Master of Science Health Informatics

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.

Degree Requirements

Program Core Skills

Students will be able to:

Fully understand the process for creating data-driven systems using digital technology to address health problems, both individually and at a population health level
Develop hands-on skills in AI and data science that are applicable to the healthcare space
Evaluate the quality and effectiveness of health informatics technologies for specific applications
Differentiate between various types of emerging technologies (machine learning, deep learning, robotics, wearables, mHealth, smart homes, virtual reality, etc.) and understand their use in healthcare
Understand the data management and data engineering aspects necessary to create systems to support healthcare organizations
Design, create, and deploy new health technologies in the real world

Career Outcomes

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:

AI Health Tech Entrepreneur
AI Specialist (Health-Focused)
Clinical Informatics Analyst
Clinical Research Data Manager
Clinical Decision Support Specialist
Data Scientist (Health-Focused)
Digital Health Specialist
Health Data Analyst
Health Informatics Consultant
Health IT Specialist
Healthcare Project Manager
Hospital Quality Improvement
Medical Device Product Manager
Nursing Informatics Specialist

View All Faculty

Casey Bennett
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.
Mahdi Pedram
Dr. Pedram focuses on developing embedded systems and machine learning models capable of detecting and predicting human behavior in real-time, namely smoking, physical activity, eating, and drinking. He builds technology, including novel wearable devices, to improve our understanding of lifestyle habits and make people’s lives easier and their health better.
Roselyne Tchoua
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.

School of Computing Research

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.”

Specializations

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.

Three professors with electronic around a table

photo by DePaul University/Jeff Carrion

AI and Health Care

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.

person using his laptop at a coffee shop

Online Learning

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.

Application Deadlines

Enrollment Quarter	Domestic Student Deadline	International Student Deadline
Fall	August 1	June 15
Winter	December 1	October 15
Spring	March 1	January 15
Summer	May 1	April 15

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Admission Process

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

Admission Events

Tuition & Financial Aid