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            "description": "<p>The Data Science minor program is a cooperative effort between the Department of Mathematics, the Department of Statistics and Data Science, the Department of Computer Science, and the Department of Industrial Engineering. The Data Science minor program offers students the chance to develop an appreciation for applying data science alongside their major program. This prepares them for academic, industrial or governmental employment, as well as advanced study, while also fostering analytical skills, initiative and independence that are valuable for general problem-solving.</p>",
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            "description": "<p>The Data Science minor program is a cooperative effort between the Department of Mathematics, the Department of Statistics and Data Science, the Department of Computer Science, and the Department of Industrial Engineering. The Data Science minor program offers students the chance to develop an appreciation for applying data science alongside their major program. This prepares them for academic, industrial or governmental employment, as well as advanced study, while also fostering analytical skills, initiative and independence that are valuable for general problem-solving.</p><h2>Program Prerequisites</h2><ul><li>Complete the following: <ul><li>MAC2311C - Calculus with Analytic Geometry I (4)</li><li>MAC2312 - Calculus with Analytic Geometry II (4)</li><li>MAC2313 - Calculus with Analytic Geometry III (4)</li><li>STA2023 - Statistical Methods I (3)</li></ul></li></ul><h2>Degree Requirements</h2>19 - 20 Total Credits <ul><li>Complete all of the following<ul><li>A grade of \"C\" (2.0) or better is required in all courses used to satisfy the minor.  · At least 12 hours of upper-division courses used in the minor must be earned at UCF within the Department of Mathematics, the Department of Statistics and Data Science, the Department of Computer Science, or the Department of Industrial Engineering.</li><li>Complete the following: <ul><li>MAS3105 - Matrix and Linear Algebra (4)</li><li>COP3502C - Computer Science I (3)</li><li>ISC4241 - Data Science I (3)</li><li>ISC4242 - Data Science II (3)</li><li>STA4364 - Statistical Foundations of Data Science and Artificial Intelligence I (3)</li></ul></li><li>Complete at least 1 of the following: <ul><li>CIS4340 - Data Management Technology (3)</li><li>COP4283 - Data Science Programming (3)</li><li>ISC4311 - Predictive Analytics (3)</li><li>ISC4551 - Data Graphics and Visualization (3)</li><li>STA4365 - Statistical Foundations of Data Science and Artificial Intelligence II (3)</li><li>STA4163H - Honors Statistical Methods II (3)</li><li>STA4164 - Statistical Methods III (3)</li><li>STA4724 - Big Data Analytics Methods (4)</li><li>CAP4611 - Algorithms for Machine Learning (3)</li><li>ESI4312 - Deterministic Methods for Operations Research (3)</li><li>MAP4112 - Mathematical Foundations of Machine Learning and Artificial Intelligence (3)</li><li>STA4241 - Statistical Learning (3)</li></ul></li></ul></li></ul><h3>Grand Total Credits: <strong>19 - 20</strong></h3><p><strong>Total Hours Required</strong> 19-20</p><p><strong>Certificate Requirements</strong>: None</p><p><strong>Other requirements</strong>:</p><ul> <li>Internship, Co-op, or Independent Study credit cannot be used toward the minor.</li> <li>At least 12 credit hours of upper division (3000-4999) level coursework must be earned within the Department of Mathematics, the Department of Statistics and Data Science, the Department of Computer Science, or the Department of Industrial Engineering.</li> </ul>",
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            "description": "<p>The Data Science minor program is a cooperative effort between the Department of Mathematics, the Department of Statistics and Data Science, the Department of Computer Science, and the Department of Industrial Engineering. The Data Science minor program offers students the chance to develop an appreciation for applying data science alongside their major program. This prepares them for academic, industrial or governmental employment, as well as advanced study, while also fostering analytical skills, initiative and independence that are valuable for general problem-solving.</p>",
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            "description": "<h1>Program Prerequisites</h1><div><div><div><ul><li data-test=\"ruleView-A\"><div data-test=\"ruleView-A-result\">Complete the following: <div><ul style=\"margin-top:5px;margin-bottom:5px\"><li><span><a href=\"#/courses/view/65f2f7c4ecc785063ce8a057\" target=\"_blank\">MAC2311C</a> <!-- -->-<!-- --> <!-- -->Calculus with Analytic Geometry I<!-- --> <span style=\"margin-left:5px\">(4)</span></span></li><li><span><a href=\"#/courses/view/60ca7fb8e6bc796e3173e8a7\" target=\"_blank\">MAC2312</a> <!-- -->-<!-- --> <!-- -->Calculus with Analytic Geometry II<!-- --> <span style=\"margin-left:5px\">(4)</span></span></li><li><span><a href=\"#/courses/view/60ca7fb802fd3a261a6d8744\" target=\"_blank\">MAC2313</a> <!-- -->-<!-- --> <!