CA

PhD in AI
On-Campus

University of California, Berkeley

PhD in Electrical Engineering & Computer Science

  • Berkeley
About This Program

This research-intensive doctoral program pairs students with world-class faculty to conduct original research, preparing them for leading roles in academia and industry labs.

Student Reviews
Write a Review
What You'll Learn

Students gain deep theoretical and practical knowledge in their chosen specialization while developing advanced research, teaching, and professional leadership skills.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The program structure includes advanced technical coursework, a qualifying examination, and a significant original dissertation that expands the boundaries of EECS knowledge.
Typical Course Topics
1. Combinatorial Algorithms and Data Structures 2. Randomness and Computation 3. Computational Geometry 4. Cryptography 5. Computer Vision 6. Advanced Machine Learning
Program Specializations:
Natural Language Processing (NLP)
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants typically hold a bachelor's or master's degree in electrical engineering, computer science, or a related field with a strong GPA (3.7+), research experience, and technical background; interviews with faculty may be conducted.
Academic Requirements (Typical)

• Degree Required: Bachelor’s or Master’s in related field
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 90+ / IELTS 7.0+)

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 Engineering AI through teaching

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
Research Scientist: $150,000 Professor: $140,000 Machine Learning Engineer: $160,000
Total compensation (entry to mid-level)
AI Job Growth
15.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. University Professor 2. Research Scientist 3. Machine Learning Engineer 4. Hardware Systems Architect
Top AI Employers (Industry-Wide):
Top employers include Google, Meta, Apple, NVIDIA, and national research labs like Lawrence Berkeley National Laboratory.
Explore AI Career Paths
Program Details
Duration
  • 5 Year
Tuition
  • 33,700
Format
On-Campus
Specializations
Natural Language Processing (NLP)
Machine Learning
Official Resources
Program Website
Request Information