Academic Program
Statistics encompasses course work in designing and analyzing experiments, planning and interpreting surveys, and exploring
relationships among variables observed on social, physical and
biological phenomena. The applied nature of the program allows the
student to develop data analysis tools for such diverse areas as
business and economics, crop and animal production, biological
sciences, human behavior, education, engineering, energy and the
environment, and natural
resource management. The statistics program thus supports major
programs in other disciplines.
At the undergraduate level there is a statistics option
available under applied mathematics that is available through the Department
of Mathematics that leads to a baccalaureate degree. In addition, the
Department of Statistics offers an academic statistics minor for
undergraduate students.
At the graduate level, the Department of Statistics at the University of Idaho offers
graduate training leading to the degree of Master of Science in
Statistics or to Graduate Certificates in either Statistics or Six
Sigma Innovation & Design. The objective of the M.S. program in
Statistics is to provide sound training in the
fundamental principles and techniques of statistics. Graduates will
be equipped for a variety of statistical careers in industry,
business, agriculture, government and biomedical fields or to engage
in further study in the doctoral level. The objective of the
certificate programs are to enhance the ability of the student to
apply statistical and six sigma methodologies in their chosen field
of endeavor. The UI statistics group is an intercollegiate, interdisciplinary
team emphasizing broad applications as well as theoretical
aspects of statistics. In addition to research within the
discipline, faculty collaborate actively with researchers from the
physical, biological, and social sciences, as well as business and
engineering to promote campus-wide
cooperation in investigation of statistical problems. There is also
close academic liaison with the Department of Statistics at the nearby
Washington State University. For more information, contact
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