Proactive Health Informatics Ph.D. Requirements
Students who graduate from the Proactive Health Informatics programs in the School of Informatics, Computing, and Engineering at Indiana University understand how to combine cutting edge, innovative technologies with the latest in data analytics to design, implement, and evaluate technologies to help people better understand, manage, and improve their health. Students increase their impact in their research community and the world by empowering patients outside of the clinical setting where people live, work, and play.
The Proactive Health Informatics Ph.D. programs consist of a rigorous course sequence that introduce students to the fundamentals of design, implementation, data analytics, and evaluation. Students choose to be part of the Design or Data cluster, selecting electives that fit their interests. Students tailor their degree with an emphasis on a particular health domain.
Download the current Ph.D. in Informatics handbook (PDF). We also recommend consulting the School of Informatics, Computing, and Engineering Bulletin 2017-2018 (use the tabs on the left) and the University Graduate School Bulletin 2016-2017 (use the tabs on the top and the left) for more detailed information about these requirements.
Our faculty are also happy to supervise students pursuing a Ph.D. in Computer Science who want to conduct research in Proactive Heath Informatics.
Core COURSES for Ph.D.
- I507: Introduction to Health Informatics
- I526: Applied Machine Learning
- I527: Mobile and Pervasive Design
- I530: Field Deployments
- I535: Privacy and Security of Health Information
In addition, students must take courses in methods (6 credits from a selection of both qualitative and quantitative courses), their cluster (9-Ph.D. credits of design or data-focussed courses) and health (9-Ph.D. credits). Ph.D. students have additional course and dissertation requirements.