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MinneMUDAC 2018: Student Data Science Challenge

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13625 Technology Drive

Eden Prairie, MN 55344

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MinneAnalytics is proud to host this third-annual analytics event inviting teams of graduates and undergraduates to explore real-world data while enhancing and showcasing their skills. Join us for this unique collaboration between students, their academic advisors, and analytics professionals from the community.

This year's challenge will focus on predicting voter turnout in the upcoming elections. Teams have several weeks to work on the questions, with the competition concluding on Nov. 3 in Eden Prairie, MN. Cash prizes are awarded to top teams in each division. View the 2018 Challenge Questions

Students

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

Share your experience with the next generation of analytics professionals. Industry professionals who would like to judge and provide mentorship should click "Register" and select the "Judge/Mentor" ticket option.


Team 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 covers room accommodations for all teams and their advisors traveling from outside the Minneapolis/St Paul seven county metropolitan area.
  • 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 both recommended and encouraged.

Competition Divisions

  • Open Division: For accomplished career professionals that may be adding a second advanced degree or enhancing their skill set, or elite teams that want to compete against the best.
  • Graduate Division: For teams with advanced data management, data programming, and statistical/analytic skills to support predictive modeling, including at least one graduate student.
  • 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.

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

The Awards

Analytic Acumen: Awarded to the team in each division with the most technically appropriate and accomplished team presentation.
Serendipitous Discovery: Awarded to the team in each division providing the most interesting, if unrelated, findings or insights.
Overall Prediction: Awarded to the teams in each division (excluding Novice Division) with the most accurate prediction.

The Analytic Acumen and Serendipitous Discovery winners will be chosen at the main event on Nov. 3. Finalists for the Overall Prediction award will be chosen on Nov. 3, and the winners will be announced following the Nov. 6 election.


Presented by MinneAnalytics and Midwest Undergraduate Data Analytics Competition (MUDAC). For more information, visit the event website: minneanalytics.org/minnemudac


PLEASE NOTE:

MinneAnalytics now requires a Driver's license or government issued photo ID for entrance at all events.

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Date and Time

Location

Optum

13625 Technology Drive

Eden Prairie, MN 55344

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