Science Tokyo Academic Affairs News (October 2026 issue)

1. [Science and Engineering] Course registration period, timetables
<Undergraduate school>
-Course registration period ; Sep.28(Mon)9:00 - Oct.17(Sat)13:00
Undergraduate Timetables
For details, please read "Course registration" shown on the pp. 3-4 of the following PDF.
Course registration
<Graduate school>
-Course registration period ; Sep.28(Mon)9:00 - Oct.17(Sat)13:00
-The timetables of the graduate school will not be distributed as a booklet.
You can  refer to it on the website.
Graduate Timetables
-For details on graduate course registration, please refer to the PDF.
How to register/add/cancel courses

2. [Science and Engineering] 2026 Fall Semester
-Oct.9(Fri) - 10(Sat): No lecture
-The academic calendar is available on the website.
Academic Calendar

3. [Science and Engineering] Disaster Drill: Wednesday, November 11, 2026 (Starts at 12:25 p.m.)
A campus-wide announcement will be broadcast at 12:25 p.m. to mark the start of the disaster drill.
Students attending classes at that time should secure their safety in accordance with the instructions of their instructor and then proceed to the designated evacuation area.
At the evacuation area, please submit your safety confirmation card in the collection box provided.
This drill is also an opportunity to confirm your evacuation route and methods for contacting others in an emergency.
In addition, an individual training exercise will be conducted near the wooden deck area. We encourage you to participate.

<Selection for Financial Support for Academic Year 2027>
Expanding on the Academy of Energy and Informatics program, the Graduate Major in Energy Science and Informatics launched in April 2024. Accordingly, student admissions to the Academy of Energy and Informatics ended in AY2025. In the fall semester of AY 2026, we will conduct the selection of students for financial support for AY2027 in accordance with the guidelines set forth below.

The graduate major in Energy Science and Informatics will conduct the student selection for financial support in this fall semester. This selection process will be explained during the orientation for new students entering in September 2026, hosted by the Energy Science and Information Course.
-Date and Time: Tuesday, September 29, 2026, 11:00 a.m.-12:00 p.m.
-Venue: Room 203, South 4 Building, Ookayama Campus

Overview
- Selection Period
September 18 (Fri) - October 19 (Mon), 2026, by 5:00 p.m. (strict deadline)

- Eligible Students
Applicants must be graduate students currently enrolled at Institute of Science Tokyo at the time of selection, who will be enrolled as doctoral students in Energy Science and Informatics course as of April 2027.
*However, students currently enrolled in the "the Academy of Energy and Informatics program" are not eligible for selection.

- Selection Method
Document screening and evaluation through "Energy innovation co-creative project"
- Document Screening Criteria
Document screening will be conducted based on the status of credits earned for [the credits indicated under Requirements 1-3 on page 7 of the Study Guide for Academy of Energy and Informatics.]
Please note that the restricted electives in the "InfoSyEnergy Social Design courses" listed under "Completion Requirements 3" are scheduled to be discontinued this academic year.
Therefore, students are strongly encouraged to complete these credits within the current academic year.

For details, please check our web site.

[Contact]
The management office of Academy of Energy and Informatics
Email : management_office@infosyenergy.isct.ac.jp

1. Institute-wide Undergraduate Courses for Science and Engineering Students

Basics and Applications of Data Science and Artificial Intelligence I and II

These courses introduce fundamental theories, methods, and algorithms in data science, data engineering, and AI for students who have completed literacy-level study and wish to pursue more advanced study. Through examples and exercises, students deepen their understanding and develop practical skills.

[DSA.B201] Basics and Applications of Data Science and Artificial Intelligence I
3Q | Wed., Periods 5-6 | Ookayama, South Bldg. 4, 3rd Fl., Rm. 2 | Japanese
[DSA.B202] Basics and Applications of Data Science and Artificial Intelligence II
4Q | Wed., Periods 5-6 | Ookayama, South Bldg. 4, 3rd Fl., Rm. 2 | Japanese

2. Institute-wide Graduate Courses for Science and Engineering Students
Note: 400-level courses are also open to fourth-year undergraduates.

