Keiser University

Keiser University

About This Program

This program targets students interested in the study and deployment of AI applications, emphasizing hands-on activities with machine learning and deep learning using big data sets.

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What You'll Learn

Students learn to apply appropriate AI tools, algorithms, and ethical standards to projects. They gain proficiency in natural language processing, voice recognition, and simulated thinking patterns.

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 Keiser University, visit their official program website.

Typical Course Topics

                   The curriculum covers core programming in Python and Java, alongside specialized modules in neural networks, non-relational data stores, cloud computing, and a final AI capstone.

Flexible

Program Specializations:

Machine Learning

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

Admissions

Careers

Enter AI Engineer career in Cross-Industry AI with machine learning focus

Program Details

Duration

4 Years

Tuition

116880

View funding options →

Format

On-Campus, Online, Hybrid

Specializations

Machine Learning

Official Resources

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