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"description": "<p>The Industrial Mathematics track in the Mathematical Science MS program prepares graduate students to pursue careers in industry by providing them with high-quality professional training in branches of mathematics valuable to high-technology industries. This track has three components: training in the necessary mathematics to pursue a career in industrial mathematics, professional training to prepare for the environment of the industrial workplace, and a required experiential component.</p><p><strong>Total Credit Hours Required: 30 Credit Hours Minimum beyond the