Applied mathematics and statistics are disciplines devoted to the use of mathematical methods and reasoning to solve real-world problems of a scientific or decision-making nature in a wide variety of subjects, principally (but not exclusively) in engineering, medicine, the physical and biological sciences, and the social sciences. Applied mathematical modeling often involves the use of systems of (partial) differential equations to describe and predict the behavior of complex real-world systems that unfold dynamically in time. Statistics, construed broadly, is the study of uncertainty: how to measure it (using ideas and methods in probability theory), and what to do about it (using concepts from statistical inference and decision theory).
The mission of the Department of Applied Mathematics and Statistics is:
through excellence in research and teaching.
AMS strives to achieve excellence in various areas including:
AMS is committed to teaching excellence. For undergraduates, we offer a variety of courses at the lower and upper division levels, which can be used to cover Quantitative (Q) or the Introduction to Discipline (IN) requirements. This includes an ongoing collaboration with the Mathematics department in teaching Math11A and Marth11B. We have also introduced a minor in Applied Mathematics & Statistics and plan to start a major in Applied Mathematics & Statistics sometime in the future. At the graduate level, we offer a program in Statistics and Stochastic Modeling (with the posibility of an annotation on Applied Mathematics), as well as a number of courses that are regularly taken by graduate students in other programs.