MinneMUDAC 2025

Student Data Science Challenge

Main Event: April 5th, 2025, at University of Minnesota, Twin Cities


Register Now

MinneMUDAC Student Data Challenge returns in 2025!

Announcing the sixth edition of this experiential learning event inviting teams of graduate and undergraduate students to explore real-world data while enhancing and showcasing their skills. This month-long challenge (plus a week for spring break) culminates at the main event on April 5th, 2025, at the University of Minnesota, Twin Cities.

Join us for this unique collaboration between students, their academic advisors, and professionals from the community. Co-produced by MinneAnalytics, the Data Science Initiative at the University of Minnesota, and the Midwest Undergraduate Data Analytics Competition (MUDAC). We are proud to announce Big Brothers Big Sisters (BBBS) Twin Cities as this year’s client.

How It Works

Student teams have one month (plus an extra week to account for spring break) to analyze data before presenting their findings to judges from the analytics community at the main event at the University of Minnesota, Twin Cities. This year’s data and challenge question will be announced by March 1. Team registration is open now at this link.

200 students from colleges and universities across the Midwest and beyond participated at MinneMUDAC 2023. Watch student presentations from that event here.


Competition Guidelines

Who is invited?

MinneMUDAC is open to:

  • Students: Undergraduate and graduate students welcome. Please note that you must enter the team name and name/email of a faculty or staff advisor to register. See team guidelines below.
  • Faculty/Staff Advisors: Each team requires a faculty or staff advisor to provide guidance throughout the challenge. One advisor may advise up to three student teams. Advisors assisting more than one team must register for each team.
  • Judges/Mentors: Share your experience with the next generation of analytics professionals. Industry professionals who would like to judge and provide mentorship may register by selecting the “Judge/Mentor” ticket option.

High school teams may participate, but please contact dan@minneanalytics.org before registering.

Team Guidelines

Student teams must meet the following guidelines:

  • Each team requires a faculty or staff advisor to register as well as provide support throughout the competition.
  • Teams are limited to five students and one faculty or staff advisor.
  • Colleges and universities outside of Minnesota are encouraged to participate.
  • MinneAnalytics is able to provide Friday night accommodations for teams traveling two hours or more; however, the number of rooms available is limited. The team faculty advisor must request accommodations during initial registration.
  • More than one team from the same college or university may participate. Individual students may only join one team.
  • There is a limit to three teams from the same college department.
  • Blended teams of students with different majors and skill-sets are encouraged.
Competition Divisions

Each student team competes in one of four divisions:

  • Graduate Division: For teams with advanced data management, data programming, and statistical/analytic skills to support predictive modeling, including at least one graduate student. Any team with one or more Graduate students will automatically be in the Graduate division.
  • Undergraduate Division: For undergraduate teams with advanced data management, data programming, and statistical/analytic skills to support predictive modeling.
  • Novice Division: For students early in their studies who have limited experience and have novice to intermediate data management, data programming and statistical/analytic skills. Any team with Freshmen and Sophomores will be in the Novice division. Any team whose school’s data science program is less than two years old will be in the Novice division.

Division level is chosen by the team’s faculty or staff advisor during registration.

High school teams may participate in the Novice Division. Contact dan@minneanalytics.org if your high school team is interested.

Presentation & Judging

Student teams will present their findings on April 5. During the first round (9 am-noon), teams have five minutes to present their model to a series of judging teams. Judges will also have the opportunity to ask questions of each team. Student teams should expect to pitch 4-6 times with each interaction lasting 7-12 minutes. After breaking for lunch, the finalists will present to all the judges.

Award Categories

Stay tuned for details about this year’s challenge and awards.

Volunteer as a Judge/Mentor

Participation from professionals from the analytics community is key to the success of the MinneMUDAC competition. Judges/Mentors are grouped into small teams of 3 or 4 (ideally with at business professional, a technologist, and an academic to create a blended mentoring teams). If you are a business professional that’s been pitched a presentation before, a technologist that understands computer science and/or math/stats, or an academic that regularly engages students, then you are qualified to be on a judging team. Register on the registration page by selecting the Judge/Mentor option.

Register here→

Note: competition guidelines, details, and timeline are still being finalized and are subject to change. Participants are expected to abide by the MinneAnalytics Code of Conduct.


Presented by

MinneAnalytics

Data Science Initiative at the University of Minnesota

MUDAC