The Frontrunner in Pioneering Information Science Education

The Graduate School of Information Science (GSIS) undertakes high-level fundamental research in information science, while systematically training students to be pioneering researchers and engineers in the areas of information science and engineering. In 2011, three departments in GSIS were integrated into the Department of Information Science, which has three divisions: Computer Science, Media Informatics and Applied Informatics.
GSIS offers flexible systems, such as entrance examination by interview, accelerated admission and early course completion to accept and encourage excellent students. Through our acknowledged curriculum and research base, we educate students who will be leaders in a highly advanced information society.

International Program

GSIS established the master's International Program in April 2011 aiming to encourage enrollment of outstanding students from countries worldwide. The International Program is designed to mainly accommodate international students, offering research and education environments (lectures, research supervision, office help, etc.) in English, as well as opportunities for students to familiarize themselves with Japanese culture. A wide range of subjects are provided in information science and in such interdisciplinary areas as intellectual property and professional ethics.
GSIS also established the "International Program in Information Science focused on Course Work and Empirical Training". This program has been selected as one of the "International Priority Graduate Programs (IPGP)" by the Ministry of Education, Culture, Sports, Science and Technology-Japan (MEXT) and students who successfully pass the screening process will be fully supported by the MEXT Scholarship.

Support Program for Improving Graduate School Education

The Graduate School of Information Science organizes the Educational Program to Promote Creativity and International Competitiveness in Information Science (CICP), which develops research project planning and implementation skills, and increases communication skills via group work. CICP focuses on soliciting original research projects that students endeavor to realize in addition to their research activities supervised by professors. Students are required to write research proposals and budgets are assigned to accepted proposals based on their evaluation scores. Experience in writing research proposals promotes the skills essential to writing comprehensive and persuasive articles, while experience in leading projects helps students organize and lead group-based research.

Open-minded, engaged faculty members and diverse laboratory structure

  • Division of Computer Science, Division of Media Informatics, and Division of Applied Informatics
  • Cooperative Laboratory with the Information Initiative Center
  • Collaborative Laboratories in external institutions

Flexible research and education system

  • Choice of research laboratory based on student preference
  • Quarter system with intensive training and varied curriculum, including archived lectures
  • Fast-track accommodation for early graduation
  • Received highest university evaluation by Ministry of Economy, Trade and Industries

Support for outstanding students

  • Teaching Assistant (TA) and Research Assistant (RA) programs
  • Support for international exchange activities

Advanced research environment

  • Integrated information processing system "Mandara"
  • Digital library and lecture archives
  • Wide range of advanced large-scale research facilities

Admission system valuing individuality

  • Interview-based admission
  • Cross-disciplinary admission and recruitment
  • Fast-track admission for outstanding students

Special IT training programs

  • SecCap (enPiT-Security): Security specialist development program in Education Network for Practical Information Technologies
  • Geiot: Advanced development program for Global Entrepreneur in Internet Of Things

Super research group

  • Big Data Project: A NAIST-wide project to produce innovative data analytics methodologies, and educate top data analysts and scientists using real big data provided by private companies, government institutions and other laboratories throughout NAIST such as information science, biological sciences, and materials science.

Graduate School of Information Science


Division of Computer Science

Division of Media Informatics

Division of Applied Informatics

Affiliate Laboratories