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


  • Students must complete at least 9 credit hours of the minor through the IU Fort Wayne campus.
  • Students enrolled in baccalaureate programs at Indiana University who are in good academic standing may pursue the health data science minor.
  • Public health students majoring in health data science are not eligible for the health data science minor.
  • 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-B 275 Probability Without Tears and Calculus (3 credits)
  • PBHL-B 304 Biostatistics for Health Data Scientists: A Computational Approach (3 credits) – Prerequisite: MATH-M 118 or higher
  • PBHL-B 384 Classical Biostatistical Regression Methods (3 credits) – Prerequisites: PBHL-B 275 and PBHL-B 304 or PBHL-B 302 or PBHL-B 300 or PBHL-B 300 equivalent
  • PBHL-B 420 Introduction to Biostatistical Learning (3 credits) – Prerequisites: Linear Algebra and PBHL-B 304 or PBHL-B 300 (or equivalent)
  • PBHL-B 352 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-B 285 Classical Biostatistical Regression Methods (3 credits)
  • PBHL-B 385 Contemporary Biostatistical Regression Methods (3 credits)
  • PBHL-B 420 Introduction to Biostatistical Learning (3 credits)
  • PBHL-B 490 Advanced Biostatistical Computing (3 credits)

Required courses

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

  • PBHL-B 275 Probability without Tears and Calculus (3 credits)
  • PBHL-B 280 Biostatistics for Health Data Scientists: A Computational Approach (3 credits) – course number has been updated to PBHL-B 304
  • PBHL-B 481 Introduction to Biostatistical Computing (3 credits)

Elective courses

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

  • PBHL-B 285 Classical Biostatistical Regression Methods (3 credits) – Course number has been updated to PBHL-B 384
  • PBHL-B 385 Contemporary Biostatistical Regression Methods (3 credits)
  • PBHL-B 420 Introduction to Biostatistical Learning (3 credits)
  • PBHL-B 490 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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Are you ready to take your degree to the next level with an undergraduate minor from the Fairbanks School of Public Health?

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