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Graduate Program

On behalf of the Department of Statistics & Probability (STT) at Michigan State University I welcome you as graduate director.

Statistics is the science of learning from data. With rapid breakthroughs in technology, data are generated at an unprecedented pace in every discipline. We are surely into an era of data explosion, which brings enormous opportunities for our profession, while presenting daunting challenges for statistical modeling and inference. STT is an energetic community of scholars. Our faculty are striving toward solving important theoretical and real-world problems of our time, while making our expertise available to serve the needs of our graduate students, and educate the next generation of statisticians.

Our graduate program aims to provide a strong, rigorous, and quality curriculum that prepares students to enter the professional workforce, either in industry, academia, or government and public service. The department has a long tradition of being theory-oriented, which guarantees a great deal of rigor in the training of our grad students. At the same time, we are making great efforts to broaden our scope. We now cover a variety of areas in modern statistics, in methodology, computation, and applications, while maintaining our high standards. We continue to be proud of the robust emphasis we pursue in probability theory and stochastic processes, as the only department in the country whose name reflects all of probability. Our students receive world-class level training in theory and methodology, and are highly sought after by leading industrial employers and high-ranking academic department throughout the US.

If you are considering a future career in the sciences of statistics and probability, or if you are a current student looking to fulfill requirements for your course study, I encourage you to look into our webpages which provides useful information about our M.S. and Ph.D. programs. If you have chosen or will choose our program, we hope it will equip you with powerful skills for a lifelong benefit to your career and intellectual growth. We think your study at MSU will leave you with the most cherishable memories in your life as a scholar.

The MSU Graduate School provides a public demographic description of our PhD program, along with information on percent of applicants admitted, degree completion, time to degree, and placement data. See: https://grad.msu.edu/apply/phddata.

Again, I am delighted to have the opportunity to welcome you to our program, and invite you to explore our campus, student activities, and research pursuits.

Yuehua Cui, Ph.D., Professor and Graduate Director

Contact Information

Director of Graduate Education
Department of Statistics
Michigan State University
C415 Wells Hall
East Lansing, MI 
48824-1027 

Phone: (517) 353-3233
Fax: (517) 432-1405
Email: stt.gradoffice@msu.edu

news

May 23, 2022 Memories of Professor Atma Mandrekar

Memories of Professor Atma Mandrekar

May 3, 2022 Yuehua Cui elected as a Fellow of American Statistical Association

Yuehua Cui, Professor and Director of Graduate Programs in the Department of Statistics and Probability (STT), has been named an elected Fellow of the American Statistical Association (ASA). 

April 19, 2022 Dr. Huan Lei honored with NSF Early CAREER Award

Huan Lei, assistant professor in the Department of Statistics and Probability (STT) is among five Michigan State University (MSU) researchers from the College of Natural Science (NatSci) who have received NSF Early CAREER Faculty Awards. Their cutting-edge research pushes the limits of science, while their devotion to education is preparing the next generation of scientists to propel their field even further. Collectively, over the next five years (2022-2027) they will receive more than $3.7 million in National Science Foundation (NSF) funding.

March 18, 2022 STT PhD student awarded IMPACTS fellowship for 2021-2022

Sikta Das Adhikari, in her third year with the STT PhD program, was awarded an IMPACTS fellowship for the 2021-2022 academic year. Integrated training Model in Plant And Compu-Tational Sciences (IMPACTS) is an NSF-funded program for training doctoral students to employ advanced computational/data science approaches to address grand challenges in plant biology.

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