Training Program format & key facts
Organized detailsOverview
University of Tokyo's English-language GCI World course is open worldwide to eligible enrolled students for free online training in Python, data science and machine learning.
Complete training program details
The three-month course combines weekly live/recorded sessions, assignments, a competition and a final assignment. The curriculum includes Python, NumPy, Pandas, visualization, supervised and unsupervised learning, SQL, time series, marketing/data science and applied project work. Students meeting completion requirements receive a certificate. Exceptional performers may be selected as Outstanding Students and invited to a study tour in Japan.
Eligibility requirements
Applicants must be enrolled in an accredited educational program as of 17 September 2026, including doctoral, master's, bachelor's, associate, technical/vocational or secondary education. Non-degree research students need a valid institutional student ID. Applicants must provide proof of student status and be able to study independently and complete the course. Working professionals are eligible only if they are also enrolled students.
Tips for this training program
Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.
- Confirm learning outcomes, prerequisites, delivery schedule, assessment requirements and certificate conditions.
- Check whether the training is free, funded, reimbursed or requires a fee and whether attendance is mandatory for completion.
- Verify that the provider and certificate are relevant to your intended academic or professional use.
Verification notes
Verified on the current Matsuo-Iwasawa Laboratory page on 2026-09-08 UTC. The live page shows the previous 10 September deadline struck out and states the final deadline is 24 September 2026 at 07:00 UTC. The current primary page therefore controls over older announcements that still show the earlier date.
Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
Matsuo-Iwasawa Laboratory, The University of Tokyo ↗