The program aims to cultivate highly skilled professionals in educational digital transformation (DX) who possess advanced knowledge and expertise in digital technologies such as ICT and data science; conduct theoretical and empirical research on educational DX; apply the outcomes of such research to address various educational challenges; and promote research and development for building more appropriate educational environments and enhancing educational practice.
Specifically, the program develops individuals who
(a) specialize in a particular area of education and are capable of solving complex educational problems through the use of digital technologies;
(b) have a deep understanding of the impact of digitalization on education and can solve problems at an advanced level by utilizing knowledge and data from fields such as education and psychology; and
(c) can implement educational practices and design educational systems adapted to DX in school education on a broad scale, based on the outcomes of theoretical and empirical research.

Based on the human resources development goals established for this program, university-wide graduate subjects, graduate school-wide subjects, and program-specific subjects are offered to enable students to achieve the objectives set forth in the Diploma Policy.
1) University-wide graduate subjects (Elective Required: 2 credits)
To foster broad and advanced academic knowledge and to enhance students’ motivation to create “science for sustainable development,” the program offers university-wide graduate subjects, including the following:
Innovation Seminar, Long-Term Internship, Pathway to becoming a Data Scientist, Pattern Recognition and Machine Learning, and others.
2) Graduate school-wide subjects (Elective Required: 2 credits)
To cultivate perspectives and competencies that serve as a common foundation across the humanities, social sciences, and educational sciences, the program offers graduate school-wide subjects, including the following:
Project Research, and others.
3) Research supervision (Required: 6 credits): Special Study
To cultivate broad-ranging abilities in identifying and solving problems, the program offers Special Study, conducted under a multiple-supervisor system consisting of a primary supervisor and at least two secondary supervisors, including faculty members whose fields of expertise differ from that of the primary supervisor. The supervisory team must include at least one faculty member from the humanities and social sciences and at least one faculty member from the fields of mathematics, data science, and AI.
In Special Study, students address issues arising from the advancement of data science in education from the perspective of educational sciences.
Specifically, faculty members in subject pedagogy, psychology, and education collaborate with faculty members in mathematics, data science, and AI to engage in research on topics such as the development of teaching materials and curricula to foster students’ data and information literacy; the effects of generative AI and digital teaching materials on learning outcomes and development among children and adolescents; the implementation of personalized learning based on data accumulated through daily learning activities; and collaboration between school personnel and AI in school management. Through these activities, students develop the ability to identify and solve issues related to the use of data science in education from the perspective of educational sciences, as well as the ability to utilize data science appropriately.

Students who complete the required credits, successfully pass the doctoral dissertation review and final examination, and demonstrate expertise in the academic fields of education and psychology, together with knowledge and competencies in mathematics, data science, and AI, as research and development professionals, will be awarded the degree of Doctor of Philosophy in Education Data Science.

1-1-1 Kagamiyama, Higashi-Hiroshima 739-8524, Japan
Tel: +81-82-424-6705 / Fax: +81-82-424-3478 (Support Office for the fields of Education / Managing Support Office for the Graduate School of Humanities and Social Sciences)
* For inquiries regarding admissions (e-mail): kyoiku-in＊office.hiroshima-u.ac.jp (Please replace “＊” with “@” before sending your e-mail.)