University of California, Berkeley
MS in Computer Science – Artificial Intelligence
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources — see our methodology.
How this program compares
At an estimated $27.2K in total tuition, the MS in Computer Science – Artificial Intelligence sits roughly 36% below the $42.4K average for AI master's programs in our database — placing it in the 39th percentile on cost among the 531 we track at this level.
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.
Estimated total tuition is $27.2K, below the $42.4K average for AI master's programs in our database and in the 39th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.
Position as AI Research Scientist in Engineering AI with machine learning expertise Graduates frequently move into roles such as AI Research Scientist, with reported salaries around $150,000.
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+)
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