The Biostatistics S. Master program at University of Duke offers a comprehensive two-year curriculum focused on the application of statistical methods to biomedical research, public health, and clinical studies. Students gain expertise in data analysis, probability modeling, and statistical inference while learning to interpret complex biological and health-related datasets. The program emphasizes both theoretical knowledge and practical application, enabling learners to design experiments, conduct analyses, and provide data-driven insights in healthcare, research, and policy contexts. Its structured design ensures students develop strong analytical and quantitative skills essential for modern biostatistical practice.
Participants benefit from faculty mentorship, access to specialized statistical software, and hands-on research projects. The curriculum emphasizes statistical modeling, data analysis, biomedical research and applied inference, equipping students to handle real-world health and biological data. Through case studies, applied projects, and collaborative research, learners strengthen problem-solving, computational, and communication skills, preparing them for careers in healthcare analytics, clinical research, or further academic study.
Key information
Key Facts
- Program Title: Biostatistics
- Degree Type: S. Master
- Duration: 2 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 05 January 2026
- Location: Duke University, United States
- Field of Study: Bioinformatics & Biostatistics
- Language of Instruction: English
Program Structure
Semester 1 – Foundations in Biostatistics
• Introduction to Biostatistics
• Probability and Statistical Inference
• Data Management and Analysis
• Seminar in Health Research
Semester 2 – Applied Biostatistics & Methods
• Regression Analysis and Modeling
• Clinical Trials and Study Design
• Elective in Specialized Biostatistical Topic
• Applied Research Project
Semester 3 – Advanced Statistical Methods
• Longitudinal and Survival Analysis
• Bayesian Methods in Biostatistics
• Research Project / Applied Study
• Elective in Data Science Applications
Semester 4 – Capstone & Thesis Integration
• Independent Research / Master’s Thesis
• Advanced Computational Methods
• Seminar: Biostatistics in Practice
• Professional Portfolio Development
Career Opportunities
Graduates of this program are prepared for professional roles in biostatistics, public health, clinical research, and healthcare analytics. Common career paths include biostatistician, data analyst, clinical research specialist and healthcare consultant. Additional opportunities exist in pharmaceutical companies, hospitals, government agencies, research institutions, and academic centers. The program also provides a strong foundation for students pursuing doctoral studies in biostatistics, epidemiology, or data science. By combining rigorous statistical training with applied research experience, graduates are equipped to design studies, analyze health data, and provide actionable insights in complex biomedical contexts.
Why Choose This Program
This two-year master’s program is ideal for students seeking a rigorous and applied approach to biostatistics and biomedical data analysis. The curriculum emphasizes statistical modeling, data analysis, biomedical research and applied methods, allowing learners to integrate technical skills with real-world problem-solving. Students engage in research projects, applied assignments, and faculty mentorship that strengthen analytical, computational, and communication abilities. The program’s structured design ensures graduates are prepared for careers in clinical research, public health analytics, healthcare consulting, or doctoral study. For those aiming to leverage statistical expertise to advance health science and biomedical research, this program provides a focused and highly practical pathway.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 (919) 684-8111
Email: admissions@duke.edu
Address: University of Duke, Durham, North Carolina, United States
