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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.
Our core curriculum covers three domains:
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.
Developing a mobile health application to support heart failure symptom monitoring
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.
Course Title | Credit Hours | Course Type |
---|---|---|
Introduction to Health Informatics | 3 | Required |
Research Methods in Health Informatics | 3 | Required |
Healthcare Organization and Delivery | 3 | Required |
Master's Project I & Professional Development | 1 | Required |
Biostatistics I with R Lab* | 4 | Required |
Introduction to Biostatistics with Stata Lab* | 4 | Required |
Course Title | Credit Hours | Course Type |
---|---|---|
Health Information Standards and Interoperability | 3 | Required |
Master's Project II | 2 | Required |
Health Behavior and Consumer Informatics | 3 | Elective |
Artificial Intelligence in Medicine | 3 | Elective |
Course Title | Credit Hours | Course Type |
---|---|---|
Clinical Informatics | 3 | Required |
Data Management in Healthcare (SQL) | 3 | Required |
Master's Project III | 3 | Required |