Computational Epidemiology and Systems Modeling
The Master of Science in Computational Epidemiology and Systems Modeling at University of Michigan is a two-year, full-time, on-campus graduate program designed for individuals seeking to explore the complex dynamics of disease spread and health outcomes using quantitative and computational approaches. This interdisciplinary program merges the fields of epidemiology, data science, and systems modeling to equip students with the tools needed to analyze public health data, simulate disease transmission, and inform effective interventions. Through a blend of theoretical training and applied research, students learn to understand population-level health patterns and contribute to real-world solutions in policy, prevention, and global health preparedness.
The curriculum is structured to provide an in-depth foundation in epidemiologic theory, statistical methods, and modeling techniques, while emphasizing hands-on experience with simulation tools and data-driven analysis. Students explore how computational models are used to anticipate the effects of policy decisions, plan emergency responses, and assess long-term health strategies. With access to advanced research centers and faculty actively engaged in global and national health modeling efforts, students are encouraged to work on collaborative projects that reflect current challenges in public health. The program fosters analytical thinking, problem-solving, and scientific communication—skills that are critical for leadership in data-informed health systems and research initiatives.
Key information
Key Facts
- Program Title: Computational Epidemiology and Systems Modeling
- Degree Type: Master of Science
- Duration: 2 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 01 December 2025
- Location: University of Michigan, United States
- Field of Study: Epidemiology
- Language of Instruction: English
Program Structure
Year 1 – Core Epidemiology and Modeling Principles
- Principles of Epidemiology
- Biostatistics for Public Health
- Computational Tools for Health Data
- Infectious Disease Dynamics
Year 2 – Advanced Simulation and Systems Applications
- Systems Modeling for Public Health
- Agent-Based and Network Modeling
- Health Policy Modeling and Evaluation
- Capstone Project in Epidemiological Systems Analysis
Career Opportunities
Graduates of this program are uniquely positioned to take on specialized roles in fields that require both public health expertise and advanced computational skills. They often work in public health research institutes, government health agencies, epidemic modeling centers, and global health organizations. Others pursue careers in health data science, policy analysis, or academic research, where they contribute to evidence-based decision-making through sophisticated simulations and epidemiologic modeling. With the increasing reliance on predictive tools and real-time data to manage public health threats, graduates play vital roles in designing interventions, allocating resources, and advising policy leaders. The demand for professionals who can bridge the gap between epidemiologic insight and computational methods makes this degree a valuable asset in an evolving global health landscape.
Why Choose This Program
University of Michigan’s program in Computational Epidemiology and Systems Modeling provides a rigorous and future-focused education that blends data analytics, public health theory, and applied modeling. Students benefit from the university’s strong research infrastructure, diverse faculty expertise, and a curriculum built around solving real-world health problems. With direct access to simulation labs, interdisciplinary collaboration, and global health partnerships, students engage in meaningful research while building the technical and strategic competencies needed in today’s health systems. The program’s unique integration of quantitative methods and health science prepares graduates to shape impactful health policies, respond to crises with data-informed strategies, and lead innovation in computational public health.
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
