Columbia University Campus
S. Bachelor
On Campus
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Columbia University
New York
United States

Statistics

About

The Statistics Bachelor of Science program at Columbia University is a four-year, full-time undergraduate program designed to provide students with a comprehensive foundation in statistical theory, data analysis, and applied quantitative methods. The curriculum emphasizes mathematical reasoning, probability theory, and statistical modeling, equipping students with the skills to analyze complex data, interpret results, and make informed decisions across a wide range of disciplines. Students gain expertise in both theoretical and computational aspects of statistics, preparing them for research, professional practice, and further graduate study.

The program combines classroom instruction, laboratory experiences, and applied projects to ensure students develop practical and analytical skills. Columbia emphasizes interdisciplinary learning, allowing students to apply statistical methods to fields such as economics, biology, political science, environmental science, and computer science. Faculty mentorship, collaborative research, and hands-on experiences provide students with opportunities to work with real-world datasets, utilize advanced computational tools, and engage in rigorous problem-solving. Graduates emerge with a deep understanding of statistical theory, practical analysis, and the ability to communicate insights effectively.

Key information

Duration
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Tuition fee
$70,170.00/year
Start dates & application deadlines
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More details
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Key Facts

  • Program Title: Statistics
  • Degree Type: S. Bachelor
  • Duration: 4 years
  • Mode of Study: Full-time, On Campus
  • Application Deadline: 01 January 2026
  • Location: Columbia University, United States
  • Field of Study: Statistics
  • Language of Instruction: English

Program Structure

Year 1 – Foundations in Statistics

  • Introduction to Statistical Theory
  • Calculus and Linear Algebra for Statistics
  • Data Analysis and Visualization
  • Principles of Probability

Year 2 – Intermediate Methods and Applications

  • Regression Analysis and Statistical Modeling
  • Experimental Design and Survey Methods
  • Computational Statistics and Programming
  • Elective: Biostatistics, Econometrics, or Data Science

Year 3 – Advanced Statistical Techniques

  • Multivariate Analysis and Time Series
  • Statistical Inference and Bayesian Methods
  • Elective: Machine Learning, Applied Probability, or Stochastic Processes
  • Research Practicum or Independent Study

Year 4 – Capstone and Professional Preparation

  • Advanced Statistical Modeling and Simulation
  • Seminar in Contemporary Statistical Applications
  • Senior Thesis or Applied Research Project
  • Internship or Professional Development Experience

Career Opportunities

Graduates of this program are prepared for careers in data analysis, financial modeling, research institutions, public policy, technology companies, and healthcare analytics. Many work as statisticians, data analysts, quantitative researchers, or data scientists, applying statistical methods to solve complex problems and inform decision-making. Others pursue graduate studies in statistics, biostatistics, data science, or related fields, leveraging the program’s strong theoretical and practical foundation. The combination of analytical rigor, computational skills, and applied experience equips graduates to thrive in both professional and academic environments.

Why Choose This Program

This program is ideal for students who want to develop deep expertise in statistical theory and practical data analysis skills applicable across multiple fields. Columbia University provides a rigorous academic environment, expert faculty mentorship, and access to advanced computational resources. The four-year curriculum balances theoretical understanding with applied practice, preparing graduates to conduct research, analyze complex datasets, and make informed, data-driven decisions. For those committed to pursuing careers in statistics, data science, or quantitative research, this program provides the knowledge, experience, and professional network necessary to excel and make an impact.

Contact Information

For further information, please contact the admissions office at:
Phone: +1 212 854 1754
Email: admissions@columbia.edu
Address: University of Columbia, Admissions Office, New York, NY, United States