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Students enrolled in the Krannert School of Management and this Data Mine cohort will develop their business acumen as well as the ability to make a strong case for actions based on data. Participants will learn to define business problems using data science tools, analyze data to identify alternative solutions and model the value of alternative business decisions and courses of action. Corporate partners who are current or target employers of Krannert students will provide students with data, coaching and instruction, project management support and work with and recruit students for internships and permanent employment.

Additional information can be found at datamine.purdue.edu/Krannert.

Eligibility

Open to Krannert School of Management students 

Residential Component

  • Incoming First-Year Students from this learning community must reside in Hillenbrand Hall
  • A signed housing contract is required to apply to this learning community.
  • 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

Duration

Full Academic Year

Associated Classes

Fall

  • MGMT 28800 (3 credits) Programming For Business Applications
  • MGMT 29000 (1 credit) Data Mine Experience I
  • STAT 19000, 29000, 39000, or 49000 (1 credit) The Data Mine I or III or V or VII
  • Note: The Data Experience courses will include projects sponsored by a company or that are part of a research engagement.

Spring

  • MGMT 29000 (2 credits) Data Mine Experience 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 datamine.purdue.edu/Krannert.

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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