Statistical Science
The Statistical Science master’s program at University of Duke provides a comprehensive two-year curriculum designed for students seeking advanced training in data analysis, probability theory and applied statistics. The program emphasizes both theoretical foundations and practical applications, equipping learners with the skills to analyze complex data sets, develop statistical models and interpret quantitative results across diverse domains. Students gain experience with statistical computing, predictive modeling, and data visualization techniques, preparing them to address real-world problems in research, industry and public policy. The program’s structured approach ensures that students develop both analytical rigor and applied expertise.
Participants benefit from mentorship by experienced faculty, access to modern statistical software and opportunities for collaborative research projects. The curriculum emphasizes statistical modeling, data analysis, computational statistics and applied research, enabling learners to translate complex data into actionable insights. Through coursework, seminars and applied projects, students refine their ability to interpret, communicate and implement statistical findings effectively. This combination of rigorous training and practical experience prepares graduates for high-level roles in industry, research, or doctoral-level study in statistics and related fields.
Key information
Key Facts
- Program Title: Statistical Science
- Degree Type: Master of Science
- Duration: 2 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 06 January 2026
- Location: Duke University, United States
- Field of Study: Statistics
- Language of Instruction: English
Program Structure
Semester 1 – Foundations of Statistical Science
• Probability and Statistical Theory
• Applied Linear Models
• Statistical Computing and Programming
• Data Analysis Techniques
Semester 2 – Intermediate Statistical Methods
• Multivariate Analysis
• Bayesian Statistics and Inference
• Regression and Predictive Modeling
• Seminar in Applied Statistics
Semester 3 – Advanced Applications & Research
• Time Series Analysis
• Statistical Machine Learning
• Elective in Specialized Statistical Topic
• Applied Research Project
Semester 4 – Thesis & Capstone Integration
• Advanced Data Analysis Techniques
• Statistical Consulting and Communication
• Independent Research / Master’s Thesis
• Seminar in Statistical Practice
Career Opportunities
Graduates of this program are prepared for a wide range of analytical and research-oriented roles across industry, academia and public policy. Common career paths include data scientist, statistical analyst, biostatistician and quantitative researcher. Additional opportunities exist in healthcare, finance, government agencies, technology firms and research institutions, where expertise in statistical methods and data interpretation is critical. The program also provides a solid foundation for those pursuing doctoral studies in statistics, data science or related fields. By combining rigorous theory with applied experience, graduates are well-equipped to deliver actionable insights and drive data-informed decision-making in diverse professional settings.
Why Choose This Program
This two-year master’s program is ideal for students seeking a rigorous, data-driven and applied approach to statistical science. The curriculum emphasizes statistical modeling, computational methods, data analysis and real-world application, providing students with both theoretical and practical expertise. Learners engage in applied projects, faculty-guided research and seminars that strengthen problem-solving and analytical skills. The program’s structure allows students to develop advanced proficiency in interpreting and communicating complex data while preparing for careers in analytics, research or doctoral study. For those aiming to transform quantitative knowledge into professional impact, this program provides a structured and highly effective 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
