M.S. in Health Informatics

Transforming Healthcare Through Information and Information Technology

Our Master’s track in Health Informatics applies information science and information technology in the service of better healthcare. 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 science and technology: Students study statistical methods, data management, data mining and natural language processing, informatics standards and technology infrastructure.
  • Health and healthcare: Students learn about domestic and global healthcare, shadow physicians and visit hospitals.
  • Social and behavioral sciences: 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 an innovative blend of healthcare system knowledge and key technical skills. Students study cutting-edge topics in healthcare such as big data, data mining, and analytics, culminating in a hands-on capstone project.

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, quality assessment and more. Many alumni pursue doctoral studies.

Full-time students can complete the health informatics curriculum in 12 months, and part-time students in 18-24 months.

Research Projects

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

FileInforming, 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

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

Applying to the Health Informatics Program

One-Year Sample Course Sequence

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

Fall Sample Course Sequence (course load = 14 credits)
Course TitleCredit HoursCourse Type
Introduction to Health Informatics3Regular
Research Methods in Health Informatics3Regular
Healthcare Organization and Delivery3Regular
Master's Project I & Professional Development1Regular
Biostatistics I with R Lab* 4Regular
Introduction to Biostatistics with Stata Lab*4Regular

*Please choose either Biostatistics I or Introduction to Biostatistics. 

Spring Sample Course Sequence (course load = 11 credits)
Course TitleCredit HoursCourse Type
Health Information Standards and Interoperability3Regular
Master's Project II2Regular
Health Behavior and Consumer Informatics3Elective
Artificial Intelligence in Medicine3Elective
Summer Sample Course Sequence (course load = 9 credits)
Course TitleCredit HoursCourse Type
Clinical Informatics3Regular
Data Management in Healthcare (SQL) 3Regular
Master's Project III3Regular

Two-Year Sample Course Sequence

Please find a sample course schedule for the M.S. in Health Informatics & Data Science part-time track below. Students need a minimum of 34 credits to graduate.
Fall Year One Sample Course Sequence (course load 7 credits)
Course TitleCredit HoursCourse Type
Introduction to Health Informatics3Regular
Biostatistics I with R Lab*4Regular
Introduction to Biostatistics with Stata Lab* 4Regular

*Please choose either Biostatistics I or Introduction to Biostatistics. 

Fall Year Two Sample Course Sequence (course load = 8 credits)
Course TitleCredit HoursCourse Type
Research Methods in Health Informatics3Regular
Healthcare Organization and Delivery3Regular
Master's Project II2Regular
Spring Year One Sample Course Sequence (course load = 6 credits)
Course TitleCredit HoursCourse Type
Health Information Standards and Interoperability3Regular
Health Behavior and Consumer Informatics3Elective
Artificial Intelligence in Medicine3Elective
Spring Year Two Sample Course Sequence (course load = 6 credits)
Course TitleCredit HoursCourse Type
Master's Project III3Regular
Health Behavior and Consumer Informatics3Elective
Artificial Intelligence in Medicine3Elective
Summer Year One Sample Course Sequence (course load = 7 credits)
Course TitleCredit HoursCourse Type
Clinical Informatics3Regular
Data Management in Healthcare (SQL) 3Regular
Master's Project I1Regular
(number of credits in parenthesis)

Fall Term

Spring Term

Summer Term