This course of study consists of a very strong selection of courses and an honors thesis. It is designed to give individual highly-motivated students an especially strong foundation in modern statistical reasoning.
Recognition for completion of this program is entered on the student's permanent Washington University record.
The course and thesis requirements of the Honors Program in Statistics can also apply toward earning the A.B. degree with Latin Honors, but Latin Honors are not automatic. For Latin Honors, all the Latin Honors requirements (for example, math and overall GPA) must be satisfied as well.
The department can assist students in the program with finding an opportunity for a practicum, which consists of hands-on field work under the supervision of a professional mentor - either a faculty mentor or a mathematical scientist in industry or at a government research facility. For example, students can undertake a practicum with Washington University faculty in the mathematics department, at the medical school, or in other Arts & Sciences departments such as biology, economics or psychology. The practicum can be a major asset in job hunting or graduate school applications.
Students who successfully complete the program should be in a strong position to continue into graduate work in the field or to find jobs.
Honors Statistics is a challenging four-year curriculum. The sooner one embarks on the program, the better; otherwise it will be difficult or impossible to complete all the required coursework. The requirements are given below (and laid out for incoming freshmen who have placed out of Calculus I and II and are therefore ready to take Math 3200 (Elementary to Intermediate Statistics with Data Analysis) in the fall of their freshman year concurrently with Calculus III.
The typical program for a student in Honors Statistics is outlined in the following table.
Math 233: Calculus III
Math 3200: Elementary to Intermediate Statistics with Data Analysis
Math 309: Matrix Algebra
Math 322: Biostatistics
Math 318: Calculus of Several Variables
Math 493: Probability
Math 310: Foundations for Higher Mathematics
Math 494: Mathematical Statistics
Third & Fourth Years
(courses spread over fall and spring semesters)
Math 4111 Introduction to Analysis
Math 429 Linear Algebra
Math 475 Statistical Computation (using SAS)
Math 4121 Introduction to Lebesgue Integration
Three additional upper level electives (two of these in probability/statistics) selected in consultation with the program advisor
Small modifications in the program may be approved in consultation with the program advisor.