BachelorOn-CampusFull-Time

University of Southern California

BS in Artificial Intelligence

Los Angeles, California4 years$301K total tuition
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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 $301.3K in total tuition, the BS in Artificial Intelligence sits about 248% above the $86.6K average for AI bachelor's programs in our database β€” placing it in the 99th percentile on cost among the 232 we track at this level.

Est. Salary$120,000
Job Growth+23%
Top RoleMachine Learning Engineer
FormatOn-Campus

Admission Snapshot

Degree Required
High School Diploma
Duration
4 years
Est. Tuition
$301K total
Format
On-Campus
Schedule
Full-Time
GRE / GMAT
Not Required
Concentrations
MLOps/AI Engineering, AI Engineering / Applied AI

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. Coursework concentrates on MLOps/AI Engineering and AI Engineering / Applied AI. Most students complete it in about 4 years.

Estimated total tuition is $301.3K, above the $86.6K average for AI bachelor's programs in our database and in the 99th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Launch Machine Learning Engineer career in Engineering AI with machine learning focus Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.

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+)

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