In an increasingly data-driven world, the MS in Statistical Sciences prepares you for a range of career possibilities in the statistical/data sciences and helps you stand out in the marketplace.
The need for professionals trained in the mathematical techniques of data science is greater than ever. In this program, you’ll work closely with faculty who have extensive backgrounds in applied mathematics, data science/analytics, computational science, statistics, industrial modeling, and much more. In lieu of one formal course, students may conduct a semester’s worth of independent study with a research advisor that leads to publication of a quality technical report in an area of statistical/data sciences.
Admission to the program requires a BA/BS in math or statistics; if you have an undergraduate degree in a different discipline, you may be admitted if you have adequate undergraduate training in mathematics (multivariate calculus, linear algebra), computing (including familiarity with one or more programming languages, e.g., R, MATLAB, Python) and upper division probability and statistics (i.e., equivalent to math 151/152 at the Claremont Colleges).