Regional Data Science Hackathon 2026
2026-10-26 08:00 - 2026-10-29 17:00 (Africa/Nairobi) | Maasai Mara University, 861, Narok, 20500, Kenya
About the Hackathon
The DSHP Regional Hackathon is part of the Hack4dev programme, which aims to strengthen data science capacity through collaborative, practice-based learning.
Over four days, participants will work in multidisciplinary teams to solve a real-world machine-learning challenge using real datasets, supported by experienced trainers and mentors.
Participants will gain practical experience in:

Data preparation
Machine-learning model development
Model evaluation
Teamwork and collaboration
Presenting technical solutions

Who Can Apply?
Applications are open to university students and young professionals who:

Are currently enrolled at a university, undergraduate or postgraduate.
Have an interest in data science, artificial intelligence, machine learning or related disciplines.
Have basic programming experience; Python is advantageous but not mandatory.
Are enthusiastic about learning and teamwork.
Can attend the full four-day hackathon.
Can commute to and from the venue each day.
Understand that travel and accommodation costs will not be covered.
Are willing to complete the pre-hackathon preparation activities.

Programme

Date
Activity

26 October 2026
Welcome, introductions, challenge briefing and other formalities — half day

27 October 2026
Teams work on the challenge

28 October 2026
Teams work on the challenge

29 October 2026
Final team presentations, judging and closing

Awards & Recognition
Outstanding teams will be recognized for innovation, technical excellence, teamwork and problem-solving. Additional prizes or awards may be presented by the host institution or programme partners.
How to Apply
Applications are submitted through the Google Form: Application Form – Regional Data Science Hackathon 2026
The poster also has the QR code for the application form. scan for the application form
Successful applicants are to be notified by 4th October 2026 and will receive information about the programme, preparation materials and logistical arrangements.
