Program Directory

Develop the mathematical knowledge to assess and manage financial risk, essential for a career in insurance and finance. The curriculum, aligned with the Society of Actuaries and the Casualty Actuarial Society professional exams, combines advanced mathematics, statistics, and financial theory. Graduate ready for certification and equipped with the quantitative skills employers demand.

With a bachelor of arts in statistical science, you’ll apply quantitative reasoning across scientific and social contexts. Our interdisciplinary approach gives you the freedom to design a program that’s as unique and multidimensional as you are. 

With a bachelor’s degree in biometry and statistics, you’ll apply mathematical and statistical techniques to real-world problems across science, health, agriculture, and more. Our interdisciplinary approach gives you the freedom to design a program that’s as unique and multidimensional as you are. 

Learn to design investigations, analyze biological data, and solve complex problems across science, health, and business. Whether you're drawn to cutting-edge research, healthcare innovation, environmental protection, or business consulting, employers are looking for people who can work confidently with data and this program equips you to do just that.

Master data-driven decision-making through Cornell's cross-disciplinary minor. Build essential programming skills in Python, R, and other industry tools while gaining a solid foundation in data-driven discovery. Our flexible curriculum combines with any major, equipping you with the practical data science expertise that today's employers demand.

With a Master of Professional Studies (MPS) in Data Science and Applied Statistics, you'll gain advanced technical skills that prepare you for data-driven roles across nearly every industry.

Cornell's Ph.D. in Statistics prepares future leaders in statistical research and innovation. Students develop comprehensive expertise in creating and implementing novel statistical methods, proving mathematical properties of statistical approaches, collaborating with researchers across disciplines, and solving complex real-world problems. 

The Ph.D minor in Data Science is designed for doctoral students interested in understanding the methods of data gathering and analysis.

The Ph.D minor in Statistics is designed for doctoral students seeking to develop strong theoretical and practical foundations in statistical methods and analysis. The Field of Statistics offers three distinct minor options for Ph.D. students.

Theory + Methods
Emphasizes theoretical foundations in probability, mathematical statistics, and advanced statistical theory.