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This cohort of The Data Mine provides training for students at all levels to solve real-world problems that lie at the intersection of Actuarial Science and Data Science. A wide variety of data science techniques will be combined with practical application. Special attention will be paid to education on business and data ethics. Students will learn to deal with large amounts of unstructured data. During the first semester, students will work in groups to complete a mortality and lapse study using data from a life insurance company. During the second semester, students will use publicly available data to model and price financial derivatives. Students will apply techniques from courses to real-world data using data analytic methods and tools to complete research.

Eligibility

  • Actuarial science majors 

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

Duration

  • Fall and Spring semesters

Associated Classes

  • Fall 
    • (Upper division students only) STAT/MA 41600 – All members of The Data Mine take this course as a cohort
    • STAT/MA 49000 1 credit seminar to create a mortality and lapse study
    • (First year students only) STAT/MA 17000 2 credits - Introduction to Actuarial Science
    • STAT 19000 1 credit -- The Data Mine I
  • Spring 
    • (Upper division students only) STAT 41700 – All members of The Data Mine take this course as a cohort
    • (Upper division students only) STAT 47300 – All members of The Data Mine take this course as a cohort
    • STAT/MA 49000 1 credit seminar entitled Data Validation for Actuarial Science
    • STAT/MA 49000 1 credit seminar entitled Ethics of Data Science
    • STAT 19000 1 credit -- The Data Mine II

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, learningcommunities@purdue.edu

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