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Health Informatics

Transforming Healthcare Through Data and Information Technology

Our Master’s track in Health Informatics is focused on the application of information technology and data science in healthcare delivery. We study, develop, and improve healthcare information technologies. To apply these information technologies effectively, we also study human and organizational behavior.

What is Health Informatics?

Core Training

Our core curriculum covers three domains:

  • Information technology and data science: Students study statistical methods, machine learning, data management, and informatics standards and technology infrastructure.
  • Health and healthcare: Students learn about domestic and global healthcare, shadow physicians and visit hospitals.
  • Human and organizational behavior: Students cover human factors, human-computer interaction and diffusion of innovation to learn how to position information systems for success.

Health Informatics Venn Diagram

Innovation

Our track offers innovative key informatics skills blended with healthcare system knowledge. Students study cutting-edge topics in health informatics such as statistical and machine learning, data management, and consumer informatics, culminating in a hands-on capstone project with clients from our industry partners.

Collaboration is at the core of our track, with students and faculty from a range of fields, working with a wide array of collaborating NYC institutes. This diversity creates a unique learning environment. To get a sense of our culture, please take a look at our Admissions Information.

Our alumni hold positions in data and policy analysis, health information technology, process improvement, consulting, and more at healthcare institutions and startups. Many alumni pursue doctoral studies.

Students can complete the health informatics curriculum in 12 months.

Research Projects

File Developing a mobile health application to support heart failure symptom monitoring

File Informing, reassuring or alarming? Balancing patient needs in the development of a post-surgical symptom reporting system in cancer

File Methods for integrating EHRs, social determinants of health & built environment data for patient-centered research

File Should parents see teens' medical records? Answers change when people are prompted to think about teen-doctor communication

Prerequisites for Admission

Information Sessions

Program Director

Yiye Zhang, Ph.D., M.S.

(number of credits in parenthesis)

Fall Term

Spring Term

Summer Term

Sample Course Sequence

Please find a sample course schedule for the M.S. in Health Informatics track below. Students need a minimum of 34 credits to graduate. 

*All courses and sequences are subject to change. 

Fall Sample Course Sequence (course load = 14 credits)

*Please choose either Biostatistics I or Introduction to Biostatistics.
Course TitleCredit HoursCourse Type
Introduction to Health Informatics3Required
Research Methods in Health Informatics3Required
Healthcare Organization and Delivery3Required
Master's Project I & Professional Development1Required
Biostatistics I with R Lab* 4Required
Introduction to Biostatistics with Stata Lab*4Required

Spring Sample Course Sequence (course load = 11 credits)

Course TitleCredit HoursCourse Type
Health Information Standards and Interoperability3Required
Master's Project II2Required
Health Behavior and Consumer Informatics3Elective
Artificial Intelligence in Medicine3Elective

Summer Sample Course Sequence (course load = 9 credits)

Course TitleCredit HoursCourse Type
Clinical Informatics3Required
Data Management in Healthcare (SQL) 3Required
Master's Project III3Required