-- -->Calculus with Analytic Geometry III<!-- --> <span style=\"margin-left:5px\">(4)</span></span></li><li><span><a href=\"#/courses/view/65f2f8df7bb03bf024741c15\" target=\"_blank\">STA2023</a> <!-- -->-<!-- --> <!-- -->Statistical Methods I<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li></ul></div></div></li></ul></div></div></div><h1>Degree Requirements</h1><div><section><header data-test=\"grouping-0-header\"><div><h2 data-testid=\"grouping-label\"><span></span></h2></div><div><span>19 - 20</span><span>Total Credits</span></div><div><div><button aria-label=\"Collapse\"><i></i></button></div></div></header><div><div><ul><li><span>Complete <!-- -->all<!-- --> of the following</span><ul><li data-test=\"ruleView-A\"><div data-test=\"ruleView-A-result\"><div>A grade of &quot;C&quot; (2.0) or better is required in all courses used to satisfy the minor.\n\n· At least 12 hours of upper-division courses used in the minor must be earned at UCF within the Department of Mathematics, the Department of Statistics and Data Science, the Department of Computer Science, or the Department of Industrial Engineering.</div></div></li><li data-test=\"ruleView-B\"><div data-test=\"ruleView-B-result\">Complete the following: <div><ul style=\"margin-top:5px;margin-bottom:5px\"><li><span><a href=\"#/courses/view/60ca7fcaa38edf92c43ec7b3\" target=\"_blank\">MAS3105</a> <!-- -->-<!-- --> <!-- -->Matrix and Linear Algebra<!-- --> <span style=\"margin-left:5px\">(4)</span></span></li><li><span><a href=\"#/courses/view/60ca6a6ca38edf7b4f3ec2d0\" target=\"_blank\">COP3502C</a> <!-- -->-<!-- --> <!-- -->Computer Science I<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca7fa660402baf16ae7676\" target=\"_blank\">ISC4241</a> <!-- -->-<!-- --> <!-- -->Data Science I<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca7fa55ada37b0a8ec9ef1\" target=\"_blank\">ISC4242</a> <!-- -->-<!-- --> <!-- -->Data Science II<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca8150a38edf47f13ecb1f\" target=\"_blank\">STA4364</a> <!-- -->-<!-- --> <!-- -->Statistical Foundations of Data Science and Artificial Intelligence I<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li></ul></div></div></li><li data-test=\"ruleView-C\"><div data-test=\"ruleView-C-result\">Complete at least <span>1</span> of the following: <div><ul style=\"margin-top:5px;margin-bottom:5px\"><li><span><a href=\"#/courses/view/60ca6a4d02fd3ad4916d82f9\" target=\"_blank\">CIS4340</a> <!-- -->-<!-- --> <!-- -->Data Management Technology<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca6a6d6b6b62194e40008a\" target=\"_blank\">COP4283</a> <!-- -->-<!-- --> <!-- -->Data Science Programming<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca7fa6a38edfff4f3ec737\" target=\"_blank\">ISC4311</a> <!-- -->-<!-- --> <!-- -->Predictive Analytics<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca7fa502fd3a18ac6d86fc\" target=\"_blank\">ISC4551</a> <!-- -->-<!-- --> <!-- -->Data Graphics and Visualization<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca8150e6bc794b7173ec36\" target=\"_blank\">STA4365</a> <!-- -->-<!-- --> <!-- -->Statistical Foundations of Data Science and Artificial Intelligence II<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca81505a1583b7979e74e5\" target=\"_blank\">STA4163H</a> <!-- -->-<!-- --> <!-- -->Honors Statistical Methods II<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca8150a38edf3d653ecb22\" target=\"_blank\">STA4164</a> <!-- -->-<!-- --> <!-- -->Statistical Methods III<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca8154e6bc79713073ec42\" target=\"_blank\">STA4724</a> <!-- -->-<!-- --> <!-- -->Big Data Analytics Methods<!-- --> <span style=\"margin-left:5px\">(4)</span></span></li><li><span><a href=\"#/courses/view/60ca6a2b00f827b72f140cdc\" target=\"_blank\">CAP4611</a> <!-- -->-<!-- --> <!-- -->Algorithms for Machine Learning<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/6170800f0f96c966504f8201\" target=\"_blank\">ESI4312</a> <!-- -->-<!-- --> <!-- -->Deterministic Methods for Operations Research<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca7fc260402b0c60ae76b0\" target=\"_blank\">MAP4112</a> <!-- -->-<!-- --> <!-- -->Mathematical Foundations of Machine Learning and Artificial Intelligence<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca815002fd3a83bd6d8988\" target=\"_blank\">STA4241</a> <!-- -->-<!-- --> <!-- -->Statistical Learning<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li></ul></div></div></li></ul></li></ul></div></div></section><h3>Grand Total Credits:<!-- --> <strong>19 - 20</strong></h3></div><p><strong>Total Hours Required</strong> 19-20</p> <p><strong>Certificate Requirements</strong>: None</p> <p><strong>Other requirements</strong>:</p> <ul> <li>Internship, Co-op, or Independent Study credit cannot be used toward the minor.</li> <li>At least 12 credit hours of upper division (3000-4999) level coursework must be earned within the Department of Mathematics, the Department of Statistics and Data Science, the Department of Computer Science, or the Department of Industrial Engineering.</li> </ul>",
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