TX

PhD in AI
On-Campus

Duke University

PhD in Computer Science (AI/ML/Robotics)

  • Houston
About This Program

This research-intensive doctoral program prepares students for leadership in academic and industrial research through advanced study in computer science.

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What You'll Learn

Students master theoretical foundations, research methodologies, and specialized knowledge in algorithms, artificial intelligence, and robotics.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
Typical Course Topics
1. Advanced Machine Learning and Deep Learning 2. Neural Networks and Generative AI 3. Natural Language Processing (NLP) 4. Computer Vision and Image Analysis 5. Reinforcement Learning and Autonomous Systems 6. AI Ethics, Fairness, and Governance
Program Specializations:
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants typically hold a Bachelor's degree in Computer Science or related field with strong performance in mathematics and programming. GRE scores, prior research experience, and demonstrated interest in AI/ML research are typically required or strongly preferred.
Academic Requirements (Typical)

• Degree Required: PhD in Computer Science
• GRE: Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 3
• Resume: Required
• Transcripts: Official transcripts required
• Research Statement or Portfolio: Often required for PhD programs

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

Check Application Deadlines
Career Opportunities in AI

Pursue advanced AI Research Scientist in Cross-Industry AI through artificial intelligence

Estimated Industry Salary
Artificial Intelligence/Machine Learning Researcher: $130,000 AI Systems Engineer: $125,000 Robotics Engineer: $115,000 Data Scientist (AI-focused): $120,000
Total compensation (entry to mid-level)
AI Job Growth
21.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI/Machine Learning Research Scientist 2. Autonomous Systems Engineer 3. Robotics Engineer 4. AI Strategy and Ethics Consultant
Top AI Employers (Industry-Wide):
Top employers include Google, OpenAI, Tesla, Boston Dynamics, Meta, Microsoft Research, academic institutions, and government research laboratories (DARPA, NIST, national labs).
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Program Details
Duration
  • 5 Year
Tuition
  • -
Format
On-Campus
Specializations
Official Resources
Program Website
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