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.
Discover the Health Data Science minor
Eligibility and application procedure
- Students must complete at least 9 credit hours of the minor through the IU Indianapolis campus.
- Students enrolled in baccalaureate programs at Indiana University who are in good academic standing may pursue the minor in health data science.
- Students must declare their intention to receive a minor by completing an application. Students may also contact their undergraduate academic advisor at 317-278-0753 for the application or if they have questions. This application should be completed at the same time the student completes an application for graduation for the baccalaureate degree.
- 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 four courses for 12 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 300 counts as a substitute for this class)
- 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)
Choose one elective course for 3 credits (with minimum grade of “C” or better required):
- PBHL-B 352 Fundamentals of Data management in R (3 credits) – offered fall only
- PBHL-B 481 Introduction to Biostatistical Computing (3 credits) – Prerequisite: PBHL-B 275
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.
Ready to get started?
Students must declare their intention to receive a minor by completing the application for minor form.