Apply by August 17 to start learning early. Final application deadline is September 10.
The first lecture begins on September 17.
What is GCI World?

Scenes from the on-site Hackathon held at BRAC University
in July 2026.

Scenes from the on-site lecture held at Hanoi University
of Science and Technology in September 2025.
(The lecture is also offered online.)
The Global Consumer Intelligence (GCI) course, developed by the Matsuo-Iwasawa Laboratory at the University of Tokyo, provides a hands-on learning experience covering everything from the purpose of studying data science to the fundamentals of Python and machine learning, as well as the practical application of data in business settings. The course is designed to help students take their first steps toward becoming data scientists.
In 2025, the Matsuo-Iwasawa Laboratory launched a pilot English-language version of the course under the name “GCI Global”. Building on the experience and insights gained through this pilot initiative, the program was officially launched as “GCI World” with support from the Japan International Cooperation Agency (JICA).
The program received an overwhelming response. In April 2026, more than 25,000 students from over 2,900 universities across more than 120 countries and regions, including countries in Africa and ASEAN, applied to participate in the course.
Students who demonstrate exceptional performance may be selected as Outstanding Students and invited to participate in a special study tour to Japan, where they can experience Japan’s AI and innovation ecosystem firsthand.
Features
Skills to Shape Your Future

Acquire the the foundational skills needed to step into the world of data science.
Hands-On & Practical

Develop practical, industry-ready abilities by working on competitions and a real-world business project.
Free for All Students

Participate at no cost.
Learn from Anywhere

Join the entire program online from anywhere in the world.
Your Pathway to Growth

If selected as an Outstanding Student(*), you will gain access to a pathway designed to advance your career.
Exclusive Study Trip to Japan

Outstanding Students will be invited to an exclusive study trip featuring academic visits and presentations.
*Students who have previously taken the course are not eligible to be selected as outstanding students.
Recommended for…




Eligibility
You must:
Be enrolled as a student as of September 17th, 2026
You are currently enrolled in an accredited educational program. (This includes 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.
You either hold valid student status as of September 17th 2026, when the course begins, or are able to provide official proof that you will be enrolled by that time.
Be able to study independently and complete the course
You are able to study independently and are committed to completing the entire course.
Required Documentation

Proof of Student Status (as of September 17, 2026)
Please upload one official document verifying your student status.
Examples:
・Student ID
・Official enrollment certificate
*If you do not have a student ID…
Please upload an alternative documentation such as:
- Course registration confirmation
- Screenshot of your official university portal or verification email
- Admission letter specifying the start date
- Any other official document issued by your institution that verifies your status.
Am I eligible?

Eligible
- Working professionals who are enrolled as students (e.g., part-time students)
- Individuals who are students as of September 17, 2026, even if they graduate during the course period
- The guidance for the first lecture will be sent to those who have been accepted.
Not Eligible
- Continuing education students not enrolled in a degree program (e.g., course-only registrants, single-subject registrants)
- Students of language schools or other non-accredited institutions
- Working professionals who are not enrolled as students
Curriculum
Course Start Date: September 17, 2026
Application Deadline: August 17 (7:00UTC), 2026
*ID Registration Deadline: August 7 (7:00UTC), 2026
*Apply by August 17 to start learning early and get a head start before the course officially begins.
*The final Deadline is September 10 (14:00UTC), 2026
*To ensure you have sufficient time for pre-course preparation, we strongly recommend applying well before this deadline.
*For eligible applicants, a course acceptance notice and pre-course learning materials will be sent within 2–3 weeks after application.
| Weeks | Date | Contents |
|---|---|---|
| Week1 | September 17th | Introduction to Data Science |
| Week2 | September 24th | Manipulating Data Using Numpy |
| Week3 | October 1st | Cleaning Data Using Pandas |
| Week4 | October 8th | Visualizing Data Using Matplotlib |
| Week5 | October 15th | Supervised Learning |
| Week6 | October 22nd | Model Evaluation |
| Week7 | October 29th | Competition & Final Assignment Tutorial |
| Week8 | November 5th | Feature Engineering |
| Week9 | November 12th | Marketing and Data Science |
| Week10 | November 19th | SQL |
| Week11 | November 26th | Unsupervised Learning |
| Week12 | December 3rd | Time Series Analysis |
| Week13 | December 10th | Guest Session |
| Week14 | December 17th | Special Contents |
*Slight change of the contents may be made.
*We will offer supplemental sessions for absolute Python beginners prior to the main lectures.
*In addition to the lectures, the TAs (teaching assistants) will hold multiple online office hours.
Course overview
This is a three-month intensive program consisting of weekly 90–120 minute lectures, homework assignments, a competition and a final assignment.
Live Sessions

Every Thursday 11:00–12:30 (UTC)
(The first and final sessions are
scheduled for 120 minutes.)
You will be counted as present if you watch the live or archived lecture and submit the attendance form within one week.
Pre-Course Learning

Pre-Course Supplementary Sessions & Materials
(supplementary sessions for Python basics, pre-recorded video, slides, and practice files provided)
All pre-course learning materials will be provided prior to the main lectures.
Attendance to the pre-course sessions is not mandatory, but recommended for absolute Python beginners.
Technical Requirements

・Computer
・Stable Wi-Fi
Participation using only a smartphone is not recommended.
The course will use Zoom, Slack and Google services (Google Drive, Google Forms, Google Colaboratory, etc.).
Completion Requirements
Participants who complete the course will receive a certificate.
This course consists of approximately 22 teaching hours.
Please confirm with your home institution whether this course can be recognized as a credit-bearing course.
We will evaluate based on the following:

Attendance Survey
Submit the survey the required number of times

Homework
Submit the homework the required number of times

Final Assignment
Meet the required standards for course completion

Competition
Meet the required standards for course completion
How To Apply
You can apply in just 4 steps!

STEP 1
Register your email address
You can register using your institution’s email address.
Please enter the email address you normally use at your institution.
You will then receive an email containing a URL for the ID registration form.
Note: Not all school domains are eligible for registration. If your email is not accepted or you do not have a school-issued email address, please apply through the “For those without a school email address” option.


STEP 2
Create an Omnicampus ID
Create your ID for the course management system (Omnicampus).
You will need the following:
- A personal Gmail address
- A valid student ID or another document that can verify your enrollment
Your registration will be reviewed by the admin office before it is approved. Once approved, you will receive a confirmation email sent to your Gmail address. You must attach an image of a valid student ID. If it is not attached, you will not be able to create an account on Omnicampus.


STEP 3
Log in to Omnicampus
Please check the email you received.
The message will include:
- Login URL
- ID
- Password
Follow the instructions to log in to Omnicampus.


STEP 4
Apply to GCI World
After logging in, you will see a list of available courses on the homepage. Select “GCI World 2026 September”.
*Students who have previously taken the course are not eligible to be selected as outstanding students.

