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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 

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


January 19, 2022 STT PhD student lands inaugural Neogen Land Grant Prize

STT PhD student, Sarah Manski, lands inaugural Neogen Land Grant Prize

December 22, 2021 STT student earns prestigious Marshall Scholarship

Andrew McDonald, a Michigan State University College of Natural Science (NatSci) senior majoring in advanced mathematics and statistics, has been named a Marshall Scholar.

December 17, 2021 College of Natural Science awards teaching prizes to Fairbourn and Keane

STT Instructors Camille Fairbourn and John Keane were each awarded the 2021-22 College of Natural Science Faculty Teaching Prize in November. Each year, CNS recognizes teaching excellence by awarding the Faculty Teaching Prize to select fixed-term and tenure-system faculty. Both instructors were nominated by STT Professor Dr. Frederi Viens.

upcoming events

Colloquium - Nicole Pashley

Institution: Rutgers University
Title: Noncompliance and instrumental variables for 2K factorial experiments
Date: January 25, 2022
Location: Zoom (Click here for meeting details)
Time: 10:20 AM - 11:10 AM Eastern Time

Colloquium - Veronika Rockova

Institution: University of Chicago
Title: [TBA]
Date: February 1, 2022
Location: Zoom (Click here for meeting details)
Time: 10:20 AM - 11:10 AM Eastern Time

Colloquium - Mickael Binois

Institution: Inria Sophia Antipolis
Title: [TBA]
Date: February 8, 2022
Location: Zoom (Click here for meeting details)
Time: 10:20 AM - 11:10 AM Eastern Time

Colloquium - Stefan Wager

Institution: Stanford University
Title: [TBA]
Date: February 15, 2022
Location: Zoom (Click here for meeting details)
Time: 4:00 PM - 4:50 PM Eastern Time