Required Background
Interdisciplinary Data Science

Students must have earned a Bachelor's degree from an accredited institution and have a minimum of 3.0 GPA (B or better average) on the last 60 hours of undergraduate credits. Students must be in good standing at the institution of higher learning last attended.

The following math courses are required prerequisites for admission to the math major.

Students should also have some experience in a programming language, such as C, C++, Fortran, Python, Julia, Matlab.

Recommended Background

In addition to the required background, students are recommended to study numerical methods of mathematics, such as a course on Numerical Methods, Numerical Analysis, or Scientific Computing.


As a part of their application, students will provide a statement of intent and CV, or résumé; and identify three recommenders who will write recommendation letters discussing the student's aptitude for graduate study. To start your application, click on the Apply Now link below.

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