CDM Students: FAQ | DePaul University: COVID-19 Updates and Guidance.
The DePaul's Master's in Health Informatics is designed to equip students with technical and hands-on experience for a world where artificial intelligence (AI) and digital technologies are increasingly being used to improve human health through data-driven approaches. This includes health applications within clinical settings as well as beyond the clinic in people's homes and everyday lives. The program will prepare students for a variety of careers, from health information management & Health IT to health-focused data science & analytics, as well careers focused on creating new digital therapeutics (DTx) and launching tech startups around novel innovations in digital health.
*Note: the program curriculum is designed both for those who wish to pursue technology-related careers as well as those with a clinical background wishing to upgrade their “tech skills”
For international students: this is a STEM-designated program, which can qualify you to extend your post-graduation stay in the United States.
Students will be able to:
94% of reporting program graduates were employed, continuing education, or not seeking employment within six months of graduation
Common positions for Health Informatics graduates include:
Dr. Bennett’s work focuses on artificial intelligence in healthcare, including the areas of robotics, human-robot interaction, machine learning, internet-of-things, clinical decision support, and personalized medicine. He has over 20 years’ experience in data science, machine learning, and analytics and was formerly a data scientist at several major healthcare organizations.
Dr. Ramsay studies how the design of ubiquitous tools alter our cognition, with an emphasis on patterns of daily attention. He combines high-quality hardware systems with cutting edge statistical modeling to measure, understand, and improve human experience. Dr. Ramsay earned his PhD from the MIT Media Lab, and is a Fulbright-winning researcher.
Dr. Tchoua’s interests have always gravitated around making seemingly inaccessible technology or unmanageable amounts of data more reachable. She joined the DePaul Center for Data Science to continue working in the fascinating space between data science and other science fields–including medicine–extracting insight from data using machine learning and natural language processing techniques.
DePaul treats cutting-edge, multidisciplinary, transformative research as integral to its delivery of first-class instruction. Assistant professor Casey Bennett’s work uses wearable technology and AI to provide healthcare “wherever you are.”
Students can choose from a wide variety of specializations by focusing their elective courses in areas across the health IT spectrum including health analytics, enterprise management, innovations in healthcare, and health information management.
DePaul University and Rosalind Franklin University of Science and Medicine are funding interdisciplinary faculty research projects bringing together AI, biomedical discovery and health care. Projects involving CDM School of Computing faculty include combining wearable sensors with GPS to prevent injury, and analyzing neurons in the brainstem to discover boundaries that control speech and swallowing.
This degree can be completed entirely online. One hundred percent of the program’s lectures—from audio and video to whiteboard writing and supplemental materials—are captured and available online.
The graduate application process involves completing an online application, sending in your transcripts and submitting any supplemental material (e.g., letters of recommendation, certifications, etc.). To learn more about your program specific requirements, visit our Graduate Admission page.
Admission Requirements
Contact Graduate Admission