86 PhD programmes in Statistics in United States

The Doctor of Philosophy (Ph.D.) in Statistics at Pennsylvania State University is designed for advanced studies in applied and theoretical statistics.

Students interested in pursuing the Statistics Ph.D. at Kansas State University, are required to first pass a departmental Qualifying Exam. Subsequently, students pursuing the Ph.D. must pass the doctoral preliminary examination (see below) in order to be approved for degree candidacy by the Graduate School. 

A Ph.D. in Business Analytics from University of Tennessee Knoxville provides the intellectual and professional capabilities needed to pursue research and teaching careers at major universities.

The Statistics program from The University of Arizona supports and encourages the central role of statistical and quantitative thinking in the biological, physical, engineering, financial, and social sciences. 

The Department of Statistical Science at the Southern Methodist University began offering the Ph.D. in Statistical Science in 1968. 

The Statistics program from Columbia University prepares students for research careers in probability and statistics in academia and industry. 

This Statistics and Machine Learning program at Carnegie Mellon University differs from the standard Statistics Ph.D. program in its emphasis on machine learning and computer science. 

The Statistics Graduate Program at University of California, Davis consists of 24 faculty including members affiliated with various departments on campus. The program offers both Ph.D. and M.S. degrees. 

The Psychology (Quantitative Research Methods) PhD program at Arizona State University focuses on the broad class of quantitative and methodological issues that arise in the conduct of both basic and applied psychological research.

The PhD program in Mathematical Statistics at the University of Maryland aims to create a bridge between tradition and modernity in statistics. The students will receive rigorous training in both classical and modern theory and methods in statistics.

The Statistics Department programme at Rutgers University is intended for students with strong mathematical backgrounds who are wishing to pursue research-oriented careers in academia or industry.  

The Learning, Cognition, Instruction, and Development - Statistics and Measurement degree at Rutgers University prepares students to become statisticians and psychometricians with broad expertise in applied statistics, measurement theory, educational assessment, and statistical analysis.

The faculty at the Statistics program offered by University of Missouri - Columbia is known for both cutting edge methodological and collaborative research and for outstanding teaching.

Quantitative Methodology - Measurement and Statistics at the University of Maryland offers graduate study leading to the Doctor of Philosophy degree for students with strong interests in quantitative research methods and their applications.

Wharton’s PhD program in Statistics and Data Science at University of Pennsylvania provides the foundational education that allows students to engage both cutting-edge theory and applied problems.

The department at University of Virginia offers a Master of Science degree in Statistics and a Doctor of Philosophy Degree in Statistics.

The Department of Statistics offers a PhD in Statistics within the Kenneth P. Dietrich School of Arts and Sciences at the University of Pittsburgh.

The faculty in the Georgia State University Department of Mathematics and Statistics view the disciplines as great unifying themes in our modern culture. Math/stats is a language, a science, an art form and a tool of tremendous power.

The Doctor of Philosophy in (Ph.D.) in Statistics at the University of South Carolina is designed to prepare students to be statistical researchers or university faculty members.

This Applied Demography PhD program at The University of Texas at San Antonio prepares students to address the expanding education and research problems that are at the intersection of demography, public policy and administration, education, public health, and health care.