Applied Biostatistics and Public Health Data Science
The Master of Public Health in Applied Biostatistics and Public Health Data Science is a one year full time on campus program designed for students aiming to integrate advanced statistical methods with public health research. The curriculum combines biostatistics, data analytics, epidemiology, and health informatics to provide a comprehensive understanding of how to collect, analyze, and interpret health data to support evidence based decision making. Through this program, students develop statistical analysis skills, data interpretation expertise, research methodology competencies, and public health application abilities, preparing them to apply data driven approaches to solve complex health challenges.
This program offers a hands on learning environment where lectures, workshops, case studies, and applied projects allow students to work with real world public health datasets and conduct rigorous statistical analyses. Students refine data management techniques, predictive modeling, biostatistical methods, and health outcomes evaluation through collaborative exercises and practical projects. Graduates are prepared to work in government health agencies, research institutions, hospitals, and international public health organizations, equipping them to design studies, interpret complex health data, implement data driven interventions, and contribute to evidence based public health policies and strategies.
Key information
Key Facts
- Program Title: Applied Biostatistics and Public Health Data Science
- Degree Type: Master of Public Health
- Duration: 1 year
- Mode of Study: Full-time, On Campus
- Application Deadline: 15 June 2026
- Location: Columbia University, United States
- Field of Study: Public Health
- Language of Instruction: English
Program Structure
Semester 1 – Foundations in Biostatistics and Public Health Data Science
• Introduction to Biostatistics
• Epidemiologic Methods and Study Design
• Data Management and Visualization
• Research Methods in Public Health
Semester 2 – Advanced Data Applications and Analysis
• Predictive Modeling and Machine Learning in Public Health
• Statistical Analysis of Health Outcomes
• Seminar in Applied Public Health Data Science
• Applied Project in Biostatistics and Public Health
Career Opportunities
Graduates of this program are prepared for careers in public health data analysis, epidemiology, health research, and policy evaluation. Career paths include biostatistician, public health data scientist, research analyst, epidemiologic data consultant, and health informatics specialist. Graduates are equipped to manage and analyze complex health datasets, develop predictive models, evaluate interventions, and provide evidence based recommendations to support public health initiatives. The program also prepares learners for leadership and advisory roles in government health agencies, hospitals, research organizations, and international health bodies, enabling them to enhance population health outcomes and inform data driven decision making.
Why Choose This Program
Students choose this program because it combines advanced biostatistics, data science techniques, public health applications, and applied research skills within a one year intensive framework. The curriculum emphasizes both practical and analytical competencies, allowing learners to acquire the knowledge necessary to collect, analyze, and interpret health data effectively. Graduates gain the confidence, expertise, and skills to pursue careers in public health research, data science, epidemiology, and policy evaluation while contributing meaningfully to data informed health strategies and evidence based public health solutions.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 212 854 1754
Email: admissions@columbia.edu
Address: University of Columbia, Admissions Office, New York, NY, United States
