Health Data Science
The Master of Science in Health Data Science at University of Michigan is a rigorous 20-month, full-time, on-campus graduate program designed for students who aim to apply data-driven solutions to complex challenges in healthcare and public health. With the explosive growth of digital health records, wearable devices, and biomedical research, the ability to harness and interpret large-scale health data has become essential. This program integrates statistics, computer science, and health informatics, preparing students to design, manage, and analyze data systems that improve clinical outcomes, support policy development, and advance health equity.
Through a curriculum that balances theoretical foundation with practical training, students gain expertise in data engineering, machine learning, statistical modeling, and healthcare systems. Courses emphasize real-world applications of data science, such as predicting disease risk, optimizing treatment protocols, and evaluating population-level health trends. Students also develop critical skills in data ethics, communication, and interdisciplinary collaboration. With access to top-tier research centers and close engagement with faculty working at the intersection of health and technology, graduates are equipped to lead innovation in a field where data fluency and domain knowledge are essential for impact.
Key information
Key Facts
- Program Title: Health Data Science
- Degree Type: Master of Science
- Duration: 20 months
- Mode of Study: Full-time, On Campus
- Application Deadline: 01 December 2025
- Location: University of Michigan, United States
- Field of Study: Data Science & Big Data
- Language of Instruction: English
Program Structure
Year 1 – Foundations in Data Science and Health Systems
- Statistical Learning and Inference
- Principles of Health Informatics
- Programming for Data Analysis
- Health Systems and Services Research
Year 2 – Advanced Modeling and Applied Analytics
- Machine Learning in Health Data
- Causal Inference in Public Health
- Big Data Engineering and Management
- Capstone Project in Health Data Science
Career Opportunities
Graduates of the Health Data Science program are well-prepared for analytical and strategic roles in organizations where the ability to interpret complex health data is key to driving decision-making. Career paths commonly include positions in healthcare analytics firms, hospital systems, public health agencies, and biomedical research centers. Others work in pharmaceutical companies, insurance providers, or government agencies developing data-informed health interventions and policy. The interdisciplinary nature of the program also supports career mobility into tech companies focusing on digital health and AI-driven healthcare platforms. As data continues to reshape healthcare, graduates with both technical skills and health science insight are increasingly sought after for roles that demand innovation, critical thinking, and precision.
Why Choose This Program
University of Michigan’s Health Data Science program offers an immersive educational experience at the convergence of technology, public health, and biomedical research. The program combines a forward-thinking curriculum with experiential learning, giving students the opportunity to work on projects that mirror challenges faced by leading health institutions and tech firms. With strong connections to research hospitals, interdisciplinary faculty mentorship, and access to real-world datasets, students build both credibility and competence. Whether you aim to predict health outcomes, personalize care, or shape health policy through evidence, this program equips you with the tools, knowledge, and network to become a leader in one of the fastest-growing areas of modern science.
Contact Information
For further information, please contact the admissions office at:
Phone: 734-764-8129
Email: rackadmis@umich.edu
Address: Graduate Admissions Office, University of Michigan, Ann Arbor, MI 48109, USA
