Health Data Science Minor

Discover the Health Data Science Minor

Health data science uses cutting edge technologies to gain insights in biomedical data. The minor in health data science will introduce students to the language of data in health applications so they are able to transform, visualize, analyze and interpret information in a modern data science pipeline, presenting fundamental concepts of biostatistics through the use of computing and simulation.

Eligibility


  1. Students enrolled in baccalaureate programs at Indiana University who are in good academic standing. 
  2. Public health students majoring in Health Data Science are not eligible for the Health Data Science minor.
  3. Students who successfully complete the requirements for the Health Data Science minor with a grade of “C” or better in all courses credited to the minor will have the minor conferred with their baccalaureate degree.

Minor requirements

Take five courses for 15 credits (with a minimum grade of “C” or better required):

  • PBHL B275 Probability Without Tears and Calculus (3 credits)
  • PBHL B304 Biostatistics for Health Data Scientists: A Computational Approach (3 credits) – Prerequisite: MATH M118 or higher
  • PBHL B384 Classical Biostatistical Regression Methods (3 credits) – Prerequisites: PBHL PBHL-B275 and PBHL-B304 or PBHL-B302 or PBHL-B300 or PBHL-B300 equivalent
  • PBHL B420 Introduction to Biostatistical Learning (3 credits) – Prerequisites: Linear Algebra and PBHL-B304 or PBHL-B300 (or equivalent)
  • PBHL B352 Fundamentals of Data management in R (3 credits) – offered fall only

Choose two elective courses for 6 credits (with minimum grade of "C" or better required):

  • PBHL B285 Classical Biostatistical Regression Methods (3 credits)
  • PBHL B385 Contemporary Biostatistical Regression Methods (3 credits)
  • PBHL B420 Introduction to Biostatistical Learning (3 credits)
  • PBHL B490 Advanced Biostatistical Computing (3 credits)

Required courses

Take three courses for 9 credits (with minimum grade of “C” or better required):

  • PBHL B275 Probability without Tears and Calculus (3 credits)
  • PBHL B280 Biostatistics for Health Data Scientists: A Computational Approach (3 credits) – course number has been updated to PBHL-B304
  • PBHL B481 Introduction to Biostatistical Computing (3 credits)

Elective courses

Choose two elective courses for 6 credits (with minimum grade of “C” or better required):

  • PBHL B285 Classical Biostatistical Regression Methods (3 credits) – Course number has been updated to PBHL-B384
  • PBHL B385 Contemporary Biostatistical Regression Methods (3 credits)
  • PBHL B420 Introduction to Biostatistical Learning (3 credits)
  • PBHL B490 Advanced Biostatistical Computing (3 credits)

Note: Please speak with a Fairbanks academic advisor about possible course substitutions to this old curriculum.

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Health Data Science Minor Curriculum

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