What is GCI World?
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 by Matsuo-Iwasawa Lab in the University of Tokyo offers a hands-on learning experience that covers everything from “the purpose of studying data science” to “Python and machine learning fundamentals” and “practical data application in business settings“. The course is designed to prepare students to take their first steps as data scientists. The Matsuo-Iwasawa Lab translated it into English and launched it worldwide under the name “GCI Global”. The launch of this course received a tremendous response. In 2025, a total of 7,700+ students from 430+ universities in 30+ countries around the world including Africa and ASEAN applied to take the course.
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.
*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 April 8, 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 April 8 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 April 8, 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 April 8, 2026, even if they graduate during the course period
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: April 8, 2026
Recommended Application Deadline: March 5 (07:00GMT), 2026
*ID Registration Deadline: March 2 (07:00GMT), 2026
*The final application deadline is scheduled for April 2 (14:00GMT). However, 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 | April 8th | Introduction to Data Science |
| Week2 | April 15th | Manipulating Data Using Numpy |
| Week3 | April 22th | Cleaning Data Using Pandas |
| Week4 | April 29th | Visualizing Data Using Matplotlib |
| Week5 | May 6th | Supervised Learning |
| Week6 | May 13th | Model Evaluation |
| Week7 | May 20th | Competition & Final Assignment Tutorial |
| Week8 | May 27th | Feature Engineering |
| Week9 | June 3rd | Marketing and Data Science |
| Week10 | June 10th | SQL |
| Week11 | June 17th | Unsupervised Learning |
| Week12 | June 24th | Time Series Analysis |
| Week13 | July 1st | Guest Session |
| Week14 | July 8th | 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 Wednesday 11:00–12:30 (GTM)
(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.
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 school-issued 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.
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
After logging in, you will see a list of available courses on the homepage. Select “GCI World 2026 April”.
*Students who have previously taken the course are not eligible to be selected as outstanding students.