CMU's Statistics & Data Science: World-class programs, innovative research, real-world applications. Preparing students to tackle global challenges with data-driven solutions.

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Ranked #5, CMU's Ph.D. in Statistics features immersive research through interdisciplinary collaborations, exclusive access to world-leading machine learning experts, and hands-on projects - preparing grads to advance the field across academia and industry.

The Department of Statistics & Data Science is a world leader in applying statistics to many areas of science, technology, policy, and education. Faculty and students engage in interdisciplinary, collaborative research to help make fundamental advances in neuroscience, cosmology, networks, finance, genetics, theory and methods at the ...

This course will cover the fundamentals of theoretical statistics. We will cover Chapters 1 -- 12 from the text plus some supplementary material. This course is excellent preparation for advanced work in statistics and machine learning.

Students in the Bachelor of Science in Statistics (Statistics and Neuroscience Track) program develop and master a wide array of skills in computing, mathematics, statistical theory, and the interpretation and display of complex data.

I am a professor in the Department of Statistics & Data Science at Carnegie Mellon University, with a joint appointment in the Machine Learning Department. Prior to joining CMU, I was the J.W. Gibbs Assistant Professor in the department of mathematics at Yale University, and before that I served a year as a visiting research associate in the ...

Aaditya Ramdas is an Associate Professor (with tenure) at Carnegie Mellon University in the Department of Statistics and Data Science and the Machine Learning Department, as well as a visiting academic at Amazon Research.

Carnegie Mellon University

This small collection contains the charter for the ASA Statistical Computing Section and some software developed by the section for searching the electronic version of the Current Index to Statistics.