Mathematics

The Department of Mathematics is a center of academic excellence and innovation in mathematical research and education. Our department is committed to advancing the frontiers of mathematical knowledge while preparing students to tackle the world's most pressing challenges through rigorous study and interdisciplinary collaboration.

Founded on a tradition of groundbreaking discoveries and intellectual curiosity, our faculty members are leaders in their fields, shaping a wide array of areas in both pure and applied mathematics. They foster an environment where curiosity thrives, inspiring students at all levels to explore, question, and discover.

Academic Programs and Mathematical Training

The Department of Mathematics offers comprehensive and rigorous educational pathways leading to undergraduate and graduate degrees:

• Undergraduate Program (B.S.): Designed to provide students with a broad understanding of mathematics encompassing logical reasoning, generalization, abstraction, and formal proof. The curriculum teaches students to create, analyze, and interpret mathematical models, and to communicate sound arguments based on mathematical reasoning and careful data analysis. This degree prepares students for careers in the corporate sector, tech industry, and government agencies, as well as for graduate study in mathematics.

• Graduate Programs (M.S. and Ph.D.): Advanced, research-intensive pathways leading to the Master of Science and Doctor of Philosophy degrees in Mathematics, training students to become leaders in mathematical scholarship and inquiry.

Research Frontiers and Mathematical Discovery

At Stanford Mathematics, we are dedicated to nurturing a vibrant community of scholars and learners who are passionate about mathematics. Key areas of academic and scientific focus include:

• Pure and Applied Mathematics: Conducting foundational research that shapes diverse branches of mathematical theory and practical application.

• Modeling and Interpretation: Training scholars to build, analyze, and evaluate mathematical models to investigate complex scientific and societal phenomena.

• Reasoning and Proof: Cultivating advanced techniques in abstraction, logical generalization, and formal mathematical proof to solve deep theoretical challenges.