University of California, Davis

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

Typical admitted student: High school diploma or equivalent with a competitive GPA (typically 3.5+), SAT/ACT scores optional, and strong preparation in mathematics including calculus and linear algebra.

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.

The BS in Statistics: Machine Learning Track is a Bachelor program at University of California, Davis in Davis, California offered in a on-campus format over 4 years with a focus on Machine Learning and AI Engineering / Applied AI with an estimated total tuition of $56K. Graduates commonly pursue careers as Data Scientist, with typical salaries around $105,000. Launch Data Scientist career in Cross-Industry AI with data science focus

Career Outcomes

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

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

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.

Curriculum Highlights

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

Top Employers

Top employers include tech companies like Google, Amazon, and Microsoft, as well as research institutions, financial firms, and government agencies.

Admissions

High school diploma or equivalent with a competitive GPA (typically 3.5+), SAT/ACT scores optional, and strong preparation in mathematics including calculus and linear algebra.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Optional
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: High School Diploma
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)