Students
Tuition Fee
Start Date
2026-04-01
Medium of studying
Duration
Details
Program Details
Degree
Courses
Major
Computer Programming | Data Analysis | Data Science
Area of study
Information and Communication Technologies | Mathematics and Statistics
Course Language
English
Intakes
Program start dateApplication deadline
2025-04-01-
2025-08-20-
2025-09-24-
2025-09-30-
2026-04-01-
2026-08-20-
2026-09-24-
2026-09-30-
2027-04-01-
2027-08-20-
2027-09-24-
2027-09-30-
About Program

Program Overview


Data-related human resource development Kansai region consortium (for graduate students)

B course: Data science “Practical course”

The B Course: Data Science 'Practical Course' is designed to equip students with the fundamental knowledge and skills necessary for data science, followed by a practical value creation process using actual sample data. This course utilizes active learning and project-based learning, allowing students to learn by hands-on experience.


Program Details

  • Certificate: Students who complete 5 credits in A Course and 2 credits in B Course will be issued a "Data Science Certification".
  • Course Description: This course focuses on the practical application of data science, enabling students to acquire the necessary skills and knowledge through hands-on experience.
  • Teaching Methods: Active learning and project-based learning are employed to provide students with a comprehensive understanding of data science.

University Courses

Lecture at Kobe University

  • Course Names:
    • Practical Data Science Exercise A
    • Practical Data Science Exercise B
    • Financial Information System PBL
    • Data Science Special Lecture 2
    • Data Science Contest-Type PBL Practice
  • Application Deadlines:
    • Saturday, June 14, 2025 (June 14, 2025) for students from other universities
    • Tuesday, August 19, 2025 (August 19, 2025) for students from other universities

Lecture at Osaka University (Osaka University)

  • Course Names:
    • 2025 Data Science Internship (1 credit)
    • 2025 Data Science Internship (2 credits)
  • Schedule: April 1, 2025 - March 31, 2026

Shiga University Lecture (Shiga University)

  • Course Names:
    • Supervised Learning (Teacher-Led Learning)
    • Teacher-Less Learning
  • Application Deadline: April 11, 2025

Lecture at Wakayama University (Wakayama University)

  • Course Names:
    • Practical Data Mining 1
    • Practical Data Mining 2
  • Schedule:
    • Practical Data Mining 1: Wednesday, August 20, 2025 - Wednesday, August 27, 2025 (August 20-27, 2025)
    • Practical Data Mining 2: Wednesday, September 24, 2025 - Tuesday, September 30, 2025 (September 24-30, 2025)
  • Application Deadline: Friday, May 16, 2025 (May 16, 2025)

Lecture at Nara Institute of Science and Technology

  • Course Name:
    • Data Science PBLⅠ (Data Science PBL 1)
  • Schedule: July 30, 2025 - September 24, 2025 (July 30 - September 24, 2025)
  • Application Deadline: Tuesday, June 17, 2025 (June 17, 2025)
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