
If you're passionate about machine learning, data science, and solving real-world data challenges, the Data Track of the Pardis Technology Olympics 2026 is designed for you.
The competition consists of two stages. Teams first compete in the Online Qualifier, where they tackle a real-world data science challenge. The highest-performing teams will then advance to the Onsite Final, where participants from different countries will compete to develop the best solution for a new challenge.
Participants are free to use any programming language, machine learning framework, or data science library to build their solutions.
📍 Online Qualifier: Friday, September 11, 2026
📍 Onsite Final: Thursday, October 22, 2026
Venue: Pardis Technology Park, Tehran, Iran
📍 Closing Ceremony: Thursday, October 22, 2026
The organizing committee will support qualified international teams by providing:
The Top 5 teams will receive:
ash prizes are awarded upon participation in the onsite final.
Competitors: 0
| Time To Start | Start Time | Duration | |
|---|---|---|---|
| Data Olympic Qualifier | 59 days | 9/11/2026, 16:00 GMT+3:30 | 3:00:00 |
The Online Qualifier will be held on Friday, September 11, 2026.
Teams will work on a real-world data science challenge, and based on their performance, the top 10 teams will qualify for the onsite final.
Teams that qualify for the onsite final will be invited to an online webinar before the final round.
During this session, the organizing committee will provide important information about the onsite competition, travel arrangements, event schedule, submission process, evaluation criteria, and other logistical details to ensure that all finalists are fully prepared for the onsite event.
The Onsite Final will be held onsite on Thursday, October 22, 2026, at Pardis Technology Park, Tehran, Iran.
The participation costs for the Top 5 teams in the onsite final will be covered by the organizing committee.
The final event schedule includes:
The Closing Ceremony and Award Presentation will be held on Thursday, October 22, 2026, at Pardis Technology Park, Tehran, Iran, alongside the closing ceremonies of the other competitions in the Pardis Technology Olympics 2026.
In the Data Track, participants tackle real-world data science and machine learning challenges that require analytical thinking, data exploration, feature engineering, model development, and performance optimization.
The goal of this track is to evaluate participants' ability to analyze datasets, build effective predictive models, and develop practical AI solutions for real-world problems.
Participants are free to use any programming language, machine learning framework, or data science library to develop their solutions, including Python, R, TensorFlow, PyTorch, Scikit-learn, XGBoost, LightGBM, and other commonly used tools.