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Doctoral Program - Breadth Requirement

Much of statistics is done in collaboration with scientists and engineers. In order to appreciate scientific problems, students are required to take at least nine units (three courses) outside of the statistics department, eg CS, EE, MS&E, GENE.

A minimum of nine units must be at a graduate or advanced undergraduate level. Any additional units can be at the 100 level or above. Courses used to meet the breadth requirement may be taken for a letter grade or credit, and should be unrelated to coursework in statistics and probability, thus broadening the student’s foundations. Such courses may include Statistics or cross-listed courses taught by faculty who have a full, joint or courtesy appointment in Statistics.

While the nine units may be taken across several different departments, students are advised to choose an area of concentration in a specific scientific field of statistical applications, completing them within a single approved department, such as math, engineering, computer science, or MS&E, subjects commonly related to statistics. Popular areas include Computational Biology and Statistical Genomics, Machine Learning, Applied Probability, Earth Science Statistics, and Social and Behavioral Sciences.

Courses for the depth and breadth requirements must equal a combined minimum of 24 units.

Students with a graduate degree in a scientific area that is not essentially mathematics or statistics may petition to waive this requirement. See the Student Services Manager for details.