For industry to become more competitive and produce the innovations that will result in a sustainable society, there is a strong need for postdoctoral research professionals capable of exercising global leadership. In particular, it has become increasingly important to have the ability to conceive of strategies that are both multidisciplinary and hierarchically integrated, able to comprehend needs identified from a social scientific perspective without the limitations of any particular field.
“This Program for Leading Graduate Schools aims to nurture ‘system-inspired leaders in multidisciplinary science’ who can conceive of research strategies that lead to new value creation (innovation) through a combination of multidisciplinary thinking that sees across numerous fields, and hierarchical integration that unifies the many levels within a given field.”
The fundamental aim of this program is to train professionals who, for the purpose of building and growing a sustainable society, bring innovation to industry by creating new value that transcends individual fields. We cultivate professionals with the following qualities:
The Leading Program course offers a unique five-year curriculum designed to help students acquire the skills necessary to become “system-inspired leaders in multidisciplinary science” (see the curriculum for details). Students select classes and improve their skills according to their own coursework plan. Student progress is evaluated at each stage using a qualification evaluation system (QE, Defense) to ensure the quality of student learning outcomes.
Students who complete this program alongside their graduate school’s doctoral program will have “System-inspired Leaders in Multidisciplinary Science Program Completed” inscribed on their doctoral degree.
Graduate School of Engineering
Graduate School of Science
Graduate School of Agriculture
Graduate School of Sustainable System Sciences
Graduate School of Informatics
Graduate School of Rehabilitation Science
Graduate School of Human Life and Ecology
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