2026 (Current Year) Special graduate degree programs Specially Offered Degree Programs for Graduate Students Center of Data Science and Artificial Intelligence

Progressive Advanced Data Science and Artificial Intelligence 4

Academic unit or major: Center of Data Science and Artificial Intelligence
Instructor(s): Kenji Suzuki / Tagui Ichikawa / Keiji Okumura / Katsumi Nitta / Jun Sakuma / Isao Ono / Yoshihiro Miyake / Takayoshi Yokota / Yutaro Tachibana
Class Format: Lecture/Exercise (Face-to-face)
Media-enhanced courses: -
Day of week/Period (Classrooms): 3-4 Wed (M-B45)
Class: -
Course Code: DSA.A604
Number of credits: 0.50.50
Course offered: 2026
Offered quarter: 3Q
Syllabus updated: Sep 29, 2026
Language: Japanese

Syllabus

Course overview and goals

To develop leaders who can lead innovation by utilizing data science and AI, the objective of this course is for students to acquire the fundamentals of business management by utilizing digital and AI technologies, and to be able to create business plans.

・The objective of this course is to develop leaders who can lead innovation in the application of digital and AI technologies to business, to acquire the fundamentals of business management, and to create business plans.
・To understand that while data and AI technologies are used in a wide range of fields, they share common characteristics in their business.
・To acquire the basics of business management by utilizing DS&AI business as a part of DS&AI university-wide education.
・To understand that data and AI technologies are used in a wide range of fields, and that they have common characteristics in business.

Course description and aims

Students creates their own business proposals not only in lectures but also through group work in PBL, focusing on practical and managerial perspectives on business with digital and AI fields in mind, in particular, the structure and ecosystem of venture businesses and digital transformation (DX) in companies.

Student learning outcomes

実務経験と講義内容との関連 (又は実践的教育内容)

・Prof. Tagui Ichikawa has over 30 years of experience in innovation, digital, and AI policy at the Ministry of Economy, Trade and Industry (METI) and related organizations.
・Prof. Kenji Suzuki specializes in AI ethics, information law, intellectual property law, and artificial intelligence at Sony Group Inc. He is also a visiting professor at Nagoya University and Center for Juris-informatics.

Keywords

Business, Venture, Innovation, Group Work, PBL, Data Science ＆ AI

Competencies

Specialist skills
Intercultural skills
Communication skills
Critical thinking skills
Practical and/or problem-solving skills

Class flow

【Important】
[Important]
・The first class will serve as an orientation; attendance is mandatory for all students taking the course.
・Prospective students must submit the following information via the form below—ideally before the first class—writing a few lines in Japanese for each point: ① self-introduction, ② motivation for taking the course, and ③ business fields of interest.
https://forms.cloud.microsoft/r/bQt01qcwp2
・As the course involves group work, enrollment is limited to approximately 20 students (subject to change). If the number of applicants exceeds this limit, a selection process based on the form submissions may be conducted.
・The course focuses on lectures (approx. 1 hour per session) covering the big picture of data science and AI business, as well as topics such as digital innovation, venture business, and DX (Digital Transformation).
・Group work (Project-Based Learning/PBL) will be conducted during each session (approx. 30 minutes).
・Midterm and final sessions will feature presentations and discussions of group business plan proposals.
・Classes will be held exclusively in person (at the Ookayama Campus).
・This course will be conducted entirely in Japanese.

Course schedule/Objectives

	Course schedule	Objectives
Class 1	Creating innovations using digital and AI Group Work (1)	Clarification of needs and social issues to be addressed by digital and AI technologies
Class 2	Digital and AI Technologies, and Business Models Group Work (2)	Market analysis and design of business models using digital and AI technologies
Class 3	Growth strategies for start-up businesses, and lectures on global and domestic trends Group Work (3)	Customer analysis and corporate growth strategies, fundraising and collaboration systems, and direction of international strategies
Class 4	Global Startup Ecosystem and Japanese Policy Trends Group Work (4)	Challenges and solutions in startup entrepreneurship
Class 5	Digital AI Transformation (DX, AX) in the enterprise Group Work (5)	Recruitment, organizational structure and leadership
Class 6	Risk Management for Data Science and AI Businesses Group Work (6)	Compliance and AI Ethics Assessment in Business.
Class 7	Business plan presentations from students	Presentation and discussion of each group's business plan.

Study advice (preparation and review)

Each group should be given approximately 100 minutes to summarize their work, referring to the relevant sections of the handouts.

Textbook(s)

None.

Reference books, course materials, etc.

Distributed electronically on LMS.

Evaluation methods and criteria

・The grade will be based on Pass or Fail.
・The evaluation is based on active participation in class, contribution to group work, work in each session, midterm presentation, and final presentation.

Related courses

DSA.A603 ： Progressive Advanced Data Science and Artificial Intelligence 3
DSA.S601 ： Progressive AI and Law

Prerequisites

・Interested in business through AI and data science.
・Able to work actively in a group.
・Good communication skills in Japanese.

Contact information (e-mail and phone) Notice : Please replace from ”[at]” to ”@”(half-width character).

Tagui Ichikawa　 ichikawa.t.ba79[at]m.isct.ac.jp
Kenji Suzuki suzuki[at]dsai.isct.ac.jp

Office hours

Wednesday

Other

・This class is a technical course that can be considered an "Entrepreneurship Course (GA1D)".