CA

Master's in ML
On-Campus, Online

University of Southern California

MS in Electrical and Computer Engineering – Machine Learning and Data Science Track

  • Los Angeles
About This Program

This specialized track offers a focused education on the intersection of electrical engineering and advanced data-driven intelligence.

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What You'll Learn

Students learn to apply critical principles of machine learning and data science to professional practice in global contexts.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The coursework includes required foundations in signal processing and software design, plus advanced electives in computer vision and speech recognition.
Typical Course Topics
1. Machine Learning Foundations and Algorithms 2. Deep Learning and Neural Networks 3. Data Mining and Statistical Machine Learning 4. Applied Machine Learning for Engineering Systems 5. Natural Language Processing (NLP) 6. Computer Vision and Image Processing
Program Specializations:
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants must hold a bachelor's degree in engineering or a related field with a minimum GPA of 3.0, and should have completed coursework in mathematics, statistics, computer science, and physics.[2] International students must demonstrate English proficiency with TOEFL (80+), IELTS (6.5+), or PTE (61+).[2
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree in engineering or related field
• GRE/GMAT: Required (GRE typical for engineering programs)
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Official Transcripts: Required
• Application Fee: $90

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

Thrive as Machine Learning Engineer in Engineering 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: $130,000 Data Scientist: $125,000 AI/ML Systems Engineer: $135,000 Research Scientist: $128,000
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 Research Scientist 4. Systems Engineer (AI/ML Infrastructure)
Top AI Employers (Industry-Wide):
Top employers for graduates include Google, Microsoft, Meta, Amazon, Tesla, NVIDIA, and major tech and defense contractors like Lockheed Martin and Raytheon Technologies.[4
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
  • 74,620
Format
On-Campus, Online
Specializations
Machine Learning
Official Resources
Program Website
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