University of California, Davis

How this program compares

University of California, Davis's BS in Statistics: Machine Learning Track lists about $56.0K total tuition — roughly 38% below the $89.8K AI bachelor's average (45th percentile in our data). It runs on a full-time schedule (on-campus).

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. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 4 years.

At roughly $56.0K total, University of California, Davis's BS in Statistics: Machine Learning Track sits below the $89.8K average among AI bachelor's programs we track — the 45th percentile on price. That puts it in the mid-range on price among comparable programs.

It is one of 65 AI-related programs we track in California, of which about 37% offer an online option. On price, it comes in higher than about 55% of the California programs in our data, where typical tuition runs near $63.3K.

Graduates frequently move into roles such as Data Scientist, with reported salaries around $105,000.

Apply statistical learning methodologies to predictive modeling for complex datasets.

Career Outcomes

The BS in Statistics: Machine Learning Track at University of California, Davis (Davis, California) is oriented toward Data Scientist hiring, with alumni reporting pay near $105,000. Its focus on Machine Learning and AI Engineering / Applied AI maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 30% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 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

Admission to University of California, Davis's BS in Statistics: Machine Learning Track generally expects a high school diploma. The GRE is not required here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

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

Frequently Asked Questions