CA

Master's in DS/DA
On-Campus, Online

University of Southern California | MS in ECE - ML and Data Science

  • Los Angeles


About This Program

This graduate degree prepares students for employment in industries using data-driven methods for analysis, design, and autonomous systems.

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What You'll Learn
  • Design and implement machine learning models for real-world engineering problems.
  • Analyze large-scale datasets using advanced statistical and computational techniques.
  • Apply deep learning to signal processing, computer vision, and embedded systems.
  • Optimize AI algorithms for hardware-efficient deployment in ECE applications.
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 30-credit graduate program blending electrical and computer engineering with machine learning algorithms, data analytics, deep learning, and AI applications, typically completed in 1.5-2 years.
Typical Course Topics
1. Machine Learning Foundations 2. Deep Learning and Neural Networks 3. Data Mining and Analytics 4. Statistical Machine Learning 5. Computer Vision and Image Processing 6. Natural Language Processing
Program Specializations:
Machine Learning
Deep Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in electrical/computer engineering, computer science, or related field with a minimum GPA of 3.0 is required, along with programming experience in Python or similar and coursework in linear algebra, probability, and algorithms.
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

Advance as Machine Learning Engineer in Engineering 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 Research Engineer 4. Computer Vision Specialist
Top AI Employers (Industry-Wide):
Top employers include tech giants like Google, Amazon, NVIDIA, and engineering firms such as Qualcomm and Intel.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
$ 81,376
Format
On-Campus, Online
Specializations
Machine Learning
Deep Learning
Official Resources
Program Website
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