Minor in Health Data Science

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. After the completion of three core courses in probability, inference, and statistical computing (PBHL-B 275, PBHL-B 280, and PBHL-B 325), students will choose from multiple electives to fit their interests in the areas of advanced statistical computing, machine learning, and regression techniques.

Minor Requirements

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)
  • PBHL B481 Introduction to Biostatistical Computing (3 credits)

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)