Health Informatics

Northeastern’s interdisciplinary Master of Science in Health Informatics program was the first master’s program in the field. Our students graduate with the knowledge of how technology, people, health, and the healthcare system interrelate; the ability to use technology and information management to improve healthcare delivery and outcomes; and the skills to communicate effectively among healthcare practitioners, administrators, and information technology professionals.

The MS in Health Informatics program is a collaboration between the Bouvé College of Health Sciences and the Khoury College of Computer Sciences. The program offers a flexibly designed curriculum for both part-time and full-time students, combining core courses in healthcare systems and management with elective courses that span vital topics across the industry. Students are able to choose classes based on their interests and backgrounds; students from the healthcare industry are introduced to new technologies. An advisory board of industry professionals provides expert guidance in the program’s development and ongoing curricular advancements—the program remains at the leading edge of advances in the industry.

This interdisciplinary master’s degree program is designed for healthcare professionals with limited computing and information technology experience, as well as IT professionals with little knowledge of healthcare environments.

• The Personal Health Informatics Concentration includes courses such as Creation and Application of Medical Knowledge, Computer/Human Interaction, Biostatistics in Public Health, and completion of a Thesis or Capstone Project.
• Health Informatics (Without Concentration) requires courses associated with Business Management, Health Informatics, Technical (such as Biostatistics and Public Health), and a Capstone Project.
• The Health Informatics Analytics Concentration is offered in conjunction with Northeastern’s College of Engineering, offering electives such as Computational Modeling and Structured Data Analytics for Industrial Engineering, Healthcare Systems Modeling and Analysis, and Data Mining in Engineering. Required coursework include courses associated with Business Management, Health Informatics courses, Technical, and a Capstone Project.

More Details