University of California, Berkeley

How this program compares

Budget-wise, $27.2K puts this master's program at the 37th percentile on cost — roughly 37% below the $42.9K average across 394 comparable listings. It runs on a full-time schedule (on-campus).

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. Coursework concentrates on Deep Learning and Computer Vision. Most students complete it in about 2 years.

Graduates frequently move into roles such as AI Research Scientist, with reported salaries around $150,000.

Design and implement machine learning models for real-world applications.

Budget planners should note $27.2K estimated total tuition (37th percentile among AI master's programs, below the $42.9K average). That puts it in the mid-range on price among comparable programs.

It is one of 65 AI-related programs we track in California, of which about 37% offer an online option. On price, it comes in cheaper than about 72% of the California programs in our data, where typical tuition runs near $63.3K.

Career Outcomes

The MS in Computer Science – Artificial Intelligence at University of California, Berkeley (Berkeley, California) is oriented toward AI Research Scientist hiring, with alumni reporting pay near $150,000. Its focus on Deep Learning and Computer Vision maps directly to how employers in engineering ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 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

Admission to University of California, Berkeley's MS in Computer Science – Artificial Intelligence generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

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

Frequently Asked Questions