University of Southern California
MS in ECE - ML and Data Science
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β see our methodology.
How this program compares
At an estimated $81.4K in total tuition, the MS in ECE - ML and Data Science sits about 92% above the $42.4K average for AI master's programs in our database β placing it in the 91st percentile on cost among the 531 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.
Admission Snapshot
Typical admitted student: 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.
About This Program
This graduate degree prepares students for employment in industries using data-driven methods for analysis, design, and autonomous systems. Coursework concentrates on Machine Learning and Deep Learning. Most students complete it in about 1 year.
Estimated total tuition is $81.4K, above the $42.4K average for AI master's programs in our database and in the 91st percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.
Advance as Machine Learning Engineer in Engineering AI with machine learning expertise Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $140,000.
Career Outcomes
Advance as Machine Learning Engineer in Engineering AI with machine learning expertise
- 1. Machine Learning Engineer
- 2. Data Scientist
- 3. AI Research Engineer
- 4. Computer Vision Specialist
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.
Curriculum Highlights
The program structure focuses on probability for engineers, linear algebra, and technical electives in areas like internet and cloud computing.
Top Employers
Top employers include tech giants like Google, Amazon, NVIDIA, and engineering firms such as Qualcomm and Intel.
Admissions
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.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Optional
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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