Kettering University

How this program compares

At an estimated $32.7K in total tuition, the Master of Engineering in Artificial Intelligence sits roughly 23% below the $42.4K average for AI master's programs in our database — placing it in the 50th percentile on cost among the 531 we track at this level. It is one of the 57% 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.

Estimated total tuition is $32.7K, below the $42.4K average for AI master's programs in our database and in the 50th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

Lead as AI Engineer in Engineering AI with natural language processing expertise Graduates frequently move into roles such as AI Engineer, with reported salaries around $120,000.

Career Outcomes

Lead as AI Engineer in Engineering AI with natural language processing expertise

• 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

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.

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: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)