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This cohort of The Data Mine features a collaboration with Purdue Athletics. Students will have the opportunity to explore the use of data in modern sports. Students will work with members of the Athletic Department in the use of real data.

Purdue Athletics aspires to create a compressive Business Intelligence team that will drive decision-making for recruiting, ticketing, sponsorship, marketing, and communications. The Business Intelligence team will work with internal and external stakeholders across several departments. It will serve as an in-house agency to lead the use of data to make informed decisions. Students will conduct research, create visualizations, and automate processes, to maximize strategy. Students will have the opportunity to participate in strategy sessions with Purdue Athletics Staff.

Additional information can be found at


  • Open to all students with an interest in the intersection of sports and data

Residential Component

  • Students from this learning community must reside in Hillenbrand Hall
  • Information on this residence hall can be found here
  • Students who are required to reside in a different residence hall (e.g. due to the Honors College or athletics participation) or who do not sign a housing contract may not participate in this learning community
  • Your roommate in most cases will be a member of the learning community
  • Completing a housing contract is a separate process from applying for a learning community


  • Fall and Spring semesters

Associated Classes

Fall 2020

  • STAT 19000 (3 credits) Data Mine Sports Analytics I
  • STAT 19000, 29000, 39000, or 49000 (1 credit) The Data Mine I or III or V or VII

Spring 2021

  • STAT 19000 (3 credits) Data Mine Sports Analytics II
  • STAT 19000, 29000, 39000, or 49000 (1 credit) The Data Mine The Data Mine II or IV or VI or VIII

Additional information can be found at

Events and Activities Included:

  • Weekly dinners with LC participants
  • Tour of Purdue’s computational facilities
  • Social gatherings with LC members
  • Seminars by visiting speakers including practicing actuaries and data scientists
  • Meals with campus and community leaders
  • Game / recreation nights
  • Career and graduate school panels

Information above is subject to change. If you are placed in the LC, the associated courses will be on your schedule prior to you registering for the rest of your courses.

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