Rice University

Rice University

About This Program

A non-thesis professional degree providing expertise in computational techniques and data engineering for technical and managerial leadership.

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What You'll Learn

Students master modern computational techniques, neural machine learning, and statistical inference to solve advanced technical problems in engineering.

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 Rice University, visit their official program website.

Typical Course Topics

                   The interdisciplinary curriculum features core courses in computational applied mathematics, statistics, and computer science, including iterative methods and numerical analysis.

Full-Time

Program Specializations:

Deep Learning, Machine Learning

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

Admissions

Careers

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

Program Details

Duration

1.5 Years

Tuition

57210

View funding options →

Format

On-Campus

Specializations

Deep Learning, Machine Learning

Official Resources

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