Michigan Technological University

Michigan Technological University

About This Program

This graduate program provides the tools needed to reinvent healthcare through AI, helping professionals bridge the gap between medicine and advanced data technologies.

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What You'll Learn

Participants gain proficiency in machine learning methods, risk prediction, and medical image analysis while exploring bioethics and regulation in the clinical environment.

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 Michigan Technological University, visit their official program website.

Typical Course Topics

                   The two-semester curriculum features required coursework in AI methods in healthcare, clinical decision support, and applied machine learning for medical informatics.

Part-Time, Flexible

Program Specializations:

Computer Vision, Machine Learning

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

Admissions

Careers

Build machine learning skills to advance as Data Engineer in Healthcare AI

Program Details

Duration

1 Years

Tuition

16008

View funding options →

Format

On-Campus, Online

Specializations

Computer Vision, Machine Learning

Official Resources

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