The Department offers a broad training program comprised of the main areas of statistical theory (with emphasis on foundations, Bayes theory, decision theory, nonparametric statistics), probability theory, stochastic processes, asymptotics, information theory, machine learning, data analysis, statistical computing, and graphical methods.
With this background, graduates of the program have found excellent positions in industry, and government.Read more.
The techniques and tools covered in M.S. in Statistics & Data Science are most similar to the requirements found in Data Scientist job advertisements.
