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  1. The B.S. in Data Science is an ideal major to prepare students for graduate study in quantitative fields such as computer science and statistics, and for careers in a range of industries that require quantitative work, such as information technology and finance. Ready to join our community?

  2. B.S. in Data Science. Formerly named Mathematical & Computational Science, a degree program for students who want to master the foundations of data science in mathematics, statistics, computer science, and optimization, confidently deploying their skills to innovative lines of inquiry.

  3. BS Tracks. Program Sheets; BS Requirements. Math Requirements; Science Requirements; Engineering Fundamentals; Technology in Society; Core Requirements; Depth Requirements; Eligible Humanities Electives; Senior Project; Writing in the Major Requirement; Petitions, Deviations, & Transfer Credits; Honors Program; How to Declare; CS Minor ...

  4. For the 2023–24 and 2024–25 admission cycles, Stanford will not require ACT or SAT scores for first-year or transfer applicants. See details Our test optional policy will extend to applicants applying for the Fall 2025 entry term.

  5. The undergraduate program in Computer Science aims to develop students’ breadth of knowledge across the subject areas of computer science, including their ability to apply the defining processes of computer science theory, abstraction, design, and implementation to solve problems in the discipline. Students take a set of core courses.

  6. Department of Computer Science. BS Requirements. Develop a stronger understanding of the courses needed to complete the CS program. Learn More. Summer 2023 - CURIS Poster Session. BS Research Opportunities. The CS Department has faculty and students that are globally recognized for their innovative and cutting-edge research. CURIS Research.

  7. Bachelor of Science (B.S.), Electrical Engineering | Stanford Electrical Engineering. Home. B.S. EE Program Overview. Our program develops students’ skills in performing and designing experimental projects and communicating their findings to the scientific community effectively.