Public health - Public Health Modeling
The Master of Public Health in Public Health Modeling equips students with the knowledge and skills necessary to apply quantitative methods and computational modeling to address public health challenges. The program emphasizes statistical modeling, simulation techniques, and epidemiological analysis, enabling students to predict health outcomes and design effective interventions. Students develop expertise in disease modeling, data analysis, and risk assessment, preparing them for roles in governmental agencies, research institutions, and international health organizations. Through applied projects, computational simulations, and interdisciplinary collaboration, learners gain practical experience in evaluating health policies, forecasting disease trends, and supporting evidence-based decision-making.
Over the two-year program, students engage in rigorous coursework, hands-on research, and analytical exercises that strengthen both quantitative and practical competencies. The curriculum covers epidemiology, biostatistics, computational modeling, and health policy, providing a solid foundation for professional practice. By integrating theoretical knowledge with applied modeling, students develop competencies in simulation analysis, public health forecasting, and data-driven policy evaluation. This approach prepares graduates to contribute effectively to health agencies, consultancy firms, research centers, and international organizations while fostering analytical thinking, problem-solving, and expertise in public health modeling.
Key information
Key Facts
- Program Title: Public health - Public Health Modeling
- Degree Type: Master of Public Health
- Duration: 2 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 15 December 2025
- Location: Yale University, United States
- Field of Study: Public Health
- Language of Instruction: English
Program Structure
Semester 1 – Foundations in Public Health Modeling
• Introduction to Public Health Modeling
• Epidemiological Methods
• Biostatistics and Data Analysis
• Research Methods in Public Health
Semester 2 – Applied Modeling Techniques
• Advanced Statistical Modeling
• Disease Simulation and Forecasting
• Applied Research Projects
• Elective Modules in Health or Modeling
Semester 3 – Advanced Applications & Fieldwork
• Risk Assessment and Policy Evaluation
• Computational Modeling in Health
• Applied Field Research
• Seminar: Public Health Modeling Case Studies
Semester 4 – Capstone & Professional Practice
• Independent Research / Thesis
• Data Interpretation and Policy Analysis
• Portfolio Development and Presentation
• Professional Development and Networking
Career Opportunities
Graduates of this program are prepared for careers at the intersection of data analytics, epidemiology, and public health policy. Career opportunities include positions in government health agencies, research institutions, international health organizations, public health consultancy firms, and academic research centers. Graduates may also pursue roles in disease forecasting, simulation modeling, policy evaluation, and health program management. The program equips students with strong analytical, modeling, and research skills, enabling them to design simulations, evaluate interventions, and provide data-driven recommendations. With expertise in public health modeling, graduates are well-prepared to guide policy decisions, optimize health programs, and contribute meaningfully to population health outcomes.
Why Choose This Program
This program is ideal for students seeking a quantitative and applied education in public health, offering a curriculum that emphasizes disease modeling and policy evaluation. Its four-semester structure provides opportunities for applied simulations, research projects, and case studies, allowing learners to integrate theoretical knowledge with practical problem-solving skills. Through mentorship, computational projects, and capstone experiences, students acquire the expertise, analytical skills, and professional confidence necessary to model health outcomes, assess interventions, and address complex public health challenges effectively. Graduates leave prepared to lead in epidemiological research, influence policy decisions, and make significant contributions to the field of public health.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 203 432 2300
Email: admissions@yale.edu
Address: University of Yale, New Haven, CT 06520, United States
