Programs by Campus


Population Health Analytics

Richard M. Fairbanks School of Public Health

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(Please note that when conferring University Graduate School degrees, minors, certificates, and sub-plans, The University Graduate School’s staff use those requirements contained only in The University Graduate School Bulletin.)



Doctoral Minor in Population Heath Analytics

The IU Richard M. Fairbanks School of Public Health offers a PhD minor in Population Health Analytics that prepares doctoral students to analyze patterns and trends in large data sets in the context of population health (e.g., health services research, public health). Students will learn both the theories and methods needed to be successful in the conduct of research across the health data sciences. Skills and methods taught in this minor are highly sought by employers - including governmental research agencies as well as academic programs across the spectrum of higher education.

While graduate students can take a single course on data science within their department to grasp the main concepts, one course is not sufficient to develop a core competency in applying a broad range of analytic techniques to population health data sets. By combining a diverse set of related courses from multiple schools and departments, we offer a unique minor that adds value to the individual courses emerging across campus. When complete, students will be prepared for success in the population health sciences.

This minor is open to any doctoral student at IUPUI and not just those in the Fairbanks School of Public Health. Students who wish to obtain a doctoral minor from the IU Richard M. Fairbanks School of Public Health must earn a grade of “B” or better in the coursework for the minor. Courses in which a grade of “B-” or lower is earned will not apply toward completion of the minor. Faculty in the departments of Epidemiology and Health Policy & Management will serve as minor advisors for students pursuing this doctoral minor.

Course Requirements

Required Courses

  • PBHL E647 Introduction to Population Health Analytics (3 credits)

Choose two courses from the following list:

  • INFO B573 Programming for Life Sciences (3 credits)
  • INFO B585 Biomedical Analytics  (3 credits)
  • INFO B643 Natural Language Processing for Biomedical Records and Reports (3 credits)
  • INFO H515 Introduction to Data Analytics (3 credits)
  • INFO H516 Applied Cloud Computing for Data Intensive Sciences (3 credits)
  • INFO H517 Visualization Design, Analysis, and Evaluation (3 credits)

Choose one course from the following list:

  • PBHL H628 Health Information Systems (3 credits)
  • PBHL E645 Information Exchange for Population Health (3 credits)

Academic Bulletins

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