Stanford University
BS in Symbolic Systems - Artificial Intelligence Concentration
How this program compares
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Admission Snapshot
Typical admitted student: Applicants must have a high school diploma with strong academic performance (GPA typically 3.8+) and competitive standardized test scores (SAT 1470+ or ACT 33+). Stanford's admission process is highly selective and considers extracurricular achievements, essays, and demonstrated interest in computer science and artificial intelligence.
About This Program
This interdisciplinary program explores the relationship between natural and artificial systems, combining computer science, psychology, philosophy, and linguistics.
Career Outcomes
Enter AI Research Scientist career in Cross-Industry AI with machine learning focus
- 1. Machine Learning Engineer
- 2. AI Research Scientist
- 3. Robotics Engineer
- 4. AI/ML Product Manager
What You'll Learn
- Design and implement neuro-symbolic systems that combine deep learning with logical reasoning for flexible problem-solving and transfer learning across domains.[1]
- Apply compositional learning frameworks to build agents capable of understanding visual concepts, natural language instructions, and robotic control tasks.[1]
- Develop algorithms for continual learning and concept acquisition from multimodal data streams with data-efficient training methods.[1]
- Integrate symbolic program execution with neural perception to enable question answering, reasoning about unseen tasks, and human-AI instruction interpretation.[1]
Curriculum Highlights
The concentration includes core courses in logic and probability, plus advanced study in machine learning, natural language processing, and neural networks.
Top Employers
Top employers include Google, OpenAI, DeepMind, Microsoft, Meta, and leading robotics companies like Boston Dynamics and Tesla.
Admissions
Applicants must have a high school diploma with strong academic performance (GPA typically 3.8+) and competitive standardized test scores (SAT 1470+ or ACT 33+). Stanford's admission process is highly selective and considers extracurricular achievements, essays, and demonstrated interest in computer science and artificial intelligence.
Application Materials
- Personal Essays: Required
- Letters of Recommendation: 2β3
- Transcripts: Official high school transcripts required
- Standardized Test Scores: SAT or ACT required
Academic Requirements
- Degree Required: Bachelor of Science (BS)
- GRE/GMAT: Not Required (undergraduate degree)
- TOEFL/IELTS: Required for international students (TOEFL 100+, IELTS 7.0+)
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