University of California, Berkeley

How this program compares

At an estimated $69.1K in total tuition, the MEng in EECS – Computer Vision & AI sits about 63% above the $42.4K average for AI master's programs in our database — placing it in the 85th percentile on cost among the 531 we track at this level.

Admission Snapshot

Typical admitted student: 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.

About This Program

A professional degree that integrates advanced engineering coursework with leadership training for high-tech industry careers. Coursework concentrates on Computer Vision and Natural Language Processing (NLP). Most students complete it in about 1 year.

Estimated total tuition is $69.1K, above the $42.4K average for AI master's programs in our database and in the 85th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Lead as Computer Vision Engineer in Engineering AI with computer vision expertise Graduates frequently move into roles such as Computer Vision Engineer, with reported salaries around $145,000.

Career Outcomes

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

• 1. Computer Vision Engineer
• 2. AI Research Engineer
• 3. Machine Learning Engineer
• 4. Robotics Perception Specialist

What You'll Learn

• Design and implement computer vision algorithms for image recognition and object detection.
• Build deep learning models for visual data analysis and generation.
• Develop multimodal AI systems integrating vision and language processing.
• Apply ethical AI principles to computer vision applications.

Curriculum Highlights

The curriculum includes technical concentration courses, leadership modules, and an industry-focused capstone project in computer science.

Top Employers

Top employers include Google, Meta, NVIDIA, OpenAI, and tech firms specializing in autonomous systems and AI vision applications.

Admissions

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.

Application Materials

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

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 90+ / IELTS 7.0+)