The department offers programs leading to the degrees of MSc and PhD in the following areas: statistical inference, robust statistics, data mining, bioinformatics, data analysis, multivariate analysis, linear and nonlinear regression, time series analysis, statistical genetics, environmental statistics, and information theory.
The department operates a network of Sun servers, workstations, a Unix cluster, and PCs. Standard statistical and mathematical software such as Splus, SAS, BMDP, Minitab, NAG, IMSL, Matlab and Maple are available, as well as special-purpose applications software in a variety of areas. Graduate student offices are all equipped with computers.
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These courses are intended as guidelines. Speak to your guidance counsellor to see what courses are offered at your school.
Thesis-based master's degree or its equivalent.
Minimum grade point average of 3.0 (B average) in the last 60 credit hours of study.
Degree granted by university of recognized standing.
Please see this website for information on program-specific requirements.
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* We make every attempt to provide accurate information on prerequisites, programs, and tuition. However, this information is subject to change without notice and we highly recommend that you contact the school to confirm important information before applying.