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Students in The Data Mine - Statistics Living Learning Community will be a combination of upperclass (sophomore, junior, senior) undergraduates, studying some advanced topics from Data Science and Statistics in addition to incoming students interested in statistics. The upper division students will participate in a new course (in the fall semester) co-coordinated by faculty from Biology, Physics, and Statistics, to be called "Distinguishing good from bad science through data analysis: A Multidisciplinary Investigation for Sophomore/Junior/Senior Undergrads."  Incoming students will take an exclusive seminar course about statistics both semesters.  Students will take an introductory graduate-level course in Data Science and Statistics in the spring semester, which is appropriate for all students considering careers in the data sciences, or graduate study.

Additional information can be found at


Incoming first-year students

  • Any incoming students interested in statistics

Current students

  • Intended for Sophomores, Juniors, and Seniors majoring in any field of science or engineering.
  • Prerequisites: A semester course in Statistics, Course series (two or more semesters) in at least two of the following fields: Biology, Chemistry, Physics, EAPS.
  • The course is likely to be approved to meet a lab module requirement for majors in Biological Sciences.

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


Full Academic Year

Associated Classes

Incoming Students


  • STAT 19000 (1 credit; section 001: CRN 16907) First Year Statistics Seminar
  • STAT 19000 (1 credit) The Data Mine I


  • Statistics course to be determined
  • STAT 19000 (1 credit) The Data Mine II

Current Students


  • STAT 49000 (3 credits; section 002: CRN 20417) Data Science: Good Versus Bad
  • STAT 19000, 29000, 39000, or 49000 (1 credit; 5 sections available) The Data Mine I or III or V or VII


  • STAT 598Z (3 credits) Introduction To Statistical Computing
  • STAT 19000, 29000, 39000, or 49000 (1 credit) 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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