Program Name
Liberal Arts Education Program in Mathematics, Data Science, and AI
What kind of program is it?
This program allows students to learn mathematics, data science, and AI, which are known as the "reading, writing, and arithmetic" of the digital society of the future, from the very basics in one class per semester.
Regardless of whether you are in the humanities or sciences, the content will enable you to acquire literacy (knowledge and ability to apply) in mathematics, data science, and AI.
This program has been certified by the Ministry of Education, Culture, Sports, Science and Technology's "Mathematics, Data Science and AI Education Program Certification System (Literacy Level)."
Certification expiration date: March 31, 2030
Recommended for these people!
- I know nothing about mathematics, data science, or AI, but I feel anxious about having to understand and utilize these things in society in the future.
- I have used certain tools such as AI before, but I have never studied them in detail, their background, their value, or the things you should be careful of.
What you will gain from this program
The goal is for students to acquire the following knowledge and skills by taking the courses offered.
- Understand how mathematics, data science, and AI are contributing to social change and are connected to your own life.
- Understand that mathematics, data science, and AI can be useful tools for solving social issues.
- Understand that value is created by combining mathematics, data science, and AI with knowledge from various application fields.
- Understand various points to note when utilizing mathematics, data science, and AI.
- You will be able to read, explain, and work with data starting from real data.
Students entering in 2024 and new transfer students entering in 2026
"Special Lecture" (2 credits) *
*In 2026, new transfer students entering in 2026 will be able to take the course.
If you earn credits for "special lectures," they will be counted toward your graduation requirements as specialized education subjects for those in Department of Commercial Sciences, and as elective subjects for those in other departments.
Students admitted after 2020
General Education Course "Fundamentals of Data Science" (2 credits)*
*Only applicable to students enrolled in or after 2025. Please register for the above courses.
Teaching methods and implementation structure
| Program Manager | Institute of Education |
|---|---|
| A system for improving and evolving the program | Internal Quality Assurance Promotion Committee Mathematics, Data Science, and AI Education Promotion Subcommittee |
| The name of the rule that defines the system for improving and evolving the program | Agreement on the Internal Quality Assurance Promotion Committee Subcommittee |
| A system for self-examination and evaluation of programs | Internal Quality Assurance Promotion Committee Mathematics, Data Science, and AI Education Promotion Subcommittee |