
The Health Data Science master’s program at University of Duke offers a two-year curriculum designed to provide students with advanced knowledge in data analysis, healthcare systems, and predictive modeling. Students gain expertise in clinical data management, health informatics, machine learning, and statistical analysis while learning to develop data-driven solutions for healthcare challenges. The program emphasizes both theoretical understanding and applied research, preparing learners to analyze complex health data, design predictive models, and optimize healthcare outcomes. Its structured approach ensures students acquire both technical proficiency and domain-specific expertise in healthcare analytics.
Participants benefit from mentorship by experienced faculty, access to healthcare datasets, and collaborative research projects. The curriculum emphasizes health informatics, data analysis, predictive modeling and clinical research, enabling students to apply statistical methods, design data pipelines, and develop analytics solutions for medical and public health problems. Through applied projects, case studies, and research-focused coursework, learners strengthen analytical, technical, and professional skills, preparing them for impactful careers in healthcare analytics, research, or policy.
Semester 1 – Foundations in Health Data Science
• Introduction to Health Informatics
• Statistical Methods for Healthcare
• Data Management and Integration
• Seminar in Healthcare Systems
Semester 2 – Applied Analytics & Machine Learning
• Predictive Modeling in Health Data
• Clinical Data Analysis
• Elective in Specialized Health Analytics Topic
• Applied Project / Lab Work
Semester 3 – Advanced Analytics & Research Methods
• Machine Learning for Healthcare
• Health Systems and Policy Analysis
• Research Project / Applied Study
• Elective in Biostatistics or Data Engineering
Semester 4 – Capstone & Professional Integration
• Independent Research / Master’s Thesis
• Advanced Health Data Analytics
• Seminar: Emerging Trends in Healthcare Data
• Professional Portfolio Development
Graduates of this program are prepared for professional roles in healthcare analytics, data management, clinical research, and health informatics. Common career paths include health data analyst, clinical informatics specialist, biostatistician and healthcare consultant. Additional opportunities exist in hospitals, public health agencies, research institutions, insurance companies, and technology firms specializing in health solutions. The program also provides a foundation for students pursuing doctoral studies in health informatics, data science, or public health. By combining technical expertise with applied healthcare research, graduates are equipped to deliver data-driven insights that improve patient outcomes and operational efficiency.
This two-year master’s program is ideal for students seeking a comprehensive and applied approach to health data science. The curriculum emphasizes health informatics, data analysis, predictive modeling and applied research, allowing learners to integrate technical skills with domain-specific healthcare knowledge. Students engage in applied projects, lab work, and faculty-guided research that strengthen analytical, technical, and professional abilities. The program’s structured design ensures graduates are prepared for careers in healthcare analytics, clinical research, health policy, or advanced study. For those aiming to transform healthcare with data-driven solutions, this program provides a focused and highly practical pathway.
For further information, please contact the admissions office at:
Phone: +1 (919) 684-8111
Email: admissions@duke.edu
Address: University of Duke, Durham, North Carolina, United States