2025 (Current Year) Special graduate degree programs Specially Offered Degree Programs for Graduate Students Center of Data Science and Artificial Intelligence
Advanced Data Science and Artificial Intelligence 4
- Academic unit or major
- Center of Data Science and Artificial Intelligence
- Instructor(s)
- Kenji Suzuki / Tagui Ichikawa / Asako Kanezaki / Keiji Okumura / Katsumi Nitta / Jun Sakuma / Isao Ono / Yoshihiro Miyake
- Class Format
- Lecture/Exercise
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - 5-6 Wed
- Class
- -
- Course Code
- DSA.A504
- Number of credits
- 0.50.50
- Course offered
- 2025
- Offered quarter
- 1Q
- Syllabus updated
- Mar 19, 2025
- 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. He is also a specially-appointed professor at Hitotsubashi University.
・Prof. Kenji Suzuki specializes in AI ethics, information law, and artificial intelligence at Sony Group Inc. He is also a visiting professor at Nagoya University.
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】
・Guidance will be given in the first class, and students are required to attend the guidance.
・Students who wish to take the course are required to send an e-mail to Prof. Ichikawa （ichikawa.t.ba79@m.isct.ac.jp）and Prof. Suzuki （suzuki.k.5af1@m.isct.ac.jp）before each class, in principle, with a few lines of Japanese, explaining (1) your self-introduction, (2) your reasons for taking the course, and (3) your areas of business interests.
・The number of students is limited to 30 because of the group work. If the number exceeds the limit, selection will be made based on the contents of the above e-mail.
・In addition to the general overview of data science and AI business, lectures on the Internet, venture business, DX, etc. will be the main focus (about 1 hour per session).
・Group work (PBL) will be conducted in each session (about 30 minutes per session).
・Each group presents and discusses their business plan at the interim presentation and final presentation.
・Face-to-face classes (Oookayama Campus) only.
・Guidance will be given in the first class, and students are required to attend the guidance.
・The maximum number of participants is 30. If the number exceeded the limit, a lottery would be held.
・This class will be conducted in Japanese only.
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 Group Work (3) Interim presentation | Customer analysis and corporate growth strategy direction |
| Class 4 | Global Startup Ecosystem and Japanese Policy Trends Group Work (4) | Funding and collaboration structure and direction of international strategy |
| Class 5 | Digital Transformation (DX) 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 at T2SCHOLA.
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.A503 ： Advanced Data Science and Artificial Intelligence 3
- DSA.A603 ： Progressive Advanced Data Science and Artificial Intelligence 3
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.k.5af1[at]m.isct.ac.jp
Office hours
Wednesday
Other
・This class is a technical course that can be considered an "Entrepreneurship Course"(GA1M).