An undergraduate statistics major requires prior training in calculus of several variables and in linear algebra. Suitable prerequisites are MATH 220 and 224 (or 212, 213, and 214); and MATH 230, 234, and 240 (or 281-1,2,3 or 285-1,2,3 or 290-1,2,3 or 291-1,2,3). Students who expect to eventually obtain a PhD in statistics should take additional mathematics coursework. Since modern statistical work relies heavily on computers, students should also have some or develop ability with programming and use of advanced statistical software.
Students majoring in statistics take a minimum of eight statistics courses offered by the Departments of Statistics, Mathematics, or Industrial Engineering and Management Sciences. These include courses in probability, in survey and experimental research, and in various approaches to the statistical analyses of data (STAT 202, 320-1,2,3, 325, 350, and three other 300-level Statistics electives). Details on acceptable patterns of courses for the major in statistics are available in the undergraduate catalog and on the website's link to current courses. The Director of Undergraduate Studies and other members of the faculty can recommend courses that are likely to be most valuable for those with particular interests.