The Master of Science in Health Data Analytics prepares you to succeed in this emerging field at the intersection of health informatics, data science, and computational modeling.
Meets F1 Visa Requirements
The Master of Science in Health Data Analytics (an intensive interdisciplinary program between CCIS and the Bouvé College of Health Science), prepares you to succeed in this emerging field at the intersection of health informatics, data science, and computational modeling. A strong, competency-based curriculum addresses a wide spectrum of analytics, including data acquisition from traditional and emerging data streams, data aggregation methods, data mining algorithms, predictive computational modeling, and visualization techniques. The program consists of a standard track geared for candidates interested in an industry or healthcare career, as well as a research-based track focused on Personal Health Informatics or Population Health.
This program meets F-1 international student status requirements
Program prepares student to become Certified Health Data Analyst (CHDA), the only data analysis credential in healthcare, through the American Health Information Management Association
The program is designed for students with a background in health and medicine with strong skills in statistics, computer science, and/or epidemiology
Develop a broad and deep understanding of the various methods, software tools, and topical expertise needed to discover meaningful patterns in health-related data—and effectively communicate the implications
Become an impactful practitioner and leader in the rapidly developing domain of data analytics with a focus on health and healthcare
Gain the knowledge to become a Certified Health Data Analyst (CHDA), the only data analysis credential in healthcare, through the American Health Information Management Association
"Computer science is a very rapidly changing field. The industry moves fast and the research areas move fast. We’re constantly thinking about where the field is going. That’s how we design our classes."
Olin Shivers, Associate Professor, College of Computer and Information Science
A graduate degree, certificate, or bootcamp from Northeastern—a top-50 university—can accelerate your career through rigorous academic coursework and hands-on professional experience in the area of your interest. Apply now—and take your career to the next level.
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For fall semester admission, your application is due May 1.
Scholarship consideration deadline is March 15. Domestic deadline is July 2.
Spring semester scholarship consideration and international applicant deadlines are October 15.
Domestic deadline is December 7.
Master of Science in Health Data Analytics General Requirements
DA 5020 - Collecting, Storing, and Retrieving Data
DA 5030 - Introduction to Data Mining/Machine Learning
HINF 6400 - Introduction to Health Data Analytics
PPUA 5301 - Introduction to Computational Statistics
PPUA 5302 - Information Design and Visual Analytics
HINF 5102 - Data Management in Healthcare
HINF 5105 - The American Healthcare System
HINF Predictive Analytics and Modeling*
*Please see college administrator for course information.
Complete either Thesis or Capstone:
HINF Health Informatics Thesis (TBA)
HINF 7701 - Health Informatics Capstone Project
At least one course must be chosen from the methods list.
Complete 3–6 semester hours from the following:
PHTH 6202 - Intermediate Epidemiology
PHTH 6210 - Applied Regression Analysis
PHTH 6440 - Advanced Methods in Biostatistics
CS 6350 - Empirical Research Methods
CAEP 7712 - Intermediate Statistical Data Analysis Techniques
CAEP 7716 - Advanced Research and Data Analyses 2
Complete 0–4 semester hours from the following:
ARTG 5330 - Visualization Technologies 1
ARTG 6320 - Design of Information-Rich Environments
HINF 5200 - Theoretical Foundations in Personal Health Informatics
HINF 5300 - Personal Health Interface Design and Development
HINF 6215 - Project Management
HINF 6220 - Database Design, Access, Modeling, and Security
PHTH 5226 - Strategic Management and Leadership in Healthcare
PHTH 5232 - Evaluating Healthcare Quality
PHTH 5234 - Economic Perspectives on Health Policy
Northeastern's signature experiential learning model combines academics with professional practice to help students acquire relevant, real-world skills they can apply to their desired industry. Northeastern offers a variety of ways for students to gain experience, some examples include:
Full-Time Co-op Opportunities — Students on co-op work in a paid position in their field of study for three to six months.
In-Class Case Studies — Professors integrate case studies and exercises into the classroom to bring a real-world perspective and relevance to what they’re teaching.
Research — Students collaborate with faculty in our more than 30 federally funded research centers, tackling some of the most pressing challenges in health, security, and sustainability.
Our faculty represents a wide cross-section of professional practices and in fields ranging from finance to education to biomedical science to management to the U.S. military. They serve as mentors and advisors, and collaborate alongside students to solve the most pressing global challenges facing established and emerging markets.
By enrolling in Northeastern, you gain access to a network of more than 245,000 alumni and 3,200+ employer partners, including Fortune 500 companies, government agencies, and global NGOs. Our current students and faculty across strategically located regional campuses further foster that lifelong global community of learning and mentoring.
Below is a look at where our Public Health & Public Policy alumni work, the positions they hold, and the skills they bring to their organization.