Kettering University

How this program compares

Budget-wise, $32.7K puts this master's program at the 47th percentile on cost — roughly 24% below the $42.9K average across 394 comparable listings. 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 technical field with a minimum GPA of 3.0 is required, along with relevant coursework in programming, mathematics, and statistics. Work experience in AI or software development is often preferred.

About This Program

This hands-on graduate program is designed for engineers seeking to apply AI within the automotive and mobility industries. It emphasizes practical applications in a high-demand manufacturing hub. Coursework concentrates on Natural Language Processing (NLP) and Machine Learning. Most students complete it in about 2 years.

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

Design and implement machine learning models for real-world engineering problems.

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.

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.

Career Outcomes

The Master of Engineering in Artificial Intelligence at Kettering University (Flint, Michigan) is oriented toward AI Engineer hiring, with alumni reporting pay near $120,000. Its focus on Natural Language Processing (NLP) and Machine Learning maps directly to how employers in engineering ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. AI Engineer
• 2. Machine Learning Engineer
• 3. Computer Vision Specialist
• 4. Robotics Engineer

What You'll Learn

• Design and implement machine learning models for real-world engineering problems
• Develop deep learning architectures for image and language processing
• Apply reinforcement learning to optimize autonomous systems
• Engineer scalable AI systems with ethical considerations

Curriculum Highlights

The structure includes core courses in mobility systems, automotive controls, and signal processing. Technical requirements feature machine learning, data mining, deep learning, and management-focused electives.

Top Employers

Top employers include tech leaders like Google, Microsoft, Amazon, and Tesla, along with automotive and manufacturing firms advancing intelligent systems.

Admissions

Admission to Kettering University's Master of Engineering in Artificial Intelligence generally expects a bachelor's degree. 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