University of Georgia

How this program compares

At an estimated $30.1K in total tuition, the PhD in Artificial Intelligence sits roughly 64% below the $82.9K average for AI doctoral programs in our database — placing it in the 12th percentile on cost among the 42 we track at this level.

Admission Snapshot

Typical admitted student: 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.

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. Coursework concentrates on Artificial Intelligence & Machine Learning and AI Engineering / Applied AI. Most students complete it in about 4 years.

Estimated total tuition is $30.1K, below the $82.9K average for AI doctoral programs in our database and in the 12th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Pursue advanced AI Research Scientist in Cross-Industry AI through natural language processing Graduates frequently move into roles such as AI Research Scientist, with reported salaries around $145,000.

Career Outcomes

Pursue advanced AI Research Scientist in Cross-Industry AI through natural language processing

• 1. AI Research Scientist
• 2. Machine Learning Engineer
• 3. AI Professor/Academic Researcher
• 4. Principal AI Architect

What You'll Learn

• Design and implement advanced AI models for complex problem-solving
• Conduct original research in machine learning and AI theory
• Analyze and optimize AI systems for scalability and ethics
• Apply AI techniques to domains like vision, language, and robotics

Curriculum Highlights

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.

Top Employers

Top employers include Google, Microsoft, OpenAI, Amazon, and research institutions like national labs and universities.

Admissions

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.

Application Materials

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

Academic Requirements

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