University of California, San Diego
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 $86.4K in total tuition, the MS in Computer Science – Artificial Intelligence sits about 104% above the $42.4K average for AI master's programs in our database — placing it in the 93rd percentile on cost among the 531 we track at this level.
Admission Snapshot
Typical admitted student: A bachelor's degree in computer science or related field with a minimum GPA of 3.0, programming experience, and coursework in algorithms, data structures, and probability is required. GRE scores are optional, and relevant research or professional experience strengthens applications.
About This Program
UC San Diego's MS in Computer Science with an AI specialization is offered by a CSE department consistently ranked among the nation's best, with particular strength in machine learning, computer vision, and systems. San Diego's growing biotech and tech sectors give the program a strong applied dimension.
Students benefit from UCSD's deep research bench and proximity to a thriving Southern California innovation economy, making it a strong fit for those targeting research-adjacent or applied AI engineering roles.
Why students choose it: Top-ranked CSE department with strengths in ML and vision, in a growing tech hub.
Career Outcomes
Excel as Computer Vision Engineer in Cross-Industry AI with machine learning expertise
- 1. Machine Learning Engineer
- 2. AI Research Scientist
- 3. Data Scientist
- 4. AI Systems Architect
What You'll Learn
- Design and implement machine learning models for predictive analytics and decision-making.
- Develop AI agents using large language models for autonomous reasoning and task execution.
- Apply probabilistic methods and search algorithms to solve complex AI problems.
- Optimize systems for training and deploying large-scale AI models.
Curriculum Highlights
The curriculum covers core AI and machine learning foundations, supplemented by breadth requirements in computer systems and elective topics like deep learning and generative AI.
Top Employers
Top employers include Google, Microsoft, OpenAI, and tech firms like NVIDIA and Meta.
Admissions
A bachelor's degree in computer science or related field with a minimum GPA of 3.0, programming experience, and coursework in algorithms, data structures, and probability is required. GRE scores are optional, and relevant research or professional experience strengthens applications.
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 80+ / IELTS 6.5+)
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