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{
    "id": 293824,
    "description_type": {
        "id": 5,
        "name": "Source Catalog Curriculum"
    },
    "description": "<h1>Degree Requirements</h1><div><section><header data-test=\"grouping-0-header\"><div><h2 data-testid=\"grouping-label\"><span>Core Requirements: Advanced Level</span></h2></div><div><span>66</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-B\"><div data-test=\"ruleView-B-result\"><div>Basic core is met by courses specifically identified in the GEP and CPP. \nBSC2010C, COP3223C, MAC2311C, MAC2312, MAC2313, PHY2048C (PHY2048/PHY2048L), STA2023</div></div></li><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/60ca6a6ca38edf7b4f3ec2d0\" target=\"_blank\">COP3502C</a> <!-- -->-<!-- --> <!-- -->Computer Science I<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><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/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/60ca7fa502fd3a18ac6d86fc\" target=\"_blank\">ISC4551</a> <!-- -->-<!-- --> <!-- -->Data Graphics and Visualization<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><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/60ca8150a38edf47f13ecb1f\" target=\"_blank\">STA4364</a> <!-- -->-<!-- --> <!-- -->Statistical Foundations of Data Science and Artificial Intelligence I<!-- --> <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/60ca81509d753573af87738e\" target=\"_blank\">STA4163</a> <!-- -->-<!-- --> <!-- -->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/67c3bcff5cf82f2f748647a5\" target=\"_blank\">STA4724</a> <!-- -->-<!-- --> <!-- -->Big Data Analytics Methods<!-- --> <span style=\"margin-left:5px\">(4)</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/654135bf02bb85af2f36957f\" target=\"_blank\">COT3100C</a> <!-- -->-<!-- --> <!-- -->Introduction to Discrete Structures<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca7fdaa38edf827a3ec7f0\" target=\"_blank\">MHF3302</a> <!-- -->-<!-- --> <!-- -->Logic and Proof in Mathematics<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li></ul></div></div></li><li data-test=\"ruleView-D\"><div data-test=\"ruleView-D-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/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><li data-test=\"ruleView-E\"><div data-test=\"ruleView-E-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/60ca7fa6a38edfff4f3ec737\" target=\"_blank\">ISC4311</a> <!-- -->-<!-- --> <!-- -->Predictive Analytics<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca8156a38edf30253ecb27\" target=\"_blank\">STA4852</a> <!-- -->-<!-- --> <!-- -->Applied Time Series<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li></ul></div></div></li><li data-test=\"ruleView-F\"><div data-test=\"ruleView-F-result\">Earn at least <span>19</span> credits from the following types of courses: <div>Select from upper- division (3000-level or above) courses that are not used to satisfy another degree requirement, after meeting with a departmental advisor. The program encourages selection of courses  from among those by the participating departments, but does not restrict electives to such courses.</div></div></li></ul></li></ul></div></div></section><section><header data-test=\"grouping-1-header\"><div><h2 data-testid=\"grouping-label\"><span>Capstone Requirement</span></h2></div><div><span>4</span><span>Total Credits</span></div><div><div><button aria-label=\"Collapse\"><i></i></button></div></div></header><div><div><ul><li data-test=\"ruleView-B\"><div data-test=\"ruleView-B-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/6535efb8646e96b01562f47f\" target=\"_blank\">ISC4323C</a> <!-- -->-<!-- --> <!-- -->Praxis for Data Science<!-- --> <span style=\"margin-left:5px\">(4)</span></span></li><li><span><a href=\"#/courses/view/67c212683b321bef4ac62620\" target=\"_blank\">STA4942</a> <!-- -->-<!-- --> <!-- -->Internship in Data Science<!-- --> <span style=\"margin-left:5px\">(4)</span></span></li></ul></div></div></li></ul></div></div></section><h3>Grand Total Credits:<!-- --> <strong>70</strong></h3></div><h3>Total Undergraduate Credit Hours Required: 120</h3> <p><strong>Foreign Language Requirements</strong></p> <p><u>Graduation</u></p> <ul> <li>None</li> </ul> <p><strong>Departmental Exit Requirements</strong></p> <ul> <li>All students will complete an exit interview.</li> <li>Students must earn at least a &quot;C&quot; (2.0) in each advanced core required course for the major.</li> <li>Students must achieve a minimum cumulative GPA of 2.0 in all courses satisfying major requirements.</li> </ul> <p><strong>University Minimum Exit Requirements</strong></p> <ul> <li>A 2.0 UCF GPA</li> <li>42 semester hours of upper division credit completed</li> <li>30 of the last 39 hours of course work must be completed in residency at UCF.</li> <li>A maximum of 45 hours of extension, correspondence, CLEP, Credit by Exam, and Armed Forces credits permitted.</li> <li>Complete the General Education Program, the State Writing and Math Requirement, and nine hours of summer credit</li> </ul> <p><strong>Honors In Major</strong></p> <p>Application and admissions through The Burnett Honors College and department. More information about Honors in the Major can be found at <em><a href=\"https://honors.ucf.edu/research/\" target=\"_blank\">https://honors.ucf.edu/research/</a></em>.</p> <br /> <p><strong>Related Programs</strong></p> <ul> <li>Actuarial Science (B.S.)</li> <li>Computer Science (B.S)</li> <li>Industrial Engineering (B.S.)</li> <li>Mathematics (B.S.)</li> <li>Statistics (B.S.)</li> </ul> <ul> <li>Actuarial Science Minor</li> <li>Business Minor</li> <li>Computer Science Minor</li> <li>Economics Minor</li> <li>Information Technology Minor</li> <li>Leadership Studies Minor</li> <li>Mathematics Minor</li> <li>Secure Computing and Networks Minor</li> <li>Statistics Minor</li> <li>Technological Entrepreneurship Minor</li> </ul> <p><strong>Advising Notes</strong></p> <ul> <li>It is the student's responsibility to ensure they have satisfied course prerequisites before registering for a class. Students should consult with a program advisor.</li> <li>Contact your Academic Success Coach (ASC) in the College of Sciences Advising Services (COSAS) office (CSB 250) for more information about overall progress toward your degree, GEP and other university requirements, academic probation, special problems as well as general academic advising.</li> </ul> <p><strong>Transfer Notes</strong></p> <ul> <li>Lower division courses do not substitute for upper division courses.</li> <li>Courses transferred from private and out-of-state schools must be evaluated for equivalency credit. The student must provide all supporting information.</li> <li>Submit your requests for course evaluations at <a href=\"https://sciences.ucf.edu/cosas/\"><em>https://sciences.ucf.edu/cosas/</em></a> and select  Prospective Students &gt; Transfer Course Evaluations.</li> <li>Courses transferred for equivalency to courses in the College of Engineering and Computer Science must be formally evaluated for equivalency by the relevant department.</li> <li>The following substitutions are acceptable for Common Program Prerequisites if taken as part of the AA course work. <ul> <li>Computer Science: Any COP programming language course will satisfy the CPP. However, COP 3223C (Introduction to Programming with C) is a prerequisite for Computer Science courses and still needs to be taken; however COP 2220 (C Programming) will be substituted for COP 3223C.</li> </ul> </li> </ul> <p><strong>Program Academic Learning Compacts</strong></p> <p>Program Academic Learning Compacts (student learning outcomes) for undergraduate programs are located at:<br /><em><a href=\"http://www.oeas.ucf.edu/alc/academic_learning_compacts.htm\" target=\"_blank\">http://www.oeas.ucf.edu/alc/academic_learning_compacts.htm</a></em></p> <h3><br /><br /></h3>",
    "primary": false,
    "program": 1875
}