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{
    "id": 292676,
    "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: Basic</span></h2></div><div><span>0</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-A\"><div data-test=\"ruleView-A-result\"><div>Basic core is met by courses specifically identified in the GEP and CPP: \nCOP3223C, MAC2311C, MAC2312, MAC2313, STA2023, BSC2010C, and (CHM2045C or PHY2048/PHY2048L or PHY2048C or PHY2053/PHY2053L or PHY2053C) and (CHM2046/CHM2046L or BSC2011C or PHY2049/PHY2049L or PHY2049C or PHY2054/PHY2054L or PHY2054C).</div></div></li></ul></div></div></section><section><header data-test=\"grouping-1-header\"><div><h2 data-testid=\"grouping-label\"><span>Core Requirements: Advanced</span></h2></div><div><span>40 - 41</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\">Complete the following: <div><ul style=\"margin-top:5px;margin-bottom:5px\"><li><span><a href=\"#/courses/view/60ca6a73a38edf1ecc3ec2e6\" target=\"_blank\">COT4500</a> <!-- -->-<!-- --> <!-- -->Numerical Calculus<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca6b74a38edf8bf53ec49b\" target=\"_blank\">ENC3241</a> <!-- -->-<!-- --> <!-- -->Writing for the Technical Professional<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca815002fd3aa6f76d8989\" target=\"_blank\">STA4102</a> <!-- -->-<!-- --> <!-- -->Computer Processing of Statistical Data<!-- --> <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/60ca81505a1583dfdd9e74e6\" target=\"_blank\">STA4321</a> <!-- -->-<!-- --> <!-- -->Statistical Theory I<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca81505ada376a70eca0ca\" target=\"_blank\">STA4322</a> <!-- -->-<!-- --> <!-- -->Statistical Theory II<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li></ul></div></div></li><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/60ca7fcaa38edf92c43ec7b3\" target=\"_blank\">MAS3105</a> <!-- -->-<!-- --> <!-- -->Matrix and Linear Algebra<!-- --> <span style=\"margin-left:5px\">(4)</span></span></li><li><span><a href=\"#/courses/view/61d70b22560b8d45a7b11279\" target=\"_blank\">MAS3106</a> <!-- -->-<!-- --> <!-- -->Linear Algebra<!-- --> <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>4</span> of the following: <div><ul style=\"margin-top:5px;margin-bottom:5px\"><li><span><a href=\"#/courses/view/60ca8150e6bc7954af73ec38\" target=\"_blank\">STA4173</a> <!-- -->-<!-- --> <!-- -->Biostatistical Methods<!-- --> <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><li><span><a href=\"#/courses/view/60ca81509d75353f44877390\" target=\"_blank\">STA4222</a> <!-- -->-<!-- --> <!-- -->Sample Survey Methods<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca8150a8d2fb31b42d857f\" target=\"_blank\">STA4345</a> <!-- -->-<!-- --> <!-- -->Applied Bayesian Statistics<!-- --> <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><li><span><a href=\"#/courses/view/60ca81505a158388209e74e4\" target=\"_blank\">STA4502</a> <!-- -->-<!-- --> <!-- -->Nonparametric Statistical Methods<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca815402fd3a5e656d898c\" target=\"_blank\">STA4504</a> <!-- -->-<!-- --> <!-- -->Categorical Data Analysis<!-- --> <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><li><span><a href=\"#/courses/view/60ca81545ada378093eca0cc\" target=\"_blank\">STA4664</a> <!-- -->-<!-- --> <!-- -->Statistical Quality Control<!-- --> <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></ul></li></ul></div></div></section><section><header data-test=\"grouping-2-header\"><div><h2 data-testid=\"grouping-label\"><span>Restricted Electives</span></h2></div><div><span>9</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\">Earn at least <span>9</span> credits from the following types of courses: <div>Select from upper division or graduate (5000 level), statistics (STA or ISC prefix), mathematics, or computer science courses. Selected courses in engineering or business may be used but must first be approved by the Department of Statistics and Data Science.</div></div></li><li data-test=\"ruleView-B\"><div data-test=\"ruleView-B-result\"><div>The following courses cannot be used to satisfy this requirement:\nMHF 4404 - History of Mathematics\nAny course with the MAE prefix</div></div></li></ul></li></ul></div></div></section><h3>Grand Total Credits:<!-- --> <strong>49 - 50</strong></h3></div><h3>Total Undergraduate Credit Hours Required: 120</h3> <p><strong>Electives</strong></p> <p>To fulfill the 120 hours required of this degree, select primarily from upper level courses after meeting with an Academic Success Coach (ASC) in consultation with the departmental faculty advisor. Courses may be outside the department.</p> <br /> <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>Students must earn at least a &quot;C&quot; (2.0) in each course with a STA prefix.</li> <li>Students must achieve a minimum 2.0 cumulative GPA in all computer science and mathematics courses satisfying major requirements.</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> <ul> <li> <p>Application and admissions through The Burnett Honors College. More information about Honors in the Major can be found at honors.ucf.edu/research.</p> </li> </ul> <p><strong>Related Programs</strong></p> <ul> <li>Actuarial Science (B.S.)</li> <li>Mathematics (B.S.)</li> <li>Secondary Education, Mathematics Education Track (B.S.)</li> <li>Actuarial Science Minor</li> <li>Statistics Minor</li> <li>Mathematics 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.</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/\">https://sciences.ucf.edu/cosas/</a> and click on &quot;COS Course Evaluation&quot;.</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 is a prerequisite for Computer Sciences courses and still may need to be taken.</li> <li>Biology: any 2 laboratory courses for majors with BSC, CHM, or PHY prefixes will satisfy the CPP.</li> <li>Statistics: although any STA 2XXX course will satisfy the CPP, STA 2023 is required in the program's core and will still need to be taken.</li> </ul> </li> </ul> <p><strong>Program Academic Learning Compacts</strong></p> <ul> <li>Program Academic Learning Compacts (student learning outcomes) for undergraduate programs are located at: <a href=\"http://www.oeas.ucf.edu/alc/academic_learning_compacts.htm\" target=\"_blank\"><em>http://www.oeas.ucf.edu/alc/academic_learning_compacts.htm</em></a></li> </ul> <br />",
    "primary": false,
    "program": 1549
}