Course Overview

The Statistics program at Columbia University is designed to provide students with a strong foundation in statistical theory, methods, and applications. Offered through the Department of Statistics, the curriculum emphasizes both theoretical and applied aspects of statistics, preparing students for data-driven decision-making across various fields. Unique features include access to cutting-edge research opportunities and interdisciplinary collaboration with other departments such as economics, biology, and social sciences.

Career Prospects

Graduates of this program are well-equipped for careers in industries such as finance, technology, healthcare, and government. The program’s focus on analytical skills and data interpretation ensures high demand in roles involving data analysis and predictive modeling.

Key Faculty and Staff

The department includes renowned faculty with expertise in areas such as Bayesian statistics, machine learning, and biostatistics. While specific names are subject to change, the faculty are recognized leaders in their fields, contributing to both academic research and industry applications.

Unique Facilities and Partnerships

Students benefit from access to advanced computational resources and data science labs at Columbia University. The university also maintains strong ties with industry partners in New York City, offering opportunities for internships and collaborative projects in one of the world’s leading financial and technological hubs.