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UC Davis Department of Statistics - B.S. in Statistics: Statistical Data Science
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It is recommended for students interested in statistical learning methodology, advanced data handling techniques and computational aspects of statistical analysis.Notes: These requirements were put into effect Fall 2020. Requirements from previous years can be found in the General Catalog Archive." /> <link rel="canonical" href="https://statistics.ucdavis.edu/undergrad/bs-statistical-data-science-track" /> <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/bs-statistical-data-science-track" /> <meta property="og:title" content="B.S. in Statistics: Statistical Data Science" /> <meta property="og:description" content="This track emphasizes data handling skills and statistical computation. It is recommended for students interested in statistical learning methodology, advanced data handling techniques and computational aspects of statistical analysis.Notes: These requirements were put into effect Fall 2020. 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It is recommended for students interested in statistical learning methodology, advanced data handling techniques and computational aspects of statistical analysis.</p><p class="u-clear"><em><strong>Notes:</strong> </em></p><p class="u-clear">These requirements were put into effect <strong>Fall 2020</strong>. Requirements from previous years can be found in the <a href="https://catalog.ucdavis.edu/general-catalog-downloads/">General Catalog Archive</a>.</p><h2>Preparatory Subject Matter (27 units)</h2><p><strong>Mathematics</strong></p><ul><li>MAT 21A Calculus </li><li>MAT 21B Calculus </li><li>MAT 21C Calculus </li><li>MAT 21D Vector Analysis</li><li>MAT 22A Linear Algebra</li></ul><p><strong>Computer Science</strong></p><ul><li>ECS 32A or 36A Programming<ul><li>Former courses ECS 10 or 30 or 40 may also be used.</li><li>Additional coursework in Python is also recommended (eg. ECS 32B).</li></ul></li></ul><p><strong>Statistics</strong></p><ul><li>STA 13 or 32 or 100 <ul><li>STA 32 or 100 preferred.</li></ul></li></ul><h2>Depth Subject Matter (52 units)</h2><h3 class="heading--auxiliary">Core Coursework</h3><p><strong>Statistics</strong></p><ul><li>STA 106 Analysis of Variance</li><li>STA 108 Regression Analysis</li><li>STA 131A Intro to Probability Theory or STA 130A Mathematical Statistics: Brief Course</li><li>STA 131B Intro to Mathematical Statistics or STA 130B Mathematical Statistics: Brief Course</li><li>STA 141A Fundamentals of Statistical Data Science</li><li>STA 141B Data and Web Technologies for Data Analysis</li><li>STA 141C Big Data and High Performance Statistical Computing</li><li>STA 135 Multivariate Data Analysis</li><li>STA 160 Practice in Statistical Data Science</li></ul><p><strong>Machine Learning</strong></p><ul><li>STA 142A Statistical Learning I or ECS 171 Machine Learning</li></ul><p><strong>Mathematics</strong></p><ul><li>MAT 167 Applied Linear Algebra or MAT 168 Optimization</li></ul><h3 class="heading--auxiliary">Restricted Electives</h3><p class="u-clear"><strong>Choose two: </strong></p><ul><li>STA 104 Nonparametric Statistics</li><li>STA 137 Applied time Series Analysis</li><li>STA 138 Analysis of Categorical Data</li><li>STA 142A Statistical Learning I</li><li>STA 142B Statistical Learning II </li><li>STA 144 Sampling Theory of Surveys</li><li>STA 145 Bayesian Statistical Inference</li><li>MAT 128A Numerical Analysis</li><li>MAT 170 Mathematics for Data Analytics and Decision Making </li><li>ECS 122A Algorithm Design and Analysis</li><li>ECS 165A Database Systems</li><li>ECS 158 Programming and Parallel Architectures</li><li>ECS 163 Information Interfaces</li><li>One approved course of 4 units from STA 199, 194HA, or 194HB may be used. </li></ul><p><strong>Note</strong>: A course used to fulfill a core requirement cannot be used as a restricted elective.</p><h3>Total Units: 79</h3><p> </p><h2>Sample Schedule</h2><p>This schedule can be used as a guide, but students are recommended to meet with an advisor on a regular basis to make a customized plan that works best for their unique needs and priorities. </p><p><strong>Academic Planning Resources:</strong></p><ul><li><a href="https://statistics.ucdavis.edu/courses">Statistics Course Offerings Schedule</a></li><li><a href="https://cs.ucdavis.edu/course-schedule">Computer Science Course Offerings Schedule</a></li><li><a href="https://www.math.ucdavis.edu/courses/academic-schedule">Mathematics Course Offerings Schedule</a></li></ul><div role="region" aria-label="Scrollable Table" tabindex="0" class="responsive-table"><table class="table--striped"><tbody><tr><td><strong>Freshman</strong></td><td><strong>Fall</strong></td><td><strong>Winter </strong></td><td><strong>Spring</strong></td></tr><tr><td> </td><td>MAT 21A</td><td>MAT 21B</td><td>MAT 21C</td></tr><tr><td> </td><td> </td><td>ECS 32A or 36A</td><td>STA 13 or 32 or 100</td></tr><tr><td><strong>Sophomore</strong></td><td><strong>Fall</strong></td><td><strong>Winter</strong></td><td><strong>Spring</strong></td></tr><tr><td> </td><td>MAT 21D</td><td>STA 108</td><td>STA 106</td></tr><tr><td> </td><td>MAT 22A</td><td>ECS 32B*</td><td>STA 141A</td></tr><tr><td><strong>Junior</strong></td><td><strong>Fall</strong></td><td><strong>Winter</strong></td><td><strong>Spring</strong></td></tr><tr><td> </td><td>STA 131A or 130A</td><td>STA 131B or 130B</td><td>STA 141C</td></tr><tr><td> </td><td>MAT 167 or 168</td><td>STA 141B</td><td>STA 135</td></tr><tr><td><strong>Senior</strong></td><td><strong>Fall</strong></td><td><strong>Winter</strong></td><td><strong>Spring</strong></td></tr><tr><td> </td><td>STA/MAT/ECS Restricted Elective</td><td>STA 142A or ECS 171</td><td>STA 160</td></tr><tr><td> </td><td> </td><td>STA/MAT/ECS Restricted Elective</td><td> </td></tr></tbody></table></div><p>* Recommended course (not required).</p></div> </div> </div> </div> </div> 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