An annual, prestigious competition for undergraduate students in mathematics, consisting of a challenging six-hour exam with complex problems.
Mathematics | STEM
Putnam Competition
Share this Comp:
Facebook
Twitter
LinkedIn
WhatsApp

Contact Info
- Phone: Currently Unavailable
- Contact: putnam@maa.org
- Website
- Mathematical Association of America (MAA)
Follow this Comp on Social
Great For . . .
Helpful Articles
Maximizing Educational Impact
February 16, 2025
No Comments
Sponsorships Closing the STEM Gap
February 16, 2025
No Comments
The Power of Partnerships in Robotics Competitions
February 16, 2025
No Comments
About the competition
Comp Info
- Estimated Ann. Participants: 4000
- Cost: Free
- Estimated Time Commitment: Major
- Participant Format: Individual
- Event Format: Hybrid
- Competition Format: Exam
- Reach: International
- Event Size: Small
Participation Information
Students register through their universities and participate in a six-hour exam. The top individual scorers receive recognition as Putnam Fellows, and teams can win prizes for their institutions.
Open to undergraduate students enrolled in U.S. or Canadian institutions
$25,000 for 1st place team; $2,500 individual prizes; certificates and national recognition for mathematics excellence
Students register through their universities and participate in a six-hour exam. The top individual scorers receive recognition as Putnam Fellows, and teams can win prizes for their institutions.
1. Register through your institution. 2. Participate in the 6-hour exam. 3. Top scorers and teams receive awards.
Advanced math knowledge, problem sets
Based on problem-solving ability, mathematical accuracy, and creativity.
Related Competitions
Engineering | STEM
- Subjects: Computer Science | Data Analysis | Machine Learning
Engineering | STEM
- Subjects: Computer Science | Engineering | Programming
Engineering | STEM
- Subjects: Civic Engagement | Climate Change | Environmental Issues | Life Sciences | Research | Social Science
Engineering | STEM
- Subjects: Data Analysis | Finance | Machine Learning