Kanda University of International Studies Launches 'Logical Data Science Course' for Shorin High School Students
A pioneering model of high school-university collaboration, extending university-level data science resources to secondary education to foster data-driven problem-solving skills.
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- 📰 Published: May 28, 2026 at 03:54
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Kanda University of International Studies (Chiba City; President: Shingo Ashizawa) has partnered with Shorin High School (Kimitsu City; Director: Yasunori Kurihara) to launch the "Logical Data Science Course: Exploring the Future of School Cafeterias with Data." Starting May 13, 2026, the six-session program targets 32 sophomores in the school's Advanced Course, focusing on developing the ability to solve challenges using empirical evidence.
Utilizing the data visualization and analysis tool "Tableau," students analyze real-world cafeteria sales and usage data. The curriculum guides them through the entire process of identifying issues and proposing solutions. This initiative is part of a high school-university collaboration agreement that combines Kanda University’s strengths in language and communication with analytical and judgment-based data perspectives.
The program is structured around six core objectives: acquiring data utilization skills via Tableau, improving mathematical reasoning, developing hypothesis verification abilities, fostering problem-solving skills, enhancing storytelling, and strengthening teamwork. By the final session on July 15, teams will present their findings and improvement proposals. Exceptional suggestions may be implemented in the actual school cafeteria, connecting classroom learning to real-world application.
Kanda University of International Studies has been expanding its university-wide "Data Science and AI Education Program," viewing data science as a form of "communication through numbers." By extending these resources to the high school level, the university aims to equip students with cross-disciplinary literacy essential for the global workforce.
Utilizing the data visualization and analysis tool "Tableau," students analyze real-world cafeteria sales and usage data. The curriculum guides them through the entire process of identifying issues and proposing solutions. This initiative is part of a high school-university collaboration agreement that combines Kanda University’s strengths in language and communication with analytical and judgment-based data perspectives.
The program is structured around six core objectives: acquiring data utilization skills via Tableau, improving mathematical reasoning, developing hypothesis verification abilities, fostering problem-solving skills, enhancing storytelling, and strengthening teamwork. By the final session on July 15, teams will present their findings and improvement proposals. Exceptional suggestions may be implemented in the actual school cafeteria, connecting classroom learning to real-world application.
Kanda University of International Studies has been expanding its university-wide "Data Science and AI Education Program," viewing data science as a form of "communication through numbers." By extending these resources to the high school level, the university aims to equip students with cross-disciplinary literacy essential for the global workforce.
FAQ
What is the primary goal of the Logical Data Science Course?
The course aims to develop students' ability to think logically based on data and solve problems with evidence-backed reasoning, rather than relying on intuition alone.
Why was the school cafeteria chosen as the subject of analysis?
The cafeteria is a familiar environment for students, providing accessible yet complex real-world data (sales and usage) that makes the analytical process more relevant and engaging.
How does this program reflect Kanda University's educational philosophy?
It integrates technical data analysis with the university's core focus on communication and international liberal arts, treating data science as a vital tool for collaborative problem-solving in a global society.