Hackathon format & key facts
Organized detailsOverview
Maasai Mara University is accepting applications for a four-day Regional Data Science Hackathon on 26–29 October 2026, focused on solving a real-world machine-learning challenge with real datasets.
Complete hackathon details
Participants work in multidisciplinary teams with trainers and mentors on data preparation, machine-learning model development, evaluation and solution presentation. The university states that participants must commute to the venue each day and that travel and accommodation will not be covered. Successful applicants are expected to be notified by 4 October 2026.
Eligibility requirements
Applicants must be current undergraduate or postgraduate university students or young professionals, have an interest in data science, AI, machine learning or related fields, have basic programming experience, attend all four days, commute daily, and complete pre-hackathon preparation activities.
Tips for this hackathon
Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.
- Read the rules, eligibility, judging criteria, required technologies and intellectual-property terms before forming your submission plan.
- Build a complementary team early and assign product, engineering, design, research and presentation responsibilities clearly.
- Optimize for the published judging rubric: demonstrate a real problem, working solution, measurable impact and a concise live demo.
- Prepare the repository, pitch deck, demo video and submission links before the final hours so upload or platform problems do not invalidate the entry.
- Check whether travel, finalist presentations, team-size limits or mandatory attendance apply before committing.
Verification notes
Verified against the Maasai Mara University event page and the linked university-created Google application form. The organizer states successful applicants will be notified by 4 Oct but does not state an application cutoff on the inspected sources, so the deadline remains null.
Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
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