BS in Statistics: Machine Learning Track

University of California, Davis

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

What You'll Learn

• Apply statistical learning methodologies to predictive modeling for complex datasets. • Analyze high-dimensional data using algorithmic and theoretical approaches. • Build and evaluate machine learning models for explanatory and predictive purposes. • Interpret statistical models and communicate findings effectively.

Typical Courses

1. Statistical Learning Theory 2. Machine Learning Algorithms 3. Predictive Modeling 4. High-Dimensional Data Analysis 5. Supervised Learning Methods 6. Unsupervised Learning Techniques

Career Paths

1. Machine Learning Engineer 2. Data Scientist 3. Statistical Modeler 4. Predictive Analytics Specialist