This hackathons is only open to students. Double check the event page for more information as this may mean only those from a particular university/country are eligible.
Event Type
online
21
Participants
₹1,300
Prize Pool
1
Est. Projects
MSOC 2026 — MSTC Summer of Code (Data Science & Analytics Track) About the Program: MSOC (MSTC Summer of Code) is a guided learning-to-build program organized by the Microsoft Student Technical Club (MSTC), DA-IICT. Participants spend the initial weeks developing practical skills in Data Science and Applied AI before applying their knowledge in a structured, two-round hackathon. This track is designed for students who want to move beyond tutorials and build a complete data-driven project—from identifying a real-world problem to developing, documenting, and presenting a working solution. Track Details: Track: Data Science & Analytics. Team Size: 1–2 members. Mode: Online. What You'll Do: Receive a real-world problem statement. Build, document, and demonstrate a working data-driven solution. Receive evaluation and feedback from MSTC mentors and faculty. Who Should Participate? This track is open to anyone interested in Data Science or Generative AI, whether beginner or intermediate, who wants a structured opportunity to build their first real-world project instead of learning only through tutorials. Eligibility: Open to all current undergraduate and postgraduate students of DA-IICT. Open to students from all academic years and disciplines. No prior experience in Data Science, AI, or Machine Learning is required. Each participant may be part of only one team. Both team members (for teams of two) must register individually on Unstop before the registration deadline. Community Support: Join the official MSOC WhatsApp community for updates, announcements, and mentor support: Rules & Regulations: All work must be original and created specifically for MSOC 2026. Reused or previously submitted projects are not permitted. The use of open-source libraries, frameworks, pre-trained models, and AI coding tools is allowed, provided they are properly credited in the project README. Teams may seek guidance from MSTC mentors; however, all core development must be completed by the team members. All updates regarding submissions, deadlines, and clarifications will be communicated through the official MSOC WhatsApp community and Unstop. Participants are responsible for staying informed. The organizing committee reserves the right to modify timelines, problem statements, or evaluation criteria if required, with prior notice. Participants are expected to maintain professionalism in all interactions with mentors, judges, organizers, and fellow participants. The decisions of the judging panel and organizing committee shall be final and binding. Disqualification Criteria: A team will be disqualified if: The submitted project is plagiarized, copied, or substantially reused from an existing public project without proper disclosure. The GitHub repository is private, inaccessible, or unavailable during evaluation. The team misrepresents dataset sources or fabricates results. Any form of misconduct, including impersonation or submission tampering, is identified. The submission is made after the deadline without prior approved extension.
Judge Accessibility
Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10
Top signals
Organizer email available
Student-run event
Actively looking for judges
Organizers
Alex Johnson
alex@example.org
Jamie Rivera
jamie@example.org
Sam Chen
sam@example.org
Estimated Audience
Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech
Technical Focus
AI95%
Web80%
Mobile25%
Industries
Healthcare
Education
Climate
Technologies
Python
React
OpenAI
Why this estimate
• Hosted by a university
• Open to students
• MLH member event
Estimate inferred from event metadata, not actual attendee data.