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UC Davis Department of Statistics - Major Programs
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Based on these offerings, a student can complete a Bachelor's Degree in Data Science or a Bachelor's Degree in Statistics.Data Science ProgramThe Data Science major program offers a Bachelor of Science degree. The B.S. degree program has one track, the Foundations track. " /> <link rel="canonical" href="https://statistics.ucdavis.edu/undergrad/major-programs" /> <meta property="og:site_name" content="UC Davis Department of Statistics" /> <meta property="og:type" content="website" /> <meta property="og:url" content="https://statistics.ucdavis.edu/undergrad/major-programs" /> <meta property="og:title" content="Major Programs" /> <meta property="og:description" content="The Undergraduate ProgramThe 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 ProgramThe Data Science major program offers a Bachelor of Science degree. The B.S. degree program has one track, the Foundations track. 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Based on these offerings, a student can complete a Bachelor's Degree in <a href="#dscmajor">Data Science</a> or a Bachelor's Degree in <a href="#stamajor">Statistics</a>.</p><h2><a class="ck-anchor" id="dscmajor"></a>Data Science Program</h2><p>The Data Science major program offers a Bachelor of Science degree. The B.S. degree program has one track, the Foundations track. </p><p class="u-clear"><strong>Bachelor of Science</strong></p><ul class="list--accordion"><li>Foundations Track</li><li><p>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.<br> </p><p><a class="btn--primary" href="/undergrad/data-science/bs-foundations-track">Major Requirements (B.S.)</a></p></li></ul><p class="u-clear"><em><strong>Learning Outcomes</strong></em></p><p>Upon completion of the Data Science program, students should be able to:</p><ul><li>Use results from computer science, mathematics and statistics to design data science tools consistent with methodology in these core fields;</li><li>Formulate and use appropriate models to find solutions to data scientific problems in areas of applications;</li><li>Analyze and interpret data using an ethically responsible approach;</li><li>Effectively communicate the findings of a data analysis in oral, visual and written formats.</li></ul><h2><a class="ck-anchor" id="stamajor"></a>Statistics Programs</h2><p>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. Students choose one track to pursue based on their interests. Multiple track selection is not possible. Please follow the links below to find out more information about our major options/tracks. </p><p class="u-clear"><strong>Bachelor of Arts</strong></p><ul class="list--accordion"><li>Statistics-Applied Statistics Track</li><li>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.<br><br><a class="btn--primary" href="/undergrad/ab-applied-track">Major Requirements (A.B.)</a> </li></ul><p class="u-clear"><strong>Bachelor of Science</strong></p><ul class="list--accordion"><li>Statistics-Applied Statistics Track</li><li>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.<br><br><a class="btn--primary" href="/undergrad/bs-applied-track"><strong>Major Requirements (B.S.)</strong></a> </li><li>Statistics-Computational Statistics Track</li><li>Emphasizes computing. This major track is recommended for students interested in the computational and data management aspects of statistical analysis.<br><br><a class="btn--primary" href="/undergrad/bs-computational-track"><strong>Major Requirements (B.S.)</strong></a> </li><li>Statistics-General Track</li><li>Emphasizes statistical theory and is especially recommended as preparation for graduate study in statistics.<br><br><a class="btn--primary" href="/undergrad/bs-general-track"><strong>Major Requirements (B.S.)</strong></a> </li><li>Statistics-Machine Learning Track</li><li>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.<br><br><a class="btn--primary" href="/undergrad/bs-machine-learning-track">Major Requirements (B.S.)</a></li><li>Statistics-Statistical Data Science Track</li><li>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.<br><br><a class="btn--primary" href="/undergrad/bs-statistical-data-science-track"><strong>Major Requirements (B.S.)</strong></a> </li></ul><p class="u-clear"><em><strong>Learning Outcomes</strong></em></p><p>Students graduating with a Statistics degree will learn the basics of: </p><ul><li>statistical reasoning and inferential methods</li><li>statistical modeling and its limitations</li><li>interpreting and communicating the results of a statistical analysis</li><li>data analysis using statistical computing tools and software</li><li>probability and the mathematical foundations of statistics</li></ul><p>For an in-depth view of how Statistics major coursework covers these learning outcomes, please view our <a href="/sites/g/files/dgvnsk5166/files/inline-files/plo-curriculum-map.xlsx" data-entity-uuid="da5d49b5-aa1a-4ded-9ca3-95e9de5bebd3" data-entity-type="file">curriculum map</a>. </p></div> </div> </div> </div> </div> </article> </div> </div> </div> <aside class="l-sidebar-second"> <div class="region region-sidebar-second"> <div id="block-sitefarm-one-fladvising" class="category-brand--admin-blue block block-block-content block-block-content469bcc8f-6565-4f6b-a564-77767fd029a4 panel"> <a href="/undergrad/advising" class="focal-link"> <div class="focal-link__figure focal-link__icon"><span class="fa-solid fa-users fa-2x"></span></div> <div class="focal-link__body"> <strong> <div class="field field--name-field-sf-title field--type-string field--label-hidden field__item">Advising Resources</div> </strong> </div> </a> </div> <div id="block-sitefarm-one-flchangeofmajorprocesspolicies" class="category-brand--admin-blue block block-block-content block-block-content2c78c8d8-e5ef-4ce7-ae8b-0524dcbb757f panel"> <a href="/undergrad/advising/change-of-major" 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