About
Overview of Center
Objective
Since 2019, the Tokyo Institute of Technology has been the first in Japan to implement a University-wide Education in Data Science and Artificial Intelligence. The center has expanded university-wide education and established a program to cultivate top talent, and promoted creating a location for data science and AI education for its development. The purpose of this program is to cultivate “co-creative experts” who can solve problems and provide educational guidance beyond the boundaries of specialized fields.
Framework
Under the Steering Committee of the Center for Data Science and Artificial Intelligence Education, which consists of members selected from Science Tokyo's 6 schools, 3 Academies, and interdisciplinary courses, the center has set up five departments: University-wide Education Department, Social Partnership Department, Information Infrastructure and Public Relations Department, Planning and Research Department, Medical Education Development, and the Administrative Office. Through this mutual cooperation, the center operates university-wide educational programs, etc., and aims for students to acquire the basic knowledge of problem-solving skills.

Annual report
Self-check and evaluation
Greeting from the Director
The development of data science and AI technologies in modern society has been remarkable. Data science, which extracts valuable insights from vast amounts of data, has played a crucial role in a wide range of fields in recent years, including science, engineering, and medicine. At the same time, AI technologies, such as generative AI, are increasingly being utilized as foundational tools in numerous areas, with their influence expanding day by day. In this environment, education in data science and AI is becoming increasingly essential across multiple disciplines.
The science and engineering fields (formerly Tokyo Institute of Technology) at Institute of Science Tokyo have been promoting the “Program for Development of Co-creative Experts” to cultivate top-tier human resources, based on university-wide education in data science and AI. Launched in AY 2019, this program was a pioneering initiative in Japan. Additionally, with the aim of becoming an educational hub for other universities, the Center for Data Science and Artificial Intelligence Education was established in AY 2022. The center has been active as a lead institution for the Ministry of Education, Culture, Sports, Science and Technology (MEXT)’s “Promotion of Nationwide Deployment of Mathematics, Data Science, and AI Education” project. Furthermore, the medical and dental sciences fields (formerly Tokyo Medical and Dental University) have been expanding this initiative to universities nationwide as a specialized field school (for medical, dental, and pharmaceutical sciences) since the 2022 academic year. Since October 2024, this initiative has officially been integrated into the Center for Data Science and Artificial Intelligence Education.
The mission of Science Tokyo's Center for Data Science and Artificial Intelligence Education is to cultivate “co-creative experts” who can (1) make full use of data science and AI, (2) collaborate using data science and AI, and (3) teach data science and AI to others. In other words, our goal is to develop individuals who not only possess advanced specialized knowledge and skills, but can also foster innovation across disciplinary boundaries and train the next generation of professionals who will shape the future.

Isao Ono
Management system and faculty members
Center faculty
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Isao Ono
Director / Professor, School of Computing
Areas of specialization: Evolutionary computation / Reinforcement learning / Optimization
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Jun Sakuma
Vice Director / Professor, School of Computing
Areas of specialization: Machine learning / Artificial intelligence / AI security / Data privacy
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Atsuhiro Kinoshita
Professor, Graduate School of Medical and Dental Sciences
Areas of specialization: Dental education / Computer simulation / Periodontal tissue regeneration / Periodontitis
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Hideyuki Shimizu
Professor, Institute of Integrated Research, M&D Data Science Center
Areas of specialization: Machine learning / Bioinformatics / Clinical informatics
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Asako Kanezaki
Associate Professor, School of Computing
Areas of specialization: Machine learning / Robotics / Pattern recognition / Computer vision / 3D object recognition
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Keisuke Yanagisawa
Assistant Professor, School of Computing
Areas of specialization: Bioinformatics / Computational drug discovery / Machine learning applications
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Hidetoshi Sekiguchi
Executive Vice President for Education
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Tsuyoshi Isshiki
Professor, School of Engineering
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Teruoki Tago
Professor, School of Materials and Chemical Technology
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Takashi Ishida
Professor, School of Computing
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Takafumi Kanamori
Professor, School of Computing
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Katsuhiko Gondo
Professor, School of Computing
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Tsuyoshi Murata
Professor, School of Computing
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Kengo Sato
Professor, School of Life Science and Technology
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Nobuhiro Chijiwa
Professor, School of Environment and Society
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Yukihiko Yamashita
Professor, Center for Innovative Teaching and Learning
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Toshiaki Hattori
Associate Professor, School of Science
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Manzhos Sergei
Associate Professor, School of Materials and Chemical Technology
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Yu Tao
Specially Appointed Associate Professor, Academy for Super Smart Society
Specially Appointed Faculty
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Tagui Ichikawa
Specially Appointed Professor, Center for Data Science and Artificial Intelligence Education
Areas of specialization: Social Systems and Policies of Technology and Innovation / Digital and AI Governance Policy
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Keiji Okumura
Specially Appointed Professor, Center for Data Science and Artificial Intelligence Education
Areas of specialization: Nonlinear science / Complex systems science
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Kenji Suzuki
Specially Appointed Professor, Center for Data Science and Artificial Intelligence Education
Areas of specialization: AI ethics / Information law / Intellectual property law / Artificial intelligence
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Norio Tomii
Specially Appointed Professor, Center for Data Science and Artificial Intelligence Education
Areas of specialization: Scheduling algorithm / Data analysis / Machine Learning
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Katsumi Nitta
Specially Appointed Professor, Center for Data Science and Artificial Intelligence Education
Areas of specialization: Artificial intelligence and law / Dialogue informatics / Mathematical argumentation
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Yoshihiro Miyake
Specially Appointed Professor, Center for Data Science and Artificial Intelligence Education
Areas of specialization: Co-creation system / Communication science / Cognitive neuroscience / Human interface
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Kei Miyazaki
Specially Appointed Professor, Center for Data Science and Artificial Intelligence Education
Areas of specialization: Marketing science / Statistical science
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Takayoshi Yokota
Specially Appointed Professor, Center for Data Science and Artificial Intelligence Education
Areas of specialization: Intelligent Transportation Systems(ITS)/ Positional information processing / IoT Technology
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Yutaro Tachibana
Specially Appointed Associate Professor, Center for Data Science and Artificial Intelligence Education
Areas of specialization: Enterprise Data and AI Applications / Generative AI / Machine Learning
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Takeaki Sudo
Specially Appointed Junior Associate Professor, Center for Data Science and Artificial Intelligence Education
Areas of specialization: Periodontitis / Machine learning
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Cao Ridan
Specially Appointed Assistant Professor, Center for Data Science and Artificial Intelligence Education
Areas of specialization: Comprehensive Dentistry
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Kanji Tabata
Specially Appointed Assistant Professor, Center for Data Science and Artificial Intelligence Education
Areas of specialization: Gum disease / Machine learning