University of Southern California

How this program compares

At an estimated $85.3K in total tuition, the MS in ECE - ML & Data Science sits about 99% above the $42.9K average for AI master's programs in our database — placing it in the 92nd percentile on cost among the 394 we track at this level. It is one of the 54% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: 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.

About This Program

This program provides rigorous training in the theory and application of data science, machine learning, and signal processing for engineering fields. Most students complete it in about 1 year.

It is one of 65 AI-related programs we track in California, of which about 37% offer an online option. On price, it comes in higher than about 81% of the California programs in our data, where typical tuition runs near $63.3K.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $130,000.

Design and implement machine learning models for real-world engineering problems.

Estimated total tuition is $85.3K, above the $42.9K average for AI master's programs in our database and in the 92nd percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Career Outcomes

Graduates of University of Southern California's MS in ECE - ML & Data Science most often target Machine Learning Engineer roles, where reported compensation runs around $130,000. Its focus on Machine Learning and Deep Learning maps directly to how employers in engineering ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 36% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 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 curriculum includes foundations in probability and linear algebra, software design, and specialized courses in deep learning and data analytics.

Top Employers

Top employers include tech giants like Google, Amazon, NVIDIA, and engineering firms such as Qualcomm and Intel.

Admissions

Admission to University of Southern California's MS in ECE - ML & Data Science generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions