Statistical Science (BA)

College of Arts and Sciences

Program Website

Program Description

Quantitative reasoning, predictive modeling, and data-driven discovery are central to modern inquiry in the biological, physical, and social sciences. Many of today’s most important questions involve complex systems, large and high-dimensional data sets, and substantial uncertainty. These challenges require methods from statistics, data science, computation, and artificial intelligence. Advances in computing now enable more sophisticated approaches to analysis, modeling, and interpretation across many scientific and applied domains.

Statistical Science, offered by the Department of Statistics and Data Science, focuses on applying statistical, mathematical, and computational methods to problems in the sciences, business, and related fields. The major emphasizes the quantitative foundations of scientific and data-driven inquiry, including study design, measurement, data analysis, statistical modeling, machine learning, and inference under uncertainty. Students with strong preparation in mathematics and an interest in quantitative applications will find the major rewarding.

Graduates are prepared for a broad range of opportunities in research, teaching, consulting, computing, and data analysis across academia, government, industry, health, technology, and business.

Academic Standards

Admission to the Major

Prerequisites to apply for the major include a minimum 2.50 cumulative GPA and grades of C or higher in the following courses to ensure foundational mathematical, computational and statistical ability:

Calculus I

Calculus II

Statistical Methods I

Adding the Statistical Science Major

First-year and sophomore students adding Statistical Science as a major must have credit in Calculus I, Calculus II and Statistical Methods I.

Juniors and seniors adding Statistical Science as a major must have credit in Calculus I, Calculus II, Statistical Methods I, Multivariable Calculus, Linear Algebra, and Statistical Methods II.

Once in the major, all courses must be taken for a letter grade and students must earn a grade of C- or above.

Academic Standing

Courses required for the major must be taken for letter grades. To remain in good standing in the major, a student must have:

  • A GPA of at least 2.30 in all courses required for the major, including advanced electives.

  • Grades of C- or better in every required course. If a student receives a lower grade in a required course, the course can be retaken until a C- or better is earned, or the requirement can be satisfied by another course.

Transfer and Study Abroad Courses

Students may petition the Director of Undergraduate Studies to count transfer courses, study abroad courses and/or other relevant Cornell coursework towards core or elective requirements. Credits must be approved by the Department of Statistics and Data Science and CALS before courses can be applied towards the major.

Honors Program

Beginning with the December 2026 degree conferral date, Statistical Science students can earn “Honors in Statistics and Data Science” by meeting the following requirements:

  1. A cumulative GPA >= 3.50 ​

  2. Enrollment in STSCI 4990 STSCI 4990 for 3 or more credits. Through this course the student will complete Independent Research with a Statistics and Data Science faculty member, with grades of A- or better. 

At least one STSCI course (at least 3 credit hours) at or above the 4000 level with a grade of A- or better; no seminar or 2-credit project courses.