THE TOP 4 THINGS TO CONSIDER WHEN PLANNING A MAJOR IN STATISTICS
Calculus I and II are required for the Probability and Stochastic Processes and Mathematical Statistics courses. It is advised to complete this math sequence so that students have flexibility in completing the major. Students considering graduate school in statistics will also need to complete Calculus III and Linear Algebra to be considered for admission. This means completing Calc I and II quickly helps give flexibility in completing the degree program and be ready for graduate school if this is a desired path.
We find students perform better in Mathematical Statistics if they previously took the Probability and Stochastic Processes course. This isn’t a formal prerequisite, but an informal suggestion from faculty and former students.
It should be noted that several core courses are only offered in specific semesters on a regular basis: Data Analysis (Fall), Probability and Stochastic Processes (Fall), Mathematical Statistics (Spring).
In general, a statistics major will need to be proficient in mathematics, statistics, computing, and some data science aspects. Thus, we encourage students to obtain background in all of these areas. We also find it helpful if a student can develop another application area of statistics such as, economics, psychology, biology, etc. This gives an applied context for the statistical methods that are learned in the major.