NEWS

  • Daniel McDonald has been selected as the ASA Pittsburgh Chapter Student of the Year for CMU in 2012.
  • Anne-Sophie Charest (PhD, Stat) has been selected as the 2012 recipient of the CMU Graduate Service Award. This award is given in recognition of graduate student service that has "advanced the interests of Carnegie Mellon graduate students, improved the quality of life for graduate students on campus and/or contributed to the larger academic community". Anne-Sophie will receive her award during the Graduate Student Research Symposium on April 5th.
  • Sonia Siok (SDS, Stat) has been selected as a recipient of the CMU Alumni Association Student Service Award for 2012. She is being honored for her service to the university community and the surrounding Pittsburgh community. Sonia will be recognized during the Fall 2012 Homecoming weekend.
  • Brittanie Boone (Econ-Stat, 2012) has been chosen as a 2011-2012 Andrew Carnegie Society Scholar. This award is for seniors who "embody high standards of academic excellence combined with multi-dimensional characteristics such as volunteerism, involvement in student organizations, participation in sports or the arts and leadership." Only nine H&SS students were chosen as ACS scholars this year. Besides receiving monetary awards, ACS Scholars work together during the school year to contribute to philanthropic activities on campus.
    • Department of Statistics
    Baker Hall
    Carnegie Mellon University
    Pittsburgh, PA 15213
    Phone: (412) 268-2717
    Fax: (412) 268-7828

APPLY TO THE GRADUATE PROGRAM

PhD Application is closed until fall of 2012

Master's in Statistical Practice (MSP) application for fall 2013 will be available fall of 2012. For more information about the MSP program please see the MSP Information Page

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CURRENT STUDENTS

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OVERVIEW OF THE DEPARTMENT

Founded in 1966, Carnegie Mellon's Department of Statistics evolved separately from the traditional umbrella of Mathematical Sciences in a University environment that emphasized computation, the understanding of human behavior and decision-making, and cross-disciplinary research. This led the Department to define a path for itself by focusing on

  • computational statistics,
  • Bayesian statistics, and
  • cross-disciplinary statistical research

at a time when none of these was recognized as centrally important for a growing department. As all three areas became fundamental to statistics, our department assumed increasing leadership in the field. Today, our theoretical approaches are eclectic, and our graduates remain in demand for jobs in academia, government, and industry.


TECHNICAL REPORTS


RESEARCH ON STATISTICAL THEORY AND METHODOLOGY


CROSS-DISCIPLINARY RESEARCH