Health Analytics
The Master of Science in Health Analytics offers a data-driven and interdisciplinary curriculum designed for students who want to apply analytical methods to improve healthcare delivery, clinical performance, and population health outcomes. The program integrates coursework in biostatistics, data science, health systems, and predictive modeling, giving learners the theoretical and computational foundation needed to interpret complex health data. Through analytical projects, case-based exploration, and quantitative reasoning exercises, students learn how to evaluate trends, assess intervention effectiveness, and generate insights that support evidence-based decision-making across clinical and organizational settings. This structure equips learners with a deep understanding of how data informs modern healthcare strategies.
Complementing its analytical rigor, the program emphasizes hands-on application through real-world datasets, advanced software tools, and interdisciplinary collaboration with healthcare professionals and researchers. Students strengthen competencies in data visualization, machine learning, health metrics, and outcomes evaluation while engaging in projects that reflect current challenges in hospitals, public health departments, and health technology environments. Exposure to system-level thinking, ethical data practices, and emerging digital health innovations helps learners understand the broader context in which health analytics operates. By combining methodological depth with practical experience, the program prepares graduates to translate complex data into meaningful, actionable insights for improving patient and system performance.
Key information
Key Facts
- Program Title: Health Analytics
- Degree Type: Master of Science
- Duration: 1 year
- Mode of Study: Full-time, On Campus
- Application Deadline: 15 January 2026
- Location: Northwestern University, United States
- Field of Study: Public Health
- Language of Instruction: English
Program Structure
Semester 1 – Foundations of Health Data, Statistics & Systems Analysis
• Biostatistics and Probability for Health Analytics
• Health Systems and Policy Foundations
• Data Science for Health Applications
• Data Management and Analytical Communication
Semester 2 – Predictive Modeling, Decision Support & Capstone
• Machine Learning for Health Outcomes
• Health Economics and Resource Allocation
• Advanced Health Analytics and Decision Support
• Health Analytics Capstone Project
Career Opportunities
Graduates of this program are prepared for analytical and data-focused roles across healthcare systems, public health organizations, and health-technology sectors where data interpretation and evidence-based strategy are essential. Many professionals work in healthcare analytics units, public health agencies, research institutes, and digital health companies, contributing to predictive modeling, data integration, performance monitoring, and population health evaluation. Responsibilities may include analyzing patient outcomes, building forecasting models, designing dashboards, evaluating clinical processes, and supporting teams with data-driven decision-making. With strong preparation in quantitative methods and applied health analysis, graduates are also suited for roles in quality improvement, health economics, clinical informatics, or health-related AI development. The program additionally provides a foundation for those pursuing advanced degrees or research careers in data-intensive public health fields.
Why Choose This Program
This program is ideal for students seeking to combine strong analytical training with meaningful applications that enhance healthcare quality and effectiveness. Its curriculum emphasizes evidence-based insight, advanced analytics, and system-level understanding, offering a structured progression from core statistical methods to sophisticated modeling and decision support. The one-year format delivers an intensive yet comprehensive experience supported by expert faculty, real-world datasets, and opportunities to complete a capstone project demonstrating professional readiness. Students benefit from interdisciplinary collaboration, exposure to emerging digital health tools, and training that strengthens both analytical precision and strategic thinking. For individuals aiming to influence healthcare improvement through data, this program provides a focused and future-oriented academic pathway.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 312 555 2040
Email: admissions@northwestern.edu
Address: University of Northwestern, 633 Clark Street, Evanston, IL 60208, United States
