University of Michigan‑Dearborn

How this program compares

At an estimated $11.4K in total tuition, the Intelligent Systems in Engineering Applications Certificate sits about 0% above the $11.4K average for AI certificate programs in our database — placing it in the 64th percentile on cost among the 236 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 field with a minimum GPA of 3.0 is required, along with demonstrated programming skills and relevant coursework in math or AI.

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. Coursework concentrates on Machine Learning and Deep Learning. Most students complete it in about 1 year.

Estimated total tuition is $11.4K, above the $11.4K average for AI certificate programs in our database and in the 64th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

Gain data mining skills to advance as Machine Learning Engineer in Engineering AI Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $115,000.

Career Outcomes

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

• 1. Intelligent Systems Engineer
• 2. Robotics Applications Engineer
• 3. AI Engineering Specialist
• 4. Automation Controls Engineer

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

Curriculum Highlights

The 12-credit curriculum requires three courses chosen from a list including data mining, information engineering, and pattern recognition. Courses are scheduled to accommodate working professionals.

Top Employers

Top employers include automotive manufacturers like Ford and GM, tech firms such as Google and IBM, aerospace companies, and engineering consultancies.

Admissions

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.

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+)