MI

Master's in AI
On-Campus, Online, Hybrid

Kettering University

Kettering University

  • Flint
About This Program

Located in an automotive innovation hub, this program equips engineering professionals with specialized expertise in driverless technology. It focuses on the technical and managerial aspects of autonomous system design.

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What You'll Learn

Students master driverless vehicle design, development, and AI-driven control systems. Learning outcomes include proficiency in sensor fusion, real-time embedded systems, and the application of AI for autonomous driving.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum consists of mobility system fundamentals, automotive controls, and technology management. Core technical topics cover mobile robotics, computer vision, the Internet of Things, and artificial intelligence for mobility.
Typical Course Topics
1. Autonomous Vehicle Control Systems 2. Sensor Fusion and Perception 3. Machine Learning for Vehicle Navigation 4. Vehicle Dynamics and Motion Planning 5. Embedded Systems for Autonomous Driving 6. LiDAR and Computer Vision Applications
Program Specializations:
Computer Vision
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in engineering, computer science, or a related field with a minimum GPA of 3.0 is required, along with relevant coursework in controls, programming, or robotics. Work experience in automotive or related industries is preferred but not mandatory.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree in engineering or related field
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

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

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Advance as Robotics Engineer in Autonomous Vehicles with computer vision expertise

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
Autonomous Vehicle Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
22.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Autonomous Systems Engineer 2. Vehicle Perception Specialist 3. ADAS Development Engineer 4. Robotics Controls Engineer
Top AI Employers (Industry-Wide):
Top employers include automotive manufacturers like General Motors, Tesla, Ford, and tech firms such as Waymo and NVIDIA.
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Program Details
Duration
  • 2 Year
Tuition
  • 32,700
Format
On-Campus, Online, Hybrid
Specializations
Computer Vision
Official Resources
Program Website
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