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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

 

  • Required. The location of learning community housing will be determined based on the incoming size and needs of the learning community. 
  • A signed housing contract is required to apply to this learning community. Once a housing contract is completed, you will indicate your learning community housing preference within the learning community application. Applications received by the priority deadline will be considered first. 
  • If you want to be placed with a preferred roommate and be admitted to a learning community with a required residential component, both you and your roommate must apply (and be accepted) to the same learning community. Students admitted to learning communities with a required residential component cannot be paired with students admitted to learning communities with an optional residential component
  • For specific question regarding learning communities, email learningcommunities@purdue.edu 
  • Completing a housing contract is a separate process from applying to a learning community. If you have questions about housing, contact University Residences (https://www.housing.purdue.edu/) at housing@purdue.edu.

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  HILL 1301 3rd Street, West Lafayette, IN 47906 - (765) 494-2020, learningcommunities@purdue.edu

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