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Ph.D. Students

The Subject

The demand for statisticians is at an all-time high. Statistics and data science are necessary components in all applied sciences, businesses, medicine, and even many everyday tools and tasks. With the huge amounts of data collected in the world every second, statisticians at all levels are needed to help make sense of this data, quantify the uncertainty, develop new tools and methodologies, and analyze their properties.

The Program

U-M has long been ranked in the top ten statistics programs in the country, and was #4 in the last available NRC rankings. We provide solid training in fundamentals at both the Master's and Ph.D. levels, as well as training in cutting-edge modern methods.

Our Ph.D. students' thesis topics range from probability and statistical theory to computationally intensive methods and machine learning to interdisciplinary applications in life sciences, engineering, and social sciences. All Ph.D. students are exposed to research from the start and most have multiple peer-reviewed publications upon graduation. Many of our Ph.D. graduates become faculty in peer institutions, while others continue on to jobs in research labs, government, and industry.

Many of our students gain valuable consulting experience through the Center for Statistical Consultation and Research, which provides statistical consulting services to other researchers on campus. All Ph.D. students and some Master's students also gain teaching experience working as Graduate Student Instructors.