GA

PhD in AI
On-Campus

University of Georgia

PhD in Artificial Intelligence

  • Athens
About This Program

This terminal, research-based doctoral program prepares students for advanced careers in academia or industry by fostering original research in cognition, computation, and intelligent systems.

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What You'll Learn

Students develop deep expertise in areas such as machine learning, data science, robotics, and natural language processing, while mastering original research methodologies and ethical policy considerations.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum requires a minimum of 40 graduate course hours, including core seminars in ethics and data mining, plus a dissertation representing independent thinking and technical mastery.
Typical Course Topics
1. Advanced Machine Learning 2. Deep Learning Algorithms 3. Theoretical Foundations of AI 4. Reinforcement Learning 5. Natural Language Processing 6. Computer Vision
Program Specializations:
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A master's degree in computer science, mathematics, or a related field is typically required, along with a strong GPA, research experience, and programming proficiency in languages like Python. GRE scores are often optional but recommended for competitive applicants.
Academic Requirements (Typical)

• Degree Required: Master’s degree preferred
• GRE/GMAT: Optional
• 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

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 natural language processing

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
AI Research Scientist: $145,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI Research Scientist 2. Machine Learning Engineer 3. AI Professor/Academic Researcher 4. Principal AI Architect
Top AI Employers (Industry-Wide):
Top employers include Google, Microsoft, OpenAI, Amazon, and research institutions like national labs and universities.
Explore AI Career Paths
Program Details
Duration
  • 4 Year
Tuition
  • 30,096
Format
On-Campus
Specializations
Official Resources
Program Website
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