CA

Master's in AI
On-Campus

University of California, Berkeley

MEng in EECS – Computer Vision & AI

  • Berkeley
About This Program

A professional degree that integrates advanced engineering coursework with leadership training for high-tech industry careers.

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What You'll Learn

Students learn cutting-edge techniques in computer vision, image processing, and the deployment of artificial intelligence systems.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum includes technical concentration courses, leadership modules, and an industry-focused capstone project in computer science.
Typical Course Topics
1. Computer Vision Fundamentals 2. Deep Learning for Vision 3. Convolutional Neural Networks 4. Generative Models in Computer Vision 5. Natural Language Processing for Multimodal AI 6. AI Systems and Responsible AI
Program Specializations:
Computer Vision
Natural Language Processing (NLP)
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in computer science, electrical engineering, or a related technical field with a strong GPA (typically 3.5+) and relevant coursework in programming, linear algebra, and machine learning is required. Prior research or professional experience in AI or computer vision is highly recommended.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• 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.

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Career Opportunities in AI

Lead as Computer Vision Engineer in Engineering AI with computer vision expertise

Estimated Industry Salary
AI/ML Engineer: $150,000 Computer Vision Engineer: $145,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Computer Vision Engineer 2. AI Research Engineer 3. Machine Learning Engineer 4. Robotics Perception Specialist
Top AI Employers (Industry-Wide):
Top employers include Google, Meta, NVIDIA, OpenAI, and tech firms specializing in autonomous systems and AI vision applications.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
  • 69,100
Format
On-Campus
Specializations
Computer Vision
Natural Language Processing (NLP)
Official Resources
Program Website
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