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

Students will learn to build scalable data systems, apply machine learning algorithms to generate actionable insights, and navigate the ethical impacts of data-driven reporting.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The structure involves foundational courses in Python and probability, followed by core studies in scalable data systems, machine learning fundamentals, and specialized electives like NLP.
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
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

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
Machine Learning Engineer: $140,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
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
Official Resources
Program Website
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