Indiana University Bloomington

Indiana University Bloomington

About This Program

This interdisciplinary track focuses on using computers to process and produce human language, combining theoretical linguistic research with practical computational applications.

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What You'll Learn

Students learn to analyze linguistic structures, apply machine learning to natural language, and develop software for machine translation and speech synthesis.

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 Indiana University Bloomington, visit their official program website.

Typical Course Topics

                   The curriculum includes core linguistics courses in syntax and phonology, computational linguistics seminars, and a substantive minor in a related academic discipline.

Full-Time

Program Specializations:

Natural Language Processing (NLP), Machine Learning

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

Admissions

Careers

Lead as NLP Engineer in Cross-Industry AI with machine learning expertise

Program Details

Duration

2 Years

Tuition

30240

View funding options →

Format

On-Campus

Specializations

Natural Language Processing (NLP), Machine Learning

Official Resources

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