University of California, Berkeley

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

Typical admitted student: A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience in Python and coursework in algorithms, data structures, and linear algebra.

About This Program

This professional master's program offers a multidisciplinary approach to AI, preparing students to derive insights from data and solve complex real-world problems.

Career Outcomes

Position as AI Research Scientist in Engineering AI with machine learning expertise

• 1. Machine Learning Engineer
• 2. AI Research Scientist
• 3. Data Scientist
• 4. Computer Vision Engineer

What You'll Learn

• Design and implement machine learning models for real-world applications
• Apply deep learning techniques to image recognition and generative tasks
• Develop natural language processing systems for text analysis and generation
• Evaluate AI systems for ethics, bias, and robustness

Curriculum Highlights

The program includes foundational courses in programming and statistics, advanced electives in vision and ML, and a synthetic capstone project.

Top Employers

Top employers include Google, Meta, OpenAI, and NVIDIA.

Admissions

A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience in Python and coursework in algorithms, data structures, and linear algebra.

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: Optional
• TOEFL/IELTS: Required for international students (TOEFL 90+ / IELTS 7.0+)