Fundamentals of Data Science

In the current society, it is essential in all fields to appropriately exploit "big data" for finding rules and/or making predictions/decisions. This course gives fundamental knowledge and fundamental skills for handling large-scale data sets with the aid of computers.

[XCO.T487] Fundamentals of Data Science (English)
3Q | Thu., Periods 5-6 | Livestream | English
[XCO.T677] Fundamentals of Progressive Data Science (English)
3Q | Thu., Periods 5-6 | Livestream | English
[XCO.T487] Fundamentals of Data Science (Japanese)
4Q | Tue., Periods 5-6 | Livestream | Japanese
[XCO.T677] Fundamentals of Progressive Data Science (Japanese)
4Q | Tue., Periods 5-6 | Livestream | Japanese

Exercises in Fundamentals of Data Science

In the current society, it is essential in all fields to appropriately exploit "big data" for finding rules and/or making predictions/decisions. This course aims to help students to manipulate computer software tools for data analysis to get new findings.

[XCO.T488] Exercises in Fundamentals of Data Science (English)
3Q | Thu., Periods 7-8 | Ookayama S6-219/S6-211/S6-109; Yokohama J2-203 | English
[XCO.T678] Exercises in Fundamentals of Progressive Data Science (English)
3Q | Thu., Periods 7-8 | Ookayama S6-219/S6-211/S6-109; Yokohama J2-203 | English
[XCO.T488] Exercises in Fundamentals of Data Science (Japanese)
4Q | Tue., Periods 7-8 | Livestream | Japanese
[XCO.T678] Exercises in Fundamentals of Progressive Data Science (Japanese)
4Q | Tue., Periods 7-8 | Livestream | Japanese

Fundamentals of Artificial Intelligence

Artificial Intelligence is a research area that aims at artificially creating intelligence like humans. In recent years, artificial intelligence was successfully applied to various domains with the advances on machine learning and deep learning utilizing big data and computation power. This lecture expects students to acquire knowledge that is essential for creating applications of artificial intelligence, explaining fundamental concepts and theories of artificial intelligence.

[XCO.T489] Fundamentals of Artificial Intelligence (English)
3Q | Mon., Periods 5-6 | Livestream | English
[XCO.T679] Fundamentals of Progressive Artificial Intelligence (English)
3Q | Mon., Periods 5-6 | Livestream | English
[XCO.T489] Fundamentals of Artificial Intelligence (Japanese)
4Q | Fri., Periods 5-6 | Livestream | Japanese
[XCO.T679] Fundamentals of Progressive Artificial Intelligence (Japanese)
4Q | Fri., Periods 5-6 | Livestream | Japanese

Exercises in Fundamentals of Artificial Intelligence

Artificial Intelligence is a research area that aims at artificially creating intelligence like humans. In recent years, artificial intelligence was successfully applied to various domains with the advances on machine learning and deep learning utilizing big data and computation power. This lecture expects students to acquire skills that is essential for creating applications of artificial intelligence, implementing fundamental concepts and theories as a computer program.

[XCO.T490] Exercises in Fundamentals of Artificial Intelligence (English)
3Q | Mon., Periods 7-8 | Ookayama S6-219/S6-211/S6-109; Yokohama J2-203 | English
[XCO.T680] Exercises in Fundamentals of Progressive Artificial Intelligence (English)
3Q | Mon., Periods 7-8 | Ookayama S6-219/S6-211/S6-109; Yokohama J2-203 | English
[XCO.T490] Exercises in Fundamentals of Artificial Intelligence (Japanese)
4Q | Fri., Periods 7-8 | Livestream | Japanese
[XCO.T680] Exercises in Fundamentals of Progressive Artificial Intelligence (Japanese)
4Q | Fri., Periods 7-8 | Livestream | Japanese

Applied Practical Data Science and Artificial Intelligence 3 A-C

These courses examine the current state, applications, and challenges of data science and AI through case studies presented by guest lecturers from various industries. Students gain a broad perspective on the real-world application of these technologies.

