MasterOn-Campus, OnlineFull-Time

University of Southern California

MS in Electrical and Computer Engineering - Machine Learning and Data Science Track

Los Angeles, California1.5 $75K total tuition
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How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Est. Salary$130,000 Data Scientist
Job Growth+36%
Top RoleMachine Learning Engineer
FormatOn-Campus, Online

Admission Snapshot

Degree Required
Bachelor's degree in engineering or related field
Duration
1.5 years
Est. Tuition
$75K total
Format
On-Campus, Online
Schedule
Full-Time
GRE / GMAT
Required
Concentrations
Machine Learning, AI Engineering / Applied AI

Typical admitted student: 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

About This Program

This specialized track offers a focused education on the intersection of electrical engineering and advanced data-driven intelligence.

Career Outcomes

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

  • 1. Machine Learning Engineer
  • 2. Data Scientist
  • 3. AI Research Scientist
  • 4. Systems Engineer (AI/ML Infrastructure)

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

Curriculum Highlights

The coursework includes required foundations in signal processing and software design, plus advanced electives in computer vision and speech recognition.

Top Employers

Top employers for graduates include Google, Microsoft, Meta, Amazon, Tesla, NVIDIA, and major tech and defense contractors like Lockheed Martin and Raytheon Technologies.[4

Admissions

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

Application Materials

  • Statement of Purpose: Required
  • Letters of Recommendation: 2–3
  • Resume: Required
  • Official Transcripts: Required
  • Application Fee: $90

Academic Requirements

  • 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+)

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