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  1. Explore majors, joint majors, minors, honors, interdisciplinary programs, and coterm programs here. For the most up-to-date information about Majors and Programs, please refer to the programs section of the bulletin.

  2. Stanford offers a wide range of programs, classes, internships, and an entire online high school. Our world-class faculty challenge young people to explore and achieve – through STEM research, internationally focused courses, and arts experiences. Pre-K to College Readiness.

  3. undergrad.stanford.edu › programsPrograms | Undergrad

    Going to college is not just about acquiring the ability to make a living; it’s also about developing the skills that empower and enable us to live together: in our own communities, in a diverse nation, and in a globally connected society. Civic, Liberal, and Global Education.

  4. Stanford offers the following degrees: BA, BS, BAS, MA, MS, PhD, DMA, MD, MBA, MSM, JD, JSD, JSM, LLM, MFA, MLS, MLA, MPP, ENG. Graduate School of Business. Dean: Jonathan Levin. Stanford Graduate School of Business (GSB) empowers leaders to change lives, change organizations and change the world.

  5. The School of Engineering is home to 10 departmental and six interdepartmental major programs. Undergraduate Handbook. For details on program objectives and requirements, see the Handbook for Undergraduate Engineering Programs (UGHB) website. Here you will find a Major Programs page and requirements listed for Minor Programs and Honors Programs.

  6. The undergraduate major in computer science offers a broad and rigorous training for students interested in the science of computing. The track structure of the CS program also allows you to pursue the area(s) of CS you find most interesting while giving you a solid overall foundation in the field. As part of the CS major, students complete a ...

  7. School of Humanities and Sciences. The B.S. in Data Science is the successor to the major in Mathematical and Computational Science (MCS).The goals of our program remain ambitious: we aim to provide a broad and deep understanding of the foundations of the discipline, training nimble and versatile data scientists.