The program aims to develop research and development professionals who can leverage advanced data analysis to transform existing industries or create entirely new businesses through innovative ideas, thereby contributing to the resolution of social challenges and the creation of new value.
By actively incorporating the perspectives and approaches of computational social science—an interdisciplinary field that integrates social sciences, data science, and computational science—the program fosters doctoral-level professionals capable of analyzing observed individual and collective behavior, social phenomena, and social issues through the effective use of data. Through such analyses, students will identify the underlying principles and systems behind these phenomena, develop sophisticated models, and generate new value based on their findings.

The program is designed to cultivate highly skilled research and development professionals who can effectively utilize data science as a practical tool in the real world. Building on expertise in economics and business administration, students acquire both knowledge-based skills, including advanced quantitative and statistical analysis skills, and practical skills learned from practitioner faculty members who are actively involved in cutting-edge development and problem-solving in the field. All classes in this program are offered exclusively in the evening.
1) University-wide graduate subjects (Elective Required: 2 credits)
To foster broad and advanced academic knowledge as well as a commitment to creating “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 develop fundamental research management competencies required of doctoral researchers across disciplines within the graduate school, the program offers graduate school-wide subjects, including the following:
Project Research, and others.
3) Program-specific subject (Required: 6 credits): Special Study
To cultivate advanced 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.

Students who complete the required credits, successfully pass the doctoral dissertation review and final examination, and demonstrate expertise in social sciences centered on economics and business administration, together with the ability to apply knowledge and methodologies in mathematics, data science, and AI, will be awarded the degree of Doctor of Philosophy in Social Data Science.

1-1-89 Higashi-Senda-machi, Naka-ku, Hiroshima 730-0053, Japan
Tel: +81-82-542-6961/ Fax: +81-82-542-6964 (Higashi-Senda Area Support Office)