Marquette University

Marquette University

About This Program

This professional master's program focuses on the theoretical foundations and practical implementations of machine learning and algorithmic analysis within electrical engineering.

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What You'll Learn

Students focus on algorithm analysis, time and space complexity, advanced data structures, and the application of machine learning techniques to engineering challenges.

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 Marquette University, visit their official program website.

Typical Course Topics

                   The 30-credit non-thesis curriculum features core coursework in algorithms and machine learning, supplemented by technical electives in intelligent systems or neural networks.

Full-Time, Part-Time

Program Specializations:

Machine Learning

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

Admissions

Careers

Excel as Machine Learning Engineer in Engineering AI with machine learning expertise

Program Details

Duration

1.5 Years

Tuition

42000

View funding options →

Format

On-Campus

Specializations

Machine Learning

Official Resources

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