University of Michigan‑Ann Arbor

University of Michigan‑Ann Arbor

About This Program

This professional graduate degree is designed for engineers seeking to enter industry with specialized technical expertise. It focuses on the theory and practice of modern sensing and decision systems.

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What You'll Learn

Students learn to apply machine learning and data science to engineered systems for control and inference. They develop skills for computational reasoning about large-scale complex 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‑Ann Arbor, visit their official program website.

Typical Course Topics

                   The highly structured program requires 26 credits, emphasizing hands-on projects and design. The curriculum includes core courses in estimation, filtering, and detection alongside technical electives and leadership training.

Full-Time

Program Specializations:

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

Admissions

Careers

Lead as Data Scientist in Cross-Industry AI with machine learning expertise

Program Details

Duration

1 Years

Tuition

29100

View funding options →

Format

On-Campus

Specializations

Official Resources

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