University of California, San Diego
MS in ECE - Machine Learning and Data Science
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 $42.9K in total tuition, the MS in ECE - Machine Learning and Data Science sits about 1% above the $42.4K average for AI master's programs in our database — placing it in the 64th percentile on cost among the 531 we track at this level.
Admission Snapshot
Typical admitted student: A bachelor's degree in electrical engineering, computer engineering, computer science, or a related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in linear algebra, probability, and data structures.
About This Program
UC San Diego's MS in ECE with a Machine Learning and Data Science focus combines a top-ranked engineering department with rigorous training in the signal-processing and systems side of machine learning. UCSD has notable strengths in ML and data-driven engineering.
The program suits engineers who want ML grounded in electrical and computer engineering foundations, with access to San Diego's growing tech and biotech sectors.
Why students choose it: ML grounded in ECE foundations from a top-ranked engineering department.
Career Outcomes
Position as Data Scientist in Engineering AI with deep learning expertise
- 1. Machine Learning Engineer
- 2. Data Scientist
- 3. AI Systems Engineer
- 4. Research Scientist in AI
What You'll Learn
- Implement supervised and unsupervised machine learning models for data analysis.
- Design probabilistic models for AI decision-making and reasoning.
- Develop recommender systems and natural language processing pipelines.
- Optimize data systems for scalable machine learning applications.
Curriculum Highlights
The plan requires 48 units, including core courses in data analysis and probability, with electives in deep learning and a comprehensive exam option.
Top Employers
Top employers include tech companies like Google, Microsoft, Amazon, and NVIDIA, as well as research labs and AI-focused firms.
Admissions
A bachelor's degree in electrical engineering, computer engineering, computer science, or a related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in linear algebra, probability, and data structures.
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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