Mathematics, Data Science, and AI Education Program (Applied Basics)

Updated 2024/03/18

Program outline

This program is for undergraduate students who aim to solve problems using mathematics, data science, and AI and to develop practical skills. The program consists of two basic elements: "I. Data Representation and Algorithms" and "II. AI and Data Science Fundamentals and Practice."
First, in "I. Data Representation and Algorithms," students will learn the concepts and knowledge of "algorithms," "data representation," and "programming basics" as a means to realize AI, in addition to "basic mathematics (statistics, linear algebra, calculus)," which is knowledge related to various data processing methods, including statistics, in data science. To acquire these skills, students must take all the related courses designated by each department.
Next, in "II. AI and Data Science Fundamentals and Practice," students will learn the basics of AI, from the history of AI to a wide range of technology types and application fields, and the entire process from construction to operation when actually using AI in research and business. In addition, students will learn "Data Science Fundamentals," "Machine Learning Fundamentals and Outlook," and "Deep Learning Fundamentals and Outlook." These will be covered in a new course (Introduction to Information and Data Science) established in 2022.

Students who have mastered all of these learning items will be certified as having completed the Mathematics, Data Science, and AI Education Program.

Skills that can be acquired

Students will learn about the role of data science in society, examples of how big data and AI are being used, and the challenges facing society in accepting AI. They will also acquire the basic knowledge needed to utilize mathematics, data science, and AI.
In addition, by learning and practicing applied cases that utilize basic knowledge, students will develop basic abilities and practical skills that include the ability to explore issues and solve problems.
Through these programs, students will acquire a broad perspective on how to apply mathematics, data science, and AI to their own fields of expertise, so that they can respond to the ongoing rapid changes in society, and they will study with an awareness of social implementation.

Eligibility to take the program

All undergraduate students

(* The target years for each subject in the program vary.)

Program Completion Requirements and Component Subjects

◆ Those who enrolled before the 2023 academic year

Please check here 

◆ For those who enrolled in or after 2024

Please check hereNEW

For those other than the above

• A program completion certificate will be issued to those who meet the program completion requirements. Eligible students should come to the academic affairs office in their campus during the period specified by the university. Details on how to receive the certificate will be sent to eligible students via email.

• Program implementation structure

  Committees, etc.	role
  Education and Campus Life Committee	Program Improvement and Evolution
  Education and Campus Life Committee	Self-Assessment of the program

• Self-Assessment results
  　FY2023 Self-Assessment Report
  　

(Contact information)

Educational Affairs Section, Educational Affairs Office gakkyom[a]m2.jskrtf.com

*Notes when sending emails
?Please change [a] to @ in the above address before sending.
?Please use the subject line of your email as "Inquiry: Regarding the Mathematics, DS, and AI Education Program."
?In principle, please contact us using the student email address issued by your university.