CA

Master's in ML
On-Campus, Online

University of Southern California | Online MS in Materials Engineering - Machine Learning

  • Los Angeles
About This Program

This program combines materials engineering with machine learning to prepare students for data-driven materials discovery and cybermanufacturing.

⭐ Student Reviews

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

What You'll Learn
  • Design and implement machine learning models to predict material properties and optimize material composition
  • Apply deep learning techniques to materials characterization and image analysis
  • Develop computational methods for accelerated materials discovery and development
  • Integrate domain expertise in materials engineering with advanced data science and AI methodologies
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The MS in Materials Engineering with a Machine Learning focus is a graduate program combining materials science with advanced machine learning techniques, typically completed in 2 years of full-time study or 3 years part-time.
Typical Course Topics
1. Machine Learning Foundations 2. Deep Learning and Neural Networks 3. Materials Characterization and Data Analysis 4. Computational Materials Science 5. Applied Machine Learning for Materials Discovery 6. Advanced Optimization and Statistical Methods
Program Specializations:
Machine Learning
Deep Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants typically need a bachelor's degree in materials engineering, mechanical engineering, chemistry, physics, or related field with a strong quantitative background. Prior coursework in programming and mathematics (linear algebra, calculus, differential equations) is strongly preferred.
Academic Requirements (Typical)

• Degree Required: MS (Master of Science)
• GRE/GMAT: Required
• 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.

Check Application Deadlines
Career Opportunities in AI

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

Estimated Industry Salary
Materials Engineer (ML-specialized): $92,000 Data Scientist (Materials/Manufacturing): $105,000 Research Scientist (Materials Science): $98,000
Total compensation (entry to mid-level)
AI Job Growth
0.08
Projected 2024-2034 (BLS)
Common Career Paths:
1. Materials Data Scientist 2. Computational Materials Engineer 3. AI/ML Research Scientist (Materials Industries) 4. Product Development Engineer (Advanced Materials)
Top AI Employers (Industry-Wide):
Top employers include aerospace companies like Boeing and Lockheed Martin, automotive firms like Tesla and General Motors, semiconductor manufacturers like Intel and TSMC, and advanced materials companies like DuPont and 3M.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
$ 74,620
Format
On-Campus, Online
Specializations
Machine Learning
Deep Learning
Official Resources
Program Website
Request Information