CA

Master's in DS/DA
On-Campus

University of California, San Diego | MS in ECE - ML and Data Science

  • La Jolla


About This Program

This program integrates computer science and engineering to prepare students for careers in the rapidly evolving fields of machine learning and big data analytics.

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What You'll Learn
  • Design and implement supervised/unsupervised machine learning models for data analysis.
  • Optimize systems for large-scale ML training and LLM inference.
  • Apply data mining techniques to extract insights from complex datasets.
  • Build scalable engineering solutions for AI agents and data science pipelines.
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The MS in ECE - ML and Data Science is a one- to two-year graduate program at UC San Diego focusing on machine learning algorithms, scalable data systems, and electrical/computer engineering applications in data science.
Typical Course Topics
1. Supervised and Unsupervised Learning Algorithms 2. Unsupervised Learning and Clustering 3. Machine Learning and Data Mining 4. LLM System Optimization 5. Systems for LLMs and AI Agents 6. Scalable Data Science and ML Engineering
Program Specializations:
Machine Learning
Data Science & Analytics
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in electrical engineering, computer engineering, computer science, or related field with a minimum GPA of 3.0 is required, along with coursework in programming, linear algebra, and probability/statistics.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

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

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

Check Application Deadlines
Career Opportunities in AI

Excel as Data Scientist in Engineering AI with machine learning expertise

Estimated Industry Salary
Machine Learning Engineer: $140,000
Total compensation (entry to mid-level)
AI Job Growth
35%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. Data Science Engineer 3. AI Systems Engineer 4. Research Scientist in ML
Top AI Employers (Industry-Wide):
Top employers include tech companies like Google, Meta, NVIDIA, and research institutions such as national labs and AI startups.
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
$ 42,946
Format
On-Campus
Specializations
Machine Learning
Data Science & Analytics
Official Resources
Program Website
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