MI

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On-Campus, Online, Hybrid

University of Michigan‑Dearborn | Intelligent Systems in Engineering Applications Certificate

  • Dearborn


About This Program

This graduate certificate introduces students to the core concepts and techniques used for building and evaluating intelligent systems. It provides hands-on practice with real-world engineering problems.

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What You'll Learn
  • Design intelligent systems for engineering optimization and automation
  • Apply machine learning algorithms to real-world engineering data
  • Develop AI-driven control and robotics solutions
  • Analyze and predict system performance using intelligent techniques
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The Intelligent Systems in Engineering Applications Certificate is a graduate-level program typically completed in 1-2 years, focusing on applying AI, machine learning, and intelligent automation to engineering problems such as robotics, control systems, and predictive maintenance.
Typical Course Topics
1. Machine Learning for Engineering Applications 2. Intelligent Control Systems 3. Robotics and Automation 4. Artificial Intelligence in Manufacturing 5. Computer Vision for Engineering 6. Data Analytics and Predictive Modeling
Program Specializations:
Machine Learning
Deep 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 field with a minimum GPA of 3.0 is required, along with demonstrated programming skills and relevant coursework in math or AI.
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.

Check Application Deadlines
Career Opportunities in AI

Gain data mining skills to advance as Machine Learning Engineer in Engineering AI

Estimated Industry Salary
Intelligent Systems Engineer: $115,000
Total compensation (entry to mid-level)
AI Job Growth
23%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Intelligent Systems Engineer 2. Robotics Applications Engineer 3. AI Engineering Specialist 4. Automation Controls Engineer
Top AI Employers (Industry-Wide):
Top employers include automotive manufacturers like Ford and GM, tech firms such as Google and IBM, aerospace companies, and engineering consultancies.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
$ 11,448
Format
On-Campus, Online, Hybrid
Specializations
Machine Learning
Deep Learning
Official Resources
Program Website
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