[DSA.P431] Applied Practical Data Science and Artificial Intelligence 3A
3Q | Tue., Periods 7-8 | Ookayama M-374; Yokohama G2-202 | Japanese
[DSA.P432] Applied Practical Data Science and Artificial Intelligence 3B
3Q | Wed., Periods 7-8 | Livestream | English
[DSA.P433] Applied Practical Data Science and Artificial Intelligence 3C
3Q | Fri., Periods 7-8 | Ookayama M-B07; Yokohama G2-202 | Japanese
[DSA.P631] Progressive Applied Practical Data Science and Artificial Intelligence 3A
3Q | Tue., Periods 7-8 | Ookayama M-374; Yokohama G2-202 | Japanese
[DSA.P632] Progressive Applied Practical Data Science and Artificial Intelligence 3B
3Q | Wed., Periods 7-8 | Livestream | English
[DSA.P633] Progressive Applied Practical Data Science and Artificial Intelligence 3C
3Q | Fri., Periods 7-8 | Ookayama M-B07; Yokohama G2-202 | Japanese

Advanced Data Science and Artificial Intelligence 1 - Expansion of AI

These courses cover representative deep-learning methods and their applications, including advanced topics not covered in the Fundamentals of Artificial Intelligence courses.

[DSA.A501] Advanced Data Science and Artificial Intelligence 1 - Expansion of AI
4Q | Wed., Periods 5-6 | Livestream | English
[DSA.A601] Progressive Advanced Data Science and Artificial Intelligence 1 - Expansion of AI
4Q | Wed., Periods 5-6 | Livestream | English

Advanced Data Science and Artificial Intelligence 2 - Expansion of Data Science

These courses cover methods for analyzing and using data with computers, including advanced topics not covered in the Fundamentals of Data Science courses.

[DSA.A502] Advanced Data Science and Artificial Intelligence 2 - Expansion of Data Science
4Q | Wed., Periods 7-8 | Livestream | English
[DSA.A602] Progressive Advanced Data Science and Artificial Intelligence 2 - Expansion of Data Science
4Q | Wed., Periods 7-8 | Livestream | English

Advanced Data Science and Artificial Intelligence 3 - AI and Society

These courses cover AI ethics, information law, and technologies for responsible AI, while fostering a broad perspective beyond the traditional boundaries of the humanities and sciences.

[DSA.A503] Advanced Data Science and Artificial Intelligence 3 - AI and Society
4Q | Wed., Periods 9-10 | Livestream | English
[DSA.A603] Progressive Advanced Data Science and Artificial Intelligence 3 - AI and Society
4Q | Wed., Periods 9-10 | Livestream | English

Advanced Data Science and Artificial Intelligence 4 - AI and Business

These courses cover the fundamentals of applying digital and AI technologies to business and management and developing business plans, with the aim of fostering leaders who can drive innovation through data science and AI.

[DSA.A504] Advanced Data Science and Artificial Intelligence 4 - AI and Business
3Q | Wed., Periods 3-4 | Ookayama M-B45 | Japanese
[DSA.A604] Progressive Advanced Data Science and Artificial Intelligence 4 - AI and Business
3Q | Wed., Periods 3-4 | Ookayama M-B45 | Japanese

Contact
Center for Data Science and Artificial Intelligence Education
Email: office-se@dsai.isct.ac.jp

1. [Graduate Students in the Science and Engineering Fields] 2026 Fall Entrepreneurship Course Orientation Videos Now Available!

Graduate students in the science and engineering fields who enrolled at Science Tokyo in AY 2024 or later are required to earn credits in entrepreneurship courses to fulfill the requirements for their master's or doctoral degree.

The videos explain the goals of Science Tokyo's entrepreneurship education, how to enroll in entrepreneurship courses, and the entrepreneurship courses offered. It also introduces activities outside of class, such as lectures and seminars, as well as the Collaboration Center for Design and Manufacturing.

Please watch the orientation videos using the links below and enroll in the entrepreneurship courses.

