## The Undergraduate Program

The Department of Statistics at UC Davis offers a large and varied collection of courses in statistical theory, methodology, and application. Based on these offerings, a student can complete a Bachelor's Degree in Data Science or a Bachelor's Degree in Statistics.

## Data Science Program

The Data Science major program offers a Bachelor of Science degree. The B.S. degree program has one track, the Foundations track.

**Bachelor of Science**

- Foundations Track
Emphasizes the underlying computer science, engineering, mathematics and statistics methodology and theory, and is especially recommended as preparation for graduate study in data science or related fields.

**Learning Outcomes**

Upon completion of the Data Science program, students should be able to:

- Use results from computer science, mathematics and statistics to design data science tools consistent with methodology in these core fields;
- Formulate and use appropriate models to find solutions to data scientific problems in areas of applications;
- Analyze and interpret data using an ethically responsible approach;
- Effectively communicate the findings of a data analysis in oral, visual and written formats.

## Statistics Programs

The Statistics major program offers both a Bachelor of Arts (A.B.) and a Bachelor of Science (B.S.) degree in Statistics. The Bachelor of Science has five emphases called tracks. Please follow the links below to find out more information about our major tracks.

**Bachelor of Arts**

- Statistics-Applied Statistics Track
- Emphasizes statistical applications. This major track is recommended for students who are interested in applications of statistical techniques to various disciplines, especially the social sciences.

Major Requirements (A.B.)

**Bachelor of Science**

- Statistics-Applied Statistics Track
- Emphasizes statistical applications. This major track is recommended for students who are interested in applications of statistical techniques to various disciplines including the biological, physical and social sciences.
**Major Requirements (B.S.)** - Statistics-Computational Statistics Track
- Emphasizes computing. This major track is recommended for students interested in the computational and data management aspects of statistical analysis.
**Major Requirements (B.S.)** - Statistics-General Track
- Emphasizes statistical theory and is especially recommended as preparation for graduate study in statistics.
**Major Requirements (B.S.)** - Statistics-Machine Learning Track
- Emphasizes algorithmic and theoretical aspects of statistical learning methodologies that are geared towards building predictive and explanatory models for large and complex data. It is recommended for students interested in pursuing graduate programs in statistics, machine learning, or data science, as well as for students interested in learning statistical techniques for industry.

Major Requirements (B.S.) - Statistics-Statistical Data Science Track
- Emphasizes data handling skills and statistical computation. This track is recommended for students interested in statistical learning methodology, advanced data handling techniques and computational aspects of statistical analysis.
**Major Requirements (B.S.)**

**Learning Outcomes**

Students graduating with a Statistics degree will learn the basics of:

- statistical reasoning and inferential methods
- statistical modeling and its limitations
- interpreting and communicating the results of a statistical analysis
- data analysis using statistical computing tools and software
- probability and the mathematical foundations of statistics

For an in-depth view of how Statistics major coursework covers these learning outcomes, please view our curriculum map.