Mathematics, Data Science, and AI Education Program (Applied Basics)
Updated 2025/04/23
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.
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 (Applied Basics)."
(Certification period: until March 31, 2018)
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.)