Course Overview

The Symbolic Systems program at Stanford University is an interdisciplinary undergraduate major that explores the relationship between human cognition, artificial intelligence, and computational systems. It combines elements of computer science, psychology, linguistics, philosophy, and other fields to address how symbols are used in thought, language, and technology. A unique feature of this program is its focus on integrating technical and humanistic perspectives, preparing students to tackle complex problems in areas like AI, human-computer interaction, and cognitive science.

Career Prospects

Graduates of the Symbolic Systems program are well-positioned for careers in technology, research, and innovation. Many alumni pursue roles in software development, artificial intelligence, user experience design, and data science, often at leading tech companies. Others continue to graduate studies in fields such as computer science, cognitive science, or law.

Key Faculty and Staff

The program is supported by distinguished faculty from multiple departments at Stanford, including notable figures in computer science and cognitive science. Specific faculty involvement may vary by year and student focus area, but the program benefits from access to world-class researchers and educators.

Unique Facilities and Partnerships

Students in the Symbolic Systems program have access to Stanford’s cutting-edge facilities, including advanced computing labs and research centers focused on artificial intelligence and human-computer interaction. The university’s location in Silicon Valley also provides unparalleled opportunities for internships and collaborations with leading tech firms.