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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.

Additional information can be found at datamine.purdue.edu/actuarial-science.

Eligibility

  • Actuarial science majors 

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

Incoming Students

Fall Semester

  • STAT 49000 (1 credit) Data Validation for Actuarial Science
  • STAT 17000 (2 credits) Introduction To Actuarial Science
  • STAT 19000 (1 credit) The Data Mine I

Spring Semester

  • MA 37300 (3 credits) Financial Mathematics
  • PHIL 20800 (1 credit) seminar to be entitled Ethics of Data Science
  • STAT 19000 (1 credit) The Data Mine II

Current Students

Fall Semester

  • STAT 41600 (3 credits) Probability
  • STAT 49000 (1 credit) Data Validation for Actuarial Science
  • STAT 19000, 29000, 39000, or 49000 (1 credit) The Data Mine I or III or V or VII

Spring Semester

  • STAT 41700 (3 credits) Statistical Theory
  • STAT 47301 (3 credits) Introduction To Arbitrage-Free Pricing Of Financial Derivatives
  • PHIL 20800 (1 credit; first 8 weeks of spring semester) seminar to be entitled Ethics of Data Science
  • STAT 49000 (1 credit; second 8 weeks of spring semester) Applications of Data Science to Financial Economics
  • STAT 19000, 29000, 39000, or 49000 (1 credit) The Data Mine II or IV or VI or VIII

Additional information can be found at datamine.purdue.edu/actuarial-science.

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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