Seton Hall University

Seton Hall University

About This Program

This master’s program equips students with the hands-on skills and engineering principles required to become professionals in the fields of data science and analytics.

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What You'll Learn

Students learn to solve data-driven problems using machine learning, neural networks, and cloud computing while mastering tools like Python, R, and AWS for data visualization.

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 Seton Hall University, visit their official program website.

Typical Course Topics

                   The 30-credit curriculum features core courses in data mining, big data analytics, and statistics, concluding with a two-semester capstone project or research thesis.

Full-Time

Program Specializations:

MLOps/AI Engineering, Machine Learning

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

Admissions

Careers

Lead as Data Scientist in Engineering AI with machine learning expertise

Program Details

Duration

1.5 Years

Tuition

64440

View funding options →

Format

On-Campus, Online

Specializations

MLOps/AI Engineering, Machine Learning

Official Resources

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