Cornell University

Cornell University

About This Program

This Cornell Tech master's degree focuses on using data science and machine learning to solve industry-driven problems within a collaborative, entrepreneurial studio environment.

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What You'll Learn

Students learn to apply machine learning, data mining, and signal processing to extract meaning from images, text, audio, and sensor data while developing startup skills.

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 Cornell University, visit their official program website.

Typical Course Topics

                   The program includes 18 technical credits in areas like applied machine learning and optimization, alongside 8 credits of immersive studio courses and startup modules.

Full-Time

Program Specializations:

Machine Learning, MLOps/AI Engineering

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

Admissions

Careers

Advance as Data Scientist in Cross-Industry AI with applied machine learning expertise

Program Details

Duration

1 Years

Tuition

58200

View funding options →

Format

On-Campus

Specializations

Machine Learning, MLOps/AI Engineering

Official Resources

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