Earn Your Online Master’s in Health Informatics & Analytics from Tufts School of Medicine

Harness the Power of Data to Improve Human Health

The online Master of Science in Health Informatics & Analytics program at the School of Medicine prepares healthcare, public health, data and computer science professionals with the knowledge and practical skills they need to improve the overall health of individuals and communities using health information technology.

Interdisciplinary Curriculum

The online MS in Health Informatics & Analytics is an interdisciplinary program that combines course work in healthcare technology, research, information management, and data science. You will develop a deep understanding of current health information technologies and advanced information systems, including artificial intelligence for health and electronic health records (EHR).

36-credit program | Specialize in health informatics or analytics | Complete in as few as 20 months

As a student, you will gain in-depth knowledge on how health data is collected, handled, and analyzed, and you will come out of the program knowing how to:

  • Navigate and manage information in health systems
  • Effectively identify, analyze, utilize, and communicate health information
  • Translate data into meaningful insights and solutions for healthcare organizations

Prepare for a Career in Health Data

Learn how our online Master of Science in Health Informatics & Analytics program can prepare you for a career as a lead informatician, business analyst, or data scientist at a health organization.

Program Tracks

Comprehensive in scope, the 36-credit program is designed to give you a solid foundation in the fields of health informatics and analytics before you further specialize through one of the following tracks:

Health Informatics Track

The health informatics track is designed for recent graduates and professionals with a healthcare or public health background. In this track, you will learn to collect data and use information technology to improve health outcomes from a clinical perspective.

Explore the Health Informatics Track

Health Analytics Track

The health analytics track is for computer science, data science, and related mathematics or science graduates and professionals. In this track, you will learn how to apply your existing knowledge of data and analytics to improve health data collection and health information systems.

Explore the Health Analytics Track

Required Core Health Informatics & Analytics Courses

Online courses are taught by distinguished experts in health informatics and health analytics, and reflect the latest, most innovative thinking in the fields of health and data.

Introduction to Health Informatics & Analytics
An overview of the fields of informatics and analytics and the evolution of health information technology, including electronic health records, telehealth, and digital health.

Health Data Usage
A broad overview of how data is used today in healthcare, clinical research and public health, the health data ecosystem, and social determinants of health and environmental data.

Digital Health
A deep dive into the variety of technologies medical practitioners, technology professionals, data analysts, and public health professionals use to bring value to the lives of patients.

Health Information Systems, Standards, Decision Support
An introduction to health information systems in care delivery settings, health information technology standards and system interoperability, and clinical decision support.

Analytics, Business Intelligence, and Artificial Intelligence in Healthcare
An overview of business intelligence terminology and data analytics tools, including machine learning and AI, and how they will be used while approaching analytics problems in healthcare.

Immersion and Capstone

As part of the program, you are required to attend a three-day immersion experience on our campus in Boston. During the immersion, you will collaborate with faculty, subject matter experts, and classmates to build the foundation for your capstone project. You will also have the opportunity to network and make connections in Boston—an intellectually rich city and a global center for medicine and public health.

Admissions

The online MS in Health Informatics & Analytics program seeks curious, engaged, and career-focused individuals interested in healthcare data science who are looking to improve individual and community health.

Application Requirements

All applicants must have a bachelor’s degree from a regionally accredited university. To be considered for admission, you will need to submit:

  • The online application
  • Letters of recommendation
  • Official transcripts
  • Resume
  • GRE, GMAT, MCAT, or DAT scores

Test waivers are available for students with an advanced degree and for professionals with three or more years of experience.

Learn More about Application Requirements

SPRING
2020

Application Deadlines

Classes Start: January 2020

Priority Deadline: October 14

Final Deadline: November 11

Applications are accepted on a rolling basis.

Translate Data into Insights to Improve Health

Request information today to see how our online MS in Health Informatics & Analytics program can help you improve human health outcomes.

Distinguished Leadership and Faculty

Grounded in real-world practice of public health, our faculty bring invaluable experience and industry knowledge into the classroom. You will learn from experts in health information technology, change management and leadership, artificial intelligence, informatics, and analytics.

“Graduates of this program will shape the future of healthcare and public health, benefitting patients, practitioners and research professionals.”
— Anna Orlova, PhD, Program Director

Immersive Online Experience

The online MS in Health Informatics & Analytics program delivers the same intimate learning approach as the on-campus programs at Tufts University School of Medicine.

Weekly, face-to-face online classes where you can discuss real-world health data problems and solutions with classmates


Classes that are small in size, allowing professors to personalize teaching to your specific interests


Flexibility to complete interactive, self-paced course work at a time that works best for you

Take the First Step Today,
Improve Human Health Tomorrow