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Students in The Data Mine - Statistics Living Learning Community will be a combination of junior and 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 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.


Incoming first-year students

  • Any incoming students interested in statistics

Current students

  • Intended for 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

  • 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


  • STAT 19000 1 credit per semester -- The Data Mine I 
  • (First-year students only) Fall: STAT 19000 1 credit -- Introduction to Statistics
  • (Upper division students only) new 3 credit course to be called "Distinguishing good from bad science through data analysis: A Multidisciplinary Investigation for Junior/Senior Undergrads"


  • STAT 19000 1 credit per semester -- The Data Mine II
  • (First-year students only) to be determined seminar course
  • (Upper division students only) STAT 59800Z -- 3 credit course "Introduction to Computing for Statisticians"

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.

Learning Communities ERHT 1275 1st Street, West Lafayette, IN 47906 - (765) 494-5785 or (765) 494-8571,

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