University of California, Davis

University of California, Davis

About This Program

This undergraduate track focuses on the algorithmic and theoretical foundations of statistical learning to build predictive and explanatory models for large-scale, complex data.

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What You'll Learn

Students will learn to design and implement statistical models, master probability theory, and apply computational techniques to solve real-world data science problems across diverse industries.

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 University of California, Davis, visit their official program website.

Typical Course Topics

                   The curriculum includes core subjects such as regression analysis and mathematical statistics, alongside specialized courses in statistical learning, multivariate data analysis, and Bayesian inference.

Full-Time

Program Specializations:

Machine Learning

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

Admissions

Careers

Launch Data Scientist career in Cross-Industry AI with data science focus

Program Details

Duration

4 Years

Tuition

55980

View funding options →

Format

On-Campus

Specializations

Machine Learning

Official Resources

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