CA

Bachelor's in DS/DA
On-Campus

University of California, Davis

BS in Statistics: Machine Learning Track

  • 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:
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Typical Curriculum Structure
The curriculum includes core subjects such as regression analysis and mathematical statistics, alongside specialized courses in statistical learning, multivariate data analysis, and Bayesian inference.
Typical Course Topics
1. Statistical Learning Theory 2. Machine Learning Algorithms 3. Predictive Modeling 4. High-Dimensional Data Analysis 5. Supervised Learning Methods 6. Unsupervised Learning Techniques
Program Specializations:
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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.
Academic Requirements (Typical)

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

Application Materials (Typical)

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

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

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

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
Statistician/Machine Learning Engineer: $105,000
Total compensation (entry to mid-level)
AI Job Growth
30.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. Data Scientist 3. Statistical Modeler 4. Predictive Analytics Specialist
Top AI Employers (Industry-Wide):
Top employers include tech companies like Google, Amazon, and Microsoft, as well as research institutions, financial firms, and government agencies.
Explore AI Career Paths
Program Details
Duration
  • 4 Year
Tuition
  • 55,980
Format
On-Campus
Specializations
Machine Learning
Official Resources
Program Website
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