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
  • 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.

  • David Ramsay

    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.

  • 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

smart watch and smart phone app

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.”

student with academic counselor 

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 QuarterDomestic Student DeadlineInternational Student Deadline
FallAugust 1June 15
WinterDecember 1October 15
SpringMarch 1January 15
SummerMay 1April 15

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