The Health Informatics (HINF) graduate program is housed within the Institute for Health Informatics (IHI). The HINF graduate program is house within the Health Sciences. The program has a diverse faculty drawn from multiple departments and divisions throughout the University of Minnesota. The Director of Graduate Studies (DGS) is responsible for the ongoing operation of the program. The DGS reports to the IHI Director for all academic matters. The Graduate Program Coordinator and Graduate School provide support and assistance with admissions, student progress, and the granting of degrees.
There are three degrees offered through the Institute for Health Informatics. These consist of the Master of Health Informatics (MHI), Master of Science (MS), and Doctor of Philosophy (PhD). In addition to these three degrees, we also offer a dual degree PharmD/MHI and MD/MHI degree. Students currently pursuing a graduate degree interested in informatics can choose to pursue our minor in informatics.
The MHI program is designed to train individuals who are interested in using information technology to solve health care problems. The curriculum consists of 31 credits of coursework. Students take a sequence of core informatics courses and add electives to specialize their degree. MHI students have an average graduation time of 1.6 years or 5 semesters.
The MS program is for both health professionals and non-health professionals who are interested in seeking additional training in health informatics. The curriculum consists of 36 credits. Students take a sequence of core health informatics and biostatistics courses and then finish their degree with a master's thesis or additional coursework. MS students have an average graduation time of 2.3 years or 7 semesters.
The PhD program is designed for students seeking the highest level of advanced training in the area of health informatics. It is a degree where students apply their knowledge and skills to an original research project that they report in a doctoral thesis. Students take a sequence of core courses in health informatics, computing, and biostatistics, and electives in technical and health science areas, and pursue one of four tracks: Data Science and Informatics for Learning Health Systems; Clinical Informatics; Translational Bioinformatics; or Precision and Personalized Medicine (PPM) Informatics. Students pursuing the Data Science and Informatics for Learning Health Systems track are expected to complete the University’s Data Science MS degree en route to the PhD.
- Clinical Informatics Track
- Data Science & Informatics Track
- Precision & Personalized Medicine Track
- Translational Bioinformatics Track