MI

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

Kettering University

Master of Engineering in Artificial Intelligence

  • Flint
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.

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What You'll Learn

Students gain expertise in various approaches to machine learning and neural networks. They learn to implement AI solutions for complex engineering problems, specifically focusing on data analytics and robotics.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
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.
Typical Course Topics
1. Machine Learning Algorithms 2. Deep Neural Networks 3. Natural Language Processing 4. Computer Vision 5. Reinforcement Learning 6. AI Systems Engineering
Program Specializations:
Natural Language Processing (NLP)
Machine Learning
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 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.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• 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

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

Estimated Industry Salary
AI Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI Engineer 2. Machine Learning Engineer 3. Computer Vision Specialist 4. Robotics Engineer
Top AI Employers (Industry-Wide):
Top employers include tech leaders like Google, Microsoft, Amazon, and Tesla, along with automotive and manufacturing firms advancing intelligent systems.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
  • 32,700
Format
On-Campus, Online, Hybrid
Specializations
Natural Language Processing (NLP)
Machine Learning
Official Resources
Program Website
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