Typical admitted student: High school diploma or equivalent with a minimum GPA of 2.5-3.0 is required; SAT/ACT scores are optional but recommended for competitive admission. Related high school coursework in math, physics, or computer science strengthens applications.

About This Program

This online program offers a flexible pathway to master the design and deployment of machine learning frameworks within autonomous systems for the evolving engineering industry.

Career Outcomes

Prepare Machine Learning Engineer career in Autonomous Vehicles with machine learning focus

1. Machine Learning Engineer
2. Autonomous Systems Developer
3. Robotics Software Engineer
4. AI Systems Integrator

What You'll Learn

Design and implement machine learning models for autonomous systems.
Apply reinforcement learning to enable self-adapting technologies.
Program robotics and cybernetic systems for real-world automation.
Evaluate ethical considerations in AI-driven engineering solutions.

Curriculum Highlights

The online curriculum features a computational core with courses in reinforcement learning, machine vision, data structures, and the survey of machine learning and autonomous systems.

Top Employers

Top employers include Boeing, Lockheed Martin, John Deere, and Tesla.

Admissions

High school diploma or equivalent with a minimum GPA of 2.5-3.0 is required; SAT/ACT scores are optional but recommended for competitive admission. Related high school coursework in math, physics, or computer science strengthens applications.

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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