University of Michigan‑Dearborn

University of Michigan‑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

Participants learn about decision trees, rule-based systems, and Bayesian learning. They also gain experience with neural networks, support vector machines, and fuzzy logic systems.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:

Visit Official Program Website

Typical Curriculum Structure

Note: This is a typical curriculum structure for Master's in AI programs. For the exact courses offered by University of Michigan‑Dearborn, visit their official program website.

Typical Course Topics

                   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.

Part-Time

Program Specializations:

Machine Learning, Deep Learning

View the exact, up-to-date curriculum on the official program website

Admissions

Careers

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

Program Details

Duration

1 Years

Tuition

11448

View funding options →

Format

On-Campus, Online, Hybrid

Specializations

Machine Learning, Deep Learning

Official Resources

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