Minor in Statistics and Data Science

Program Overview

The minor in Statistics and Data Science gives students experience manipulating, summarizing, and visualizing data and applying statistical and machine learning methods.  Students are exposed to the principles of and tools for conducting reproducible data analysis and are taught to think critically about relevant ethical issues (e.g., data privacy, misrepresentation of findings).  The program bolsters students' training in statistics and data science to enhance their preparation in their major field as well as strengthen their position to enter the workforce or graduate school.

SDS majors are not eligible to receive credit for the minor.  However, students who drop the major may be able to count certain courses toward the minor.

For questions about how to fit this minor into your other coursework, contact your major advisor.  For questions about our minor policies, email us at stat.admin @austin.utexas.edu and include your UT EID.

Prerequisites

The SDS minor is open to all UT undergraduate students.  To be successful in the minor, students should have sufficient background in mathematics such that they could succeed in a college-level calculus course.  For example, they should have earned an appropriate score on the Mathematics placement exam to place into calculus, or completed Mathematics 305G with a grade of at least B-, or a mathematics exam (e.g., AP, CLEP) credit accepted by UT Austin, or a course transfer credit accepted by UT Austin for a calculus course or Math 305G equivalent.  While calculus is not a prerequisite for the minor, it may be required for some of the elective courses.