Mathematics majors who wish to attend graduate school in statistics are not the only students who should consider taking multiple upper division courses in statistics. Students whose future job will involve data analysis, students interested in research in a scientific discipline, students who are required to take research methods courses in their own disciplines, and students who prefer applied mathematics over theory may find the department's statistics courses to be especially beneficial. The three introductory statistics courses are quite different from one another. Fundamentals of statistics, Math 125, is the least demanding introductory statistics course and is aimed at students in a variety of disciplines. Introductory Biostatistics, Math 225, covers the material in Math 125 and several other topics as well.
Most examples are from the health sciences and biology.
In addition to the regular lecture, Math 225 contains a computer lab component in which students use statistical software to augment learning. Each of these two introductory courses has no prerequisites beyond high school algebra. I, is a calculus-based introduction to probability and statistics, focusing primarily on probability and random variables. Students majoring in mathematics, secondary mathematics education, and computer science are the primary target audience, but students in the physical sciences may benefit. A year of calculus is a prerequisite for the course.