-Orientation Video for Master's Students (English)
-Orientation Video for Doctoral Students (English)
-Reference：
1. Materials and videos (Box file link)
2. Center for Entrepreneurship Education website
3. [Graduate Students in the Science and Engineering Fields] 2026 Fall Entrepreneurship Course Orientation Video Now Available!(Website for Current Students)

[Contact]
Center for Entrepreneurship Education
Email: info@cee.isct.ac.jp

1. [Call for participants] "Practical Approaches to Business Leadership and Entrepreneurship": The 15th Global Leadership Cafe Lecture Series - Guest Speaker: Mr. Wilf Blackburn, Author of Optimal Leadership and Business Leader

At the Center for Entrepreneurship Education, we are happy to welcome Mr. Wilf Blackburn, a global business leader and author of Optimal Leadership: Reflections of a Serial CEO, on campus on Wednesday, November 18, 2026. Mr. Blackburn will give a lecture entitled "Practical Approaches to Business Leadership and Entrepreneurship" in person at Ookayama Campus and online, followed by a Q&A session.

This lecture will explore ways of thinking and practical approaches to creating new value in highly uncertain environments, with a particular focus on business, from three perspectives: entrepreneurship, innovation, and leadership and value creation.
Mr. Blackburn will share insights from his experiences serving as a CEO in multiple countries, including lessons learned from failure, empowering teams, and leading effectively in cross-cultural environments.

The event is open to everyone, regardless of discipline or affiliation, including students, faculty, and staff, as well as members of the general public.
Please join us!
*Members of Science Tokyo are encouraged to attend in person whenever possible.
**Members of the general public are asked to participate online.

-Event outline:
[Date and Time] Wednesday, November 18, 2026, 6:00 p.m. - 7:30 p.m.
[Method and Venue] In person and online via Zoom; In-person venue at Workshop Room 1 & 2, Taki Plaza B2F, Ookayama Campus
[Eligibility] Open to all, including Science Tokyo students, faculty and staff, and the general public
[Language used] English
[Fee] Free of charge
[Registration]
-In-person participation (Members of Science Tokyo only.)
-Online participation
*The venue is subject to change. Please see the latest information on our website.
**We kindly ask members of Science Tokyo to attend in person whenever possible and members of the general public to participate online due to venue constraints.
-Details (Academy for Leadership website)
-Flyer

2. [Open to all students] Entrepreneurship Courses (Leadership and Value Creation) and Workshops

Students of any grade level or major* may enroll in Entrepreneurship Courses, which consist of various workshops, to earn credits, or participate in individual workshops. The following is information on courses and workshops to be offered in 3-4Q.
*Students in the medical and dental fields may participate only in individual workshops. (Credits or points will not be granted in this case.)
[Details]

(a) [Briefing sessions] Programming Boot Camp
-Date and time*: [Session 3] Wednesday, October 7, 2026, 6:00 p.m. - 7:00 p.m.
*This session covers the same content as Sessions 1 and 2, held in July and August.
-Venue: Room S6-309B, Ookayama Campus or online
-Outline: This program is conducted in a hackathon-style format, in which participants propose a new web service that they "wish existed," form teams, and develop it from scratch over four intensive days, including a three-day camp.
-Details and application

(b) Design Thinking for Your Creative Practice (Series of 2 classes; an event of Science Tokyo SPRING (Science and Engineering fields))
-Date and time: Saturday, October 31, 2026 and Sunday, November 1, 2026 (Both classes from 9:00 a.m. - 6:00 p.m.)
-Venue: Room S4-202, Ookayama Campus
-Outline: Grounded in "Creative Confidence" and a "User-Centric" approach, Design Thinking serves as a foundational framework for fostering entrepreneurship. It builds practical capability through hands-on experience rather than mere theory, helping participants clarify what they want to achieve and develop the ability to logically persuade others to help make it happen. Led by professional designers and educators from the Stanford d.school, the University of Texas at Austin, and global organizations, this unique two-day workshop features fast-paced, highly engaging Silicon Valley-style facilitation.
*Please note: If applications exceed capacity, a selection will be held.
-Details and application

