CA

Master's in ML
On-Campus

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

  • La Jolla


About This Program

This program provides deep expertise in the data science lifecycle, training students to manage and analyze complex datasets using advanced statistical and machine learning methodologies.

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What You'll Learn
  • Design and implement supervised and unsupervised machine learning models for data analysis.
  • Develop scalable data systems optimized for AI and large language model training.
  • Apply probabilistic reasoning and optimization techniques to real-world engineering problems.
  • Build recommender systems and natural language processing pipelines using modern frameworks.
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 - Machine Learning and Data Science is a two-year graduate program at UC San Diego integrating electrical and computer engineering with advanced machine learning algorithms, data systems, and AI applications.
Typical Course Topics
1. Machine Learning Algorithms 2. Unsupervised Learning 3. Statistical Natural Language Processing 4. Recommender Systems and Web Mining 5. Systems for Large Language Models 6. Data Systems for Machine Learning
Program Specializations:
Machine Learning
AI Engineering / Applied AI
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 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.
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.

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Career Opportunities in AI

Position as Machine Learning Engineer in Cross-Industry AI with machine learning expertise

Estimated Industry Salary
Machine Learning Engineer: $140,000
Total compensation (entry to mid-level)
AI Job Growth
36%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. Data Scientist 3. AI Systems Engineer 4. Research Scientist in AI
Top AI Employers (Industry-Wide):
Top employers include tech leaders like Google, Microsoft, NVIDIA, and research institutions such as national labs and AI startups.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
$ 7,176
Format
On-Campus
Specializations
Machine Learning
AI Engineering / Applied AI
Official Resources
Program Website
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