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.

⭐ Student Reviews

No reviews yet. Be the first to share your experience!

What You'll Learn
  • Design and implement machine learning models for real-world engineering applications including deep learning and neural networks
  • Develop data science solutions using statistical analysis, data mining, and predictive modeling techniques
  • Apply advanced mathematical and computational methods to solve complex engineering problems
  • Conduct capstone or industry-sponsored projects integrating machine learning with electrical and computer engineering systems
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The MS in Electrical and Computer Engineering with a Machine Learning and Data Science track is a two-year graduate program at USC Viterbi School of Engineering focusing on advanced machine learning, data science applications, and deep learning within electrical and computer engineering systems.[1][4
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
AI Engineering / Applied AI
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.

Check Application Deadlines
Career Opportunities in AI

Thrive as Machine Learning Engineer in Engineering AI with machine learning expertise

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
0.36
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
AI Engineering / Applied AI
Official Resources
Program Website
Request Information