(c) Thinking about Entrepreneurship with Top Venture Capitalists (Series of 8 classes; an event of Science Tokyo SPRING (Science and Engineering fields))
-Date and time: Thursdays, October 22, October 29, November 5, November 12, November 19, December 3, December 10 and December 17, 2026 (All classes from 5:30 p.m. - 7:10 p.m.)
-Venue: (tentative) Lecture Theater (WL1-301, West lecture building 1), Ookayama Campus
-Outline: In today's world, cultivating an "entrepreneurial mindset"-the drive to create and deliver new value-is essential for everyone, whether you pursue a career in research or business. This course is developed and delivered by DNX Ventures, a world-class venture capital firm operating in both Japan and the United States. Whether or not you are interested in starting a business, this course will help you grasp cutting-edge societal trends and broaden your options for the future.
-Details and application

(d) Tsutaeru Lounge (An event of Science Tokyo SPRING (Science and Engineering fields))
-Dates, times, and venues:
<Yokohama Campus, Room J3-309B>
Wednesdays, October 14, October 21 and October 28, 2026 (all classes from 6:00 p.m. - 8:00 p.m.)
<Joint Session with [Debate Club]>
Tuesday, December 1, 2026 5:00 p.m. - 6:00 p.m. Room S6-309A, Ookayama Campus
<Ookayama Campus, Room S4-202>
Wednesday, November 18*, Fridays, December 4 and December 11, 2026 (all classes from 6:00 p.m. - 8:00 p.m.)
*Only on November 18: Room I1-256, Ookayama Campus
-Outline: This student-led peer-teaching program uses games and lectures to cultivate logical thinking and persuasive skills. The goal is to help participants develop the essential communication skills needed by researchers through practical experience. To achieve this objective, workshops will be conducted in a presentation format at Ookayama and in a debate format at Yokohama.
*Students may attend just one session.
-Details and application

(e) Nonviolent Communication (Series of 2 classes; an event of Science Tokyo SPRING (Science and Engineering fields))
-Date and time: Fridays, October 16 and October 30, 2026 (both classes from 5:00 p.m. - 8:00 p.m.)
-Venue: Room S6-305, Ookayama Campus
-Outline: This workshop uses Nonviolent Communication (NVC) to explore misunderstandings from new perspectives. The skills can be applied both to everyday challenges in research groups and to broader dialogues between science, technology, and society.
-Details and application

(f) AI Literacy for the Future of Work: AI Ambassadors Japan 2026 (Series of 2 classes; an event of Science Tokyo SPRING (Science and Engineering fields))
-Date and time: Sundays, October 18 and October 25, 2026 (both classes from 1:00 p.m. - 5:00 p.m.)
-Venue: Room S4-202, Ookayama Campus
-Outline: In this class, participants will learn the basic mechanics of how language models are trained and how their behavior is shaped by training data, gain hands-on experience designing and prototyping LLM-based agents, and develop a more grounded sense of personal agency in relation to AI technologies.
-Details and application

(g) Book Dialogue for Leadership (Series of 2 classes; an event of Science Tokyo SPRING (Science and Engineering fields))
-Dates, times, and venues:
<Japanese sessions, 6:00 p.m. - 8:30 p.m.>
Tuesdays, October 20, 2026, Room J3-309B, Yokohama Campus and December 22, 2026, Room S6-305, Ookayama Campus
<English sessions, 6:00 p.m. - 8:30 p.m.>
Friday, November 20, 2026, Room J3-309B, Yokohama Campus and Tuesday, January 12, 2027, Room S6-305, Ookayama Campus
-Outline: This workshop explores books that support leadership development and deepen participants' insights into future society. Using the unique reading method called Active Book Dialogue, participants will engage in focused reading and rich discussion in a short time.
-Details and application

