The Curiosity Cup- Global SAS Student Competition
SAS
📌 About the Event
The Curiosity Cup is a global student competition organized by SAS that challenges teams to explore real-world questions through data analytics. Teams use SAS software to prepare and analyze publicly available data, then present their findings in a research paper and, if selected as finalists, a video presentation. Participants can explore topics across business and economics, health, science and engineering, and culture, lifestyle and entertainment.
ℹ️ Event Details
- Type: Student Analytics Competition
- Mode: Online
- Team Size: 2–4 students, accompanied by one faculty advisor
- Competition Focus: Data analytics, statistical analysis, data visualization and research
- Themes: Business & Economy; Health, Science & Engineering; Culture, Lifestyle & Entertainment
📅 Important Dates
- Registration Opens: 1 December 2026
- Registration Deadline: 31 January 2027
- Paper Submission Period: 15 December 2026 – 21 February 2027
- Finalist Notification: On or around 5 March 2027
- Video Presentation Deadline: 22 March 2027
- Winner Announcement: Around 15 April 2027
🎯 Eligibility & Rules
- Teams select their own analytics topic and analytical questions.
- Datasets must be publicly available, and entries must include a link to the selected dataset.
- Teams must use eligible SAS software; Python and R are also permitted through SAS Viya Workbench for Learners, with SAS use encouraged.
- First-round entries require a 2–5-page research paper using the official template.
- Up to 15 teams will be selected for the second round and required to submit a video presentation.
🏆 Benefits for Participants
- Each student on a winning team can choose an Apple iPad (approx. US $449) or Beats Studio Pro wireless headphones (approx. US $349), subject to availability.
- Winning and runner-up teams receive 12 months of access to a SAS content subscription of their choice.
- All finalist teams receive a SAS digital badge recognizing finalist status.
- Gain experience in data preparation, analytics, visualization and research presentation.