Typical admitted student: A bachelor's degree in engineering, computer science, or a related STEM field with a minimum GPA of 3.0 is required, along with relevant technical background or work experience in programming and mathematics.

About This Program

This online graduate program provides engineers with a foundation in AI principles and their practical application within modern engineering systems.

Career Outcomes

Gain machine learning skills to advance as Machine Learning Engineer in Engineering AI

1. AI Systems Engineer
2. Machine Learning Engineer
3. Autonomous Systems Specialist
4. Engineering AI Developer

What You'll Learn

Design and implement machine learning models for engineering applications
Integrate AI with autonomous systems and robotics
Apply computer vision and sensor data processing in real-world engineering contexts
Evaluate ethical implications and biases in AI engineering solutions

Curriculum Highlights

The curriculum features a sequence of four courses focused on AI algorithm design, system architecture, and applied machine learning models.

Top Employers

Top employers include tech firms like Google, Microsoft, and Amazon, as well as engineering companies such as Lockheed Martin, Boeing, and government research agencies.

Admissions

A bachelor's degree in engineering, computer science, or a related STEM field with a minimum GPA of 3.0 is required, along with relevant technical background or work experience in programming and mathematics.

Application Materials

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

Academic Requirements

Degree Required: Bachelor's degree
GRE/GMAT: Not Required
TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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