(h) Empower You Program (Series of 7 classes; an event of Science Tokyo SPRING (Science and Engineering fields))
-Date and time: Mondays, October 26, November 9, November 16, November 30, December 7, December 21, 2026 and Thursday, January 7, 2027 (all classes from 6:00 p.m. - 7:30 p.m.)
-Venue: Room S6-309A, Ookayama Campus
-Outline: This peer-teaching workshop is proposed and led by students in the Academy for Leadership. It uniquely combines reflective activities and skill-building exercises in an interactive format, allowing participants to develop a deeper understanding of themselves and enhance their interpersonal skills.
*Students may attend just one session.
-Details and application

(i) Debate Club (An event of Science Tokyo SPRING (Science and Engineering fields))
-Date and time:
<Theory Session>
Tuesdays, October 27, November 10, November 17 and November 24, 2026 (all classes from 6:00 p.m. - 8:00 p.m.)
<Joint Session with Tsutaeru Lounge>
Tuesday, December 1, 2026 5:00 p.m. - 6:00 p.m.
<Debate Session>
Tuesdays, December 1, December 8 and December 15, 2026 (all classes from 6:00 p.m. - 8:00 p.m.)
-Venue: Room S6-309A, Ookayama Campus
-Outline: This peer-teaching workshop is proposed and led by students in Academy for Leadership. Challenge yourself without pressure, enjoy debating, and develop foundational argumentation skills while learning to consider diverse perspectives.
*Students may attend just one session.
-Details and application

(j) Future Foresight (Series of 3 classes; an event of Science Tokyo SPRING (Science and Engineering fields))
-Date and time: Fridays, November 6 and November 13, 2026, 6:00 p.m. - 9:00 p.m. and Sunday, November 22, 2026, 1:00 p.m. - 6:00 p.m.
-Venue: Room S4-202, Ookayama Campus
-Outline: By utilizing horizon-scanning techniques to identify signs of uncertain change and forced-ideation techniques (brainstorming), participants will proactively explore and design possible futures 10-15 years from now.
-Details and application

(k) Exploring Your Values for Career Decisions (Series of 2 classes; an event of Science Tokyo SPRING (Science and Engineering fields))
-Date and time: Saturdays, November 7 and November 14, 2026, 1:00 p.m. - 5:00 p.m.
-Venue: Room S6-305, Ookayama Campus
-Outline: This workshop aims to help participants make future career choices with greater confidence by exploring their personal values through dialogue with others.
-Details and application

(l) Project Tuning in the Age of AI (Series of 2 classes; an event of Science Tokyo SPRING (Science and Engineering fields))
-Dates, times, and venues:
[Day 1] Sunday, November 8, 2026, 2:00 p.m. - 6:00 p.m., Room S4-202, Ookayama Campus
[Day 2] Sunday, November 15, 2026, 2:00 p.m. - 6:00 p.m., Room I1-256, Ookayama Campus
-Outline: This workshop explores the human side of projects in the age of AI.
-Details and application

(m) Business Co-Creation Ideathon: Turning Real-World Questions from Rwanda into Value (An event of Science Tokyo SPRING (Science and Engineering fields))
-Date and time: Wednesday, November 11, 2026, 5:00 p.m. - 8:00 p.m.
-Venue: Room I1-254, Ookayama Campus
-Outline: Teams will develop business plans based on challenges that facilitators encountered in the field in Rwanda.
-Details and application

(n) EGAKU (An event of Science Tokyo SPRING (Science and Engineering fields))
-Date and time: Saturday, December 5, 2026, 1:00 p.m. - 5:00 p.m.
-Venue: White Ship Inc. (Moto-Akasaka, Minato-Ku, Tokyo)
-Outline: By creating art (abstract paintings) and appreciating the work of others, participants will develop creative communication skills, become aware of unconscious biases, and develop self-awareness.
-Details and application

(o) Co-Creation Workshop with Need-Knowers (Series of 2 classes; an event of Science Tokyo SPRING (Science and Engineering fields))
-Date and time: Sunday, December 6, 2026, 1:00 p.m. - 4:00 p.m., and Sunday, December 13, 2026, 1:00 p.m. - 5:00 p.m.
-Venue: 1st Floor, EEI Building, Ookayama Campus
-Outline: This workshop will cover the fundamental theories of co-creation design and provide participants with hands-on experience working with Need-Knowers to generate ideas for transforming problems into value.
-Details and application

(p) Interactive Workshop for Building Confidence in Spoken English (Series of 2 classes; an event of Science Tokyo SPRING (Science and Engineering fields))
-Date and time: Wednesdays, December 9 and December 16, 2026, 6:00 p.m. - 8:00 p.m.
-Venue: Room S6-309A, Ookayama Campus
-Outline: Starting with "It's okay to make mistakes," this interactive workshop provides a space for participants to practice speaking English through dialogue.
-Details and application

(q) Self-Expression Workshop Starting with Creative Work (Series of 2 classes; an event of Science Tokyo SPRING (Science and Engineering fields))
-Date and time: Saturday, December 12 and Sunday, December 20, 2026 (both classes from 1:00 p.m. - 5:00 p.m.)
-Venue: Room S6-309A, Ookayama Campus
-Outline: In this workshop, participants will use various materials to give shape to thoughts and feelings that are hard to put into words. By talking with others about what they create, they will explore and deepen their understanding of themselves.
-Details and application

(r) Rethinking Your Self-Image Through Improv (An event of Science Tokyo SPRING (Science and Engineering fields))
-Date and time: Wednesday, December 23, 2026, 6:00 p.m. - 8:00 p.m.
-Venue: Room S6-309A, Ookayama Campus
-Outline: Through improvisational games, participants will be invited to try ways of acting and responding that differ from their usual habits. They may discover new sides of themselves and new possibilities for how they act.
-Details and application

*For information on Entrepreneurship Courses, please check the Study Guide, Timetables, Science Tokyo Syllabus and our website.

[Contact] Leadership and Innovation Section, Center for Entrepreneurship Education
Email: lead.innov_edu@cee.isct.ac.jp

[All Graduate Students] New Startup Course "Innovation Teams" Launching Oct 8 (Registration Required) The Center for Startup Education, established on July 1, 2026, is pleased to announce the launch of a new course, "Innovation Teams," for all graduate students starting in the 3rd-4th Quarters of AY2026.
The syllabus is now available. Please check the details below if you are considering taking the course.

- Course Overview
In this hands-on course, students will form teams to analyze the commercialization potential of actual research outcomes generated in university labs (or research seeds of interest within Science Tokyo) and develop actionable business plans.
Experienced faculty members and industry practitioners with deep-tech startup backgrounds will provide ongoing guidance. In the second class, Ko Nagao (Co-founder of Kyoto Fusioneering and Specially Appointed Professor) will deliver a guest lecture.

-Term: AY2026 3rd-4th Quarters (3-4Q)
-Schedule: Thursdays, Periods 1-2 (First class on October 8)
-Venue: Room W3-201, 2nd Floor, West Building 3, Ookayama Campus
-Language: English
-Format: Lecture / Exercises (Blended)
-Target Audience: All Graduate Students (Master's, Doctoral, and Professional Degree Programs)
-Capacity: Approx. 20 students in total

- Course Registration and First Class
Students wishing to enroll are required to attend the first class on October 8 and submit their course registration via the Web System for Students and Faculty on the same day. Please check the LMS for class schedules and other details.
-First Class: Thursday, October 8, Periods 1-2 (Room W3-201)
Please complete your course registration by Thursday, October 8.

*If the number of applicants exceeds the capacity (approx. 20 students), priority will be given to those who register by the deadline, and a selection process will take place. You will be notified of your enrollment status via your university email address (m.isct) or other registered contact methods, so please be sure to check your email.

- Syllabus Links
- Master's Program [Course Code: SUE.P501]
- Doctoral Program [Course Code: SUE.P601]
If you are eager to apply your research to benefit society, or interested in startup creation and business development, we look forward to your participation and taking on this challenge!

[Contact]
Center for Startup Education Contact Form