Cornell University

Overview

The Biometry and Statistics program at Cornell University offers a comprehensive bachelor’s degree focused on quantitative analysis, statistical methods, and probability. This program is designed to equip students with the skills necessary to tackle real-world scientific and business challenges through data analysis. You will learn to model uncertainty, design effective studies, and utilize computing tools to derive meaningful insights from data.

What you'll study

Core areas of study typically include:

• Biological statistics: Application of statistical techniques to biological and life-science datasets.
• Probability and inference: Development of models to understand uncertainty and draw conclusions based on data.
• Statistical sampling: Techniques for collecting representative data and addressing sampling variability.
• Linear models and matrix methods: Analytical tools for regression, multivariable analysis, and computational strategies.
• Theory of statistics: In-depth exploration of statistical properties, assumptions, and their implications.

How you progress: The curriculum typically begins with foundational quantitative courses, advancing to more complex modeling and theoretical concepts. Students can choose electives to tailor their education to specific interests, such as applications in life sciences, computing, or applied data analysis, in alignment with degree requirements.

Entry requirements

While specific GRE/GMAT scores are not generally required for undergraduate admission, applicants should be aware that no standardized test scores are mandated for this program. Prospective students are encouraged to check the latest admission guidelines for detailed requirements.

Career prospects

Graduates of the Biometry and Statistics program are well-prepared for a variety of career paths in fields such as healthcare, research, finance, and data analytics. The skills acquired through this program enable students to effectively analyze data, derive insights, and contribute to informed decision-making in diverse professional environments.