CA

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

University of Southern California

MS in ECE – ML & Data Science

  • Los Angeles
About This Program

This program provides rigorous training in the theory and application of data science, machine learning, and signal processing for engineering fields.

Student Reviews
Write a Review
What You'll Learn

Students develop advanced skills in mathematical pattern recognition, neural learning, optimization, and the analysis of large-scale datasets.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum includes foundations in probability and linear algebra, software design, and specialized courses in deep learning and data analytics.
Typical Course Topics
1. Machine Learning Foundations 2. Deep Learning and Neural Networks 3. Data Mining and Big Data Analytics 4. Statistical Methods for Data Science 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 engineering, computer engineering, computer science, or a related field with a minimum GPA of 3.0 is required, along with programming experience in Python or similar and linear algebra proficiency. GRE scores are often optional, with relevant coursework or professional experience strengthening applications.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 90+ / 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

Lead 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
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 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
  • 85,280
Format
On-Campus, Online
Specializations
Machine Learning
Deep Learning
Official Resources
Program Website
Request Information