
The Bachelor of Arts in Statistical Science at University of Duke provides students with a strong foundation in statistical theory, data analysis, and quantitative reasoning. The curriculum emphasizes probability, statistical modeling, and computational methods, enabling students to interpret, visualize, and analyze complex datasets. Learners develop essential skills in data modeling, probability analysis, computational statistics, and critical reasoning, guided by faculty experienced in both theoretical and applied statistical research.
The program integrates interdisciplinary applications, connecting statistics with economics, biology, social sciences, and computer science. Students engage in laboratory exercises, computational projects, and research seminars, gaining the ability to conduct independent analyses, evaluate quantitative data, and apply statistical methods to real-world problems. Graduates leave the program with strong analytical, technical, and problem-solving skills, preparing them for careers or advanced studies in statistics, data science, and related fields.
Year 1 – Foundations in Statistical Science
Year 2 – Core Statistical Concepts
Year 3 – Applied and Specialized Study
Year 4 – Capstone Research & Professional Preparation
Graduates of this program are well-prepared for careers where statistical expertise and quantitative reasoning are essential. Many find opportunities in data science, financial analysis, market research, public policy, and biostatistics, applying their skills to analyze data, inform decisions, and guide strategy. Other pathways include roles in government agencies, healthcare analytics, research institutions, and consulting, where the ability to interpret complex datasets and create actionable insights is crucial. Graduates may also pursue advanced studies in statistics, data science, economics, or other quantitative disciplines. The program equips students to conduct independent research, utilize computational tools, and communicate analytical results effectively to both professional and non-technical audiences.
This program is ideal for students who want to combine quantitative reasoning, computational skills, and data analysis expertise to address complex problems across multiple disciplines. The four-year curriculum allows learners to progress from foundational statistics to advanced analytical methods while gaining hands-on experience with computational tools and applied research projects. Faculty mentorship and research seminars help students refine problem-solving, analytical thinking, and effective communication of statistical results. The program balances theoretical knowledge with practical application, enabling students to design independent research, analyze large datasets, and develop a professional portfolio. Graduates leave with strong technical proficiency, analytical insight, and the confidence to pursue careers or advanced studies in statistical science, data analysis, and related fields.
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