Cornell University Campus
S. Bachelor
On Campus
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Cornell University
Ithaca
United States

Statistical Science

About

The Bachelor of Arts in Statistical Science at Cornell University provides a comprehensive and mathematically grounded education in data analysis, probability theory, and statistical modeling. Designed to meet the growing demand for data-literate thinkers, the program equips students with the skills to extract meaning from data, build predictive models, and make sound decisions under uncertainty. Blending theory with application, students learn how statistical reasoning supports scientific discovery, business strategy, policy development, and innovation across diverse fields.

Over four years, students develop proficiency in statistical computing, experimental design, and machine learning, while also gaining exposure to ethical considerations in data use. The curriculum encourages interdisciplinary exploration, with options to connect statistics to biology, economics, psychology, computer science, and more. Students work closely with faculty, often engaging in research or consulting projects that apply statistics to real-world problems. This balance of rigorous theory and practical experience prepares graduates to work effectively with complex data and communicate their insights clearly and responsibly.

Key information

Duration
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Tuition fee
$71,266.00/year
Start dates & application deadlines
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More details
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Key Facts

  • Program Title: Statistical Science
  • Degree Type: S. Bachelor
  • Duration: 4 years
  • Mode of Study: Full-time, On Campus
  • Application Deadline: 02 January 2026
  • Location: Cornell University, United States
  • Field of Study: Statistics
  • Language of Instruction: English

Program Structure

Year 1 – Mathematical and Analytical Foundations

  • Introduction to Statistical Science
  • Calculus I & II
  • Linear Algebra
  • Writing Seminar in Analytical Thinking

Year 2 – Probability and Statistical Inference

  • Probability Theory
  • Statistical Computing with R or Python
  • Statistical Inference
  • Elective in Data Ethics or Logic

Year 3 – Applied Methods and Modeling

  • Regression Analysis and Model Selection
  • Statistical Learning or Multivariate Analysis
  • Elective in Time Series, Design of Experiments, or Bayesian Methods
  • Research Methods or Consulting Practicum

Year 4 – Advanced Topics and Capstone Experience

  • Senior Seminar in Statistical Applications
  • Independent Research Project or Honors Thesis
  • Advanced Elective in Machine Learning, Causal Inference, or Big Data
  • Professional Development or Data Communication Workshop

Career Opportunities

Graduates of the Statistical Science program at Cornell are highly sought after in industries that rely on quantitative reasoning and data interpretation. They enter careers in finance, healthcare analytics, government research, tech, education, and consulting, taking on roles such as data analyst, statistical programmer, research scientist, risk modeler, and policy analyst. Employers include research firms, financial institutions, public health agencies, and tech companies that depend on data-driven strategies. Many graduates also pursue advanced degrees in statistics, biostatistics, data science, econometrics, or applied mathematics, positioning themselves for leadership roles in data-intensive fields. With strong skills in computation, reasoning, and communication, Cornell graduates are prepared to contribute effectively in a world increasingly shaped by data.

Why Choose This Program

Cornell’s Statistical Science program offers a rigorous, versatile, and future-ready education for students who want to turn data into meaningful knowledge. The curriculum is designed not only to build strong technical skills but also to encourage critical thinking about the use and impact of data in society. With access to expert faculty, advanced computing resources, and interdisciplinary collaboration across campus, students receive a well-rounded and research-informed education. Whether your goal is to support scientific discovery, improve decision-making, or innovate through data, this program provides the foundation, flexibility, and practical experience to help you succeed in any data-driven career.

Contact Information

For further information, please contact the admissions office at:
Phone: +1 607 255 2000
Email: admissions@cornell.edu
Address: Cornell University, Ithaca, NY 14850, United States