) "Data utilized in society" and "data utilization Area" are extremely broad and can serve as useful tools to solve everyday life and social issues.	○	○	○	○	○	○	○	○	○
(3) Examples of data utilization in various field scenarios are presented, and mathematical science, data science, and AI create value by combining expertise from various application Area (distribution, manufacturing, finance, services, infrastructure, public sector, healthcare, etc.)	○	○	○	○	○	○	○	○	○
(4) Take into consideration various considerations when using the data (ELSI, personal information, data ethics, AI social principles, etc.) and understand the considerations for protecting data, such as information security and data leakage.	○	○	○	○	○	○	○	○	○
(5) Exercises using real data and problems (including academic data, etc.), and other real-world examples, focusing on the basic application of mathematics, data science, and AI, such as "reading, explaining, and handling data."	○	○	○	○	○	○	○	○	○

Other basic information

Application Form for Accreditation of Mathematical, Data Science, and AI Education Programs (Literacy Level)	Application Form for Accreditation of Mathematical, Data Science, and AI Education Programs (Literacy Level) Change notification documents
Issuance of completion certificate	Upon acquiring the required credits, you will be awarded a "Program Completion Certificate for Understanding the Present and Future of the Digital Society."
Implementation structure	■ Committees and their roles Chairperson for the Promotion of Data Science Education: Head of Operations Data Science Education Promotion Committee: Program Improvement and Evolution Data Science Committee Self-Assessment and Evaluation Subcommittee: Self-Assessment and Evaluation Committee
Expiration date of this educational program	March 31, 2020
Publication of opinions and other information regarding the self-assessment and evaluation system for this educational program.	To ensure the quality of our educational programs, we conduct evaluations from both internal and external perspectives through our self-assessment and evaluation committee, and we publish the results. Opinions on the self-assessment and evaluation system for a program to understand the present and future of the digital society.