University of Southern California

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.

Admission Snapshot

Typical admitted student: High school diploma or equivalent with a minimum GPA of 3.0 is required, along with SAT or ACT scores (optional at many institutions). Strong performance in math and computer science courses is highly recommended.

About This Program

This interdisciplinary undergraduate program provides a deep foundation in AI theories and applications across computer science and engineering departments.

Career Outcomes

Launch Machine Learning Engineer career in Engineering AI with machine learning focus

• 1. Machine Learning Engineer
• 2. AI Research Scientist
• 3. Data Scientist
• 4. Computer Vision Engineer

What You'll Learn

• Design and implement machine learning algorithms for predictive modeling.
• Build and train neural networks for tasks like image recognition and language understanding.
• Apply AI techniques to solve real-world problems in data analysis and automation.
• Evaluate ethical implications and biases in AI systems.

Curriculum Highlights

The 130-unit curriculum covers mathematical foundations, AI principles, machine learning, and elective tracks in systems, operations, or computing foundations.

Top Employers

Top employers include Google, Microsoft, Amazon, and Meta.

Admissions

High school diploma or equivalent with a minimum GPA of 3.0 is required, along with SAT or ACT scores (optional at many institutions). Strong performance in math and computer science courses is highly recommended.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Optional
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: High School Diploma
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)