Typical admitted student: A bachelor's degree in a related field such as computer science, philosophy, linguistics, or cognitive science is required, along with a minimum GPA of 3.0 and relevant coursework in mathematics, programming, and logic.

About This Program

This graduate program offers an interdisciplinary approach to understanding the mind and machine, drawing on computer science, logic, and cognitive psychology.

Career Outcomes

Lead as NLP Engineer in Cross-Industry AI with artificial intelligence expertise

1. AI Researcher
2. Computational Linguist
3. Human-Computer Interaction Specialist
4. Cognitive Systems Engineer

What You'll Learn

Design computational models of human cognition and reasoning
Analyze language structure using formal semantics and logic
Build AI systems integrating symbolic and neural approaches
Evaluate philosophical foundations of mind and intelligence

Curriculum Highlights

The curriculum allows for personalized study across departments, focusing on human-computer interaction, cognitive science, and intelligent system design.

Top Employers

Top employers include tech companies like Google, OpenAI, Meta, and research institutions such as Stanford AI Lab and Allen Institute for AI.

Admissions

A bachelor's degree in a related field such as computer science, philosophy, linguistics, or cognitive science is required, along with a minimum GPA of 3.0 and relevant coursework in mathematics, programming, and logic.

Application Materials

Statement of Purpose: Required
Letters of Recommendation: 3
Resume: Required
Transcripts: Official transcripts required

Academic Requirements

Degree Required: Bachelor's degree
GRE/GMAT: Optional
TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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