University of North Carolina at Chapel Hill

How this program compares

At an estimated $126.0K in total tuition, the PhD in Computer Science (AI, Vision) sits about 52% above the $82.9K average for AI doctoral programs in our database — placing it in the 79th percentile on cost among the 42 we track at this level.

Admission Snapshot

Typical admitted student: A master's or bachelor's degree in computer science or related field with strong GPA (3.5+), research experience, and technical background in programming, algorithms, and mathematics is typically required. GRE scores are often optional, with emphasis on research potential demonstrated through publications or projects.

About This Program

This research-intensive doctoral program prepares teachers and researchers to advance the design and application of real-world computer systems and AI. Coursework concentrates on Computer Vision and AI Engineering / Applied AI. Most students complete it in about 5 years.

Estimated total tuition is $126.0K, above the $82.9K average for AI doctoral programs in our database and in the 79th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Command advanced AI Research Scientist in Cross-Industry AI through computer vision Graduates frequently move into roles such as AI Research Scientist, with reported salaries around $145,000.

Career Outcomes

Command advanced AI Research Scientist in Cross-Industry AI through computer vision

• 1. AI Research Scientist
• 2. Computer Vision Engineer
• 3. Machine Learning Professor
• 4. AI Technical Lead

What You'll Learn

• Design and implement advanced AI models for complex problem-solving
• Conduct original research in computer vision and image analysis
• Develop machine learning algorithms for multimodal data processing
• Analyze and optimize AI systems for real-world applications

Curriculum Highlights

The structure includes breadth requirements in theory and formal methods, followed by specialized research in robotics, computer vision, and deep learning.

Top Employers

Top employers include Google, Meta, Microsoft Research, NVIDIA, and government labs like DARPA.

Admissions

A master's or bachelor's degree in computer science or related field with strong GPA (3.5+), research experience, and technical background in programming, algorithms, and mathematics is typically required. GRE scores are often optional, with emphasis on research potential demonstrated through publications or projects.

Application Materials

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

Academic Requirements

• Degree Required: Bachelor's or Master's in Computer Science or related field
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)