Statistical Science at Duke is the world's leading graduate research and educational environment for Bayesian statistics, emphasizing the major themes of 21st century statistical science: foundational concepts of statistics, theory and methods of complex stochastic modeling, interdisciplinary applications of statistics, computational statistics, big data analytics, and machine learning. Life as a Ph.D. student in Statistical Science at Duke involves immersion in a broad range of research experiences and emphasizes conceptual innovation, as well as building a deep and broad foundation in theory and methods.
Working with world leaders in research, our Ph.D. students customize their studies to define "individualized programs." We stress the flexibility to tailor course selection, independent study, research experiences, internships and so forth to help you define a core base of expertise and move at your own pace toward Ph.D. research.
Coupled with our core emphases in modeling, computation and the methodologies of modern statistical science is a huge range of interdisciplinary areas via relationships with many other disciplines (biomedical sciences, environmental sciences, genomics, computer science, engineering, finance, social sciences, and others). These rich opportunities for students in interdisciplinary statistical research are complemented by our collaborations with the National Institute of Statistical Sciences (NISS) and the Statistical and Applied Mathematical Sciences Institute (SAMSI), and internships at companies such as Google, Yahoo, AT&T, IBM, RAND, Microsoft, multiple financial and biomedical companies, among others.