Kettering University

How this program compares

Kettering University's Master of Engineering in Autonomous Vehicles lists about $32.7K total tuition — roughly 24% below the $42.9K AI master's average (47th percentile in our data). It is one of the 54% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: 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.

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. Coursework concentrates on Computer Vision and Robotics & Autonomous Systems. Most students complete it in about 2 years.

It is one of 26 AI-related programs we track in Michigan, of which about 69% offer an online option. On price, it comes in cheaper than about 58% of the Michigan programs in our data, where typical tuition runs near $50.2K.

Graduates frequently move into roles such as Robotics Engineer, with reported salaries around $120,000.

Design and implement control algorithms for autonomous vehicle motion.

Estimated total tuition is $32.7K, below the $42.9K average for AI master's programs in our database and in the 47th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

Career Outcomes

The Master of Engineering in Autonomous Vehicles at Kettering University (Flint, Michigan) is oriented toward Robotics Engineer hiring, with alumni reporting pay near $120,000. Its focus on Computer Vision and Robotics & Autonomous Systems maps directly to how employers in autonomous vehicles screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 22% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Autonomous Systems Engineer
• 2. Vehicle Perception Specialist
• 3. ADAS Development Engineer
• 4. Robotics Controls Engineer

What You'll Learn

• Design and implement control algorithms for autonomous vehicle motion
• Integrate sensors like LiDAR, radar, and cameras for environmental perception
• Apply machine learning models for path planning and decision-making
• Develop embedded software for real-time vehicle autonomy systems

Curriculum Highlights

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.

Top Employers

Top employers include automotive manufacturers like General Motors, Tesla, Ford, and tech firms such as Waymo and NVIDIA.

Admissions

Admission to Kettering University's Master of Engineering in Autonomous Vehicles generally expects a bachelor's degree in engineering or related field. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

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

Frequently Asked Questions