Master's Course
Predictive Informatics Course
Predictive Informatics Course is engaged in the development of information collection using innovative measurement and digital technologies, advanced information processing, analysis, and management based on the latest AI, mathematical and data science methods, and prediction technology based on diverse information. In addition, by conducting practical education and research in collaboration with various organizations in Japan and overseas, we aim to solve social issues and create new knowledge, such as food and agriculture, mobility, energy, health, and environment.
Natural Resources and Energy Science Course
This program aims to foster students' abilities to promote data-driven research and development in order to develop new functional substances and materials, power generation and storage devices, and energy-saving technologies as well as to integrate them into the energy systems by learning and utilizing AI, mathematics, and data science methods. Students will acquire advanced technologies and related special knowledge in the field of resource and energy science, which is deeply related to a wide range of fields such as chemistry, physics, mechanics, and electricity, and contribute to solving resource and energy problems, considering global environment and sustainability.
Health and Wellness Science Course
Students will acquire advanced technologies and related special knowledge in areas such as biomedical sensing, robotics, electronics, computing, and cognitive science, which are the foundations of human and bioengineering and healthcare technologies that support health and welfare. They will also engage in dynamic interdisciplinary research using AI, mathematics, and data science methods, collaborating with researchers and experts in a wide range of fields, in order to create new technological knowledge that will lead to the promotion of healthy lives and welfare for all people, and to apply it to solving global health issues.
Food and Environmental Science Course
In order to build a sustainable society, students will acquire advanced technologies and related specialist knowledge in fields such as soil science, botany, entomology, environmental chemistry, and materials chemistry that contribute to environmentally friendly food production and resource circulation, as well as the ability to pioneer new fields through collaboration with AI, mathematics, and data science methods. Based on their deepened specialist knowledge and comprehensive interdisciplinary knowledge, the program cultivates talent who will create concepts and technologies that support rich food and the environment, and ultimately people's sense of purpose in life, and contribute to local and international communities.
Curriculum
The Department of Advanced Interdisciplinary Science in the Graduate School of Advanced Interdisciplinary Science offers a well-balanced practical and specialized courses in order to cultivate the cutting-edge expertise, interdisciplinarity, and practical skills necessary for researchers and engineers from a global perspective. In addition, the curriculum is designed to enable students to conduct advanced and interdisciplinary education and research by providing courses to acquire the knowledge and skills necessary to incorporate the latest information and digital technologies, AI, mathematics, and data science methods, as well as research and problem-solving skills through master's thesis research.