Stanford University

Overview

The Symbolic Systems Master’s program at Stanford University offers an interdisciplinary approach to understanding the connections between cognition, language, logic, and computation. This program is designed for students interested in exploring the interplay of these elements in both human and artificial systems. By integrating coursework and research, students develop a strong technical foundation while gaining valuable insights from the humanities and social sciences.

What you'll study

Core learning components

• Symbolic Systems Research Seminar
• Master’s Degree Project (capstone research component)
• Master’s Program Seminar
• Peer Advising in Symbolic Systems: Practicum
• Curricular Practical Training (where applicable)

Additional coursework (examples)

• Senior Honors Tutorial
• Independent Study
• Cognition in Interaction Design
• Building Digital History: Social Movements and Protest at Stanford

Students typically engage in seminar-based learning combined with research practice, culminating in a Master’s degree project. The exact course mix may vary based on the student's background and the track through which they enter the program.

Entry requirements

Currently, there are no specific GRE, GMAT, or GPA requirements listed for the program. However, proficiency in English is necessary for non-native speakers.

English requirements

Applicants are required to demonstrate their English language proficiency. The accepted test is the TOEFL iBT, with a minimum score requirement that reflects the ability to succeed in an academic environment.

Career prospects

Graduates of the Symbolic Systems program are well-equipped for various career paths in technology, research, education, and beyond. The interdisciplinary nature of the degree allows for diverse opportunities in fields such as artificial intelligence, cognitive science, human-computer interaction, and digital humanities. With a strong foundation in both technical and theoretical aspects, graduates are positioned to tackle complex challenges in an increasingly digital world.