Students
Tuition Fee
Not Available
Start Date
2026-04-08
Medium of studying
Not Available
Duration
3 months
Details
Program Details
Degree
Courses
Major
Business Management | Marketing | Data Science
Area of study
Business and Administration | Information and Communication Technologies
Course Language
English
Intakes
Program start dateApplication deadline
2026-04-08-
About Program

Program Overview


Global Consumer Intelligence (GCI) Course

The Research and Innovation Directorate (RID) is pleased to announce the Global Consumer Intelligence (GCI) course, offered by the Matsuo-Iwasawa Lab at the University of Tokyo. This course provides a comprehensive, hands-on learning experience covering the full spectrum from "the purpose of studying data science" to "Python and machine learning fundamentals," and "practical data application in business settings." The course is thoughtfully designed to equip students with the foundational knowledge and practical skills required to take their first steps as data scientists.


Course Structure

The GCI course is a three-month intensive programme comprising weekly 90–120 minute lectures, structured homework assignments, a competition, and a final capstone assignment.


Features

  • Acquire the foundational skills needed to step into the world of data science.
  • Develop practical, industry-ready abilities by working on competitions and a real-world business project.
  • Gain access to a pathway designed to advance your career.

Recommended for

  • AI and Data Science Beginners
  • Career and Growth Seekers
  • Business-Oriented learners
  • Future Entrepreneurs

Eligibility

To be eligible for the GCI course, applicants must:


  • Be enrolled as a student as of April 8, 2026
  • Be currently enrolled in an accredited educational program, including doctoral, master's, bachelor's, associate-level programs, technical or vocational programs, or secondary education such as high school or middle school.
  • Non-degree research students are eligible only if they hold a valid student ID issued by a university or equivalent institution.
  • Be able to study independently and complete the course.

Important Dates

  • Course Start Date: April 8, 2026
  • Recommended Application Deadline: March 30, 2026 (14:00UTC)
  • Final application deadline: April 2, 2026 (14:00UTC)

Course Details

For eligible applicants, a course acceptance notice and pre-course learning materials will be sent within 2–3 weeks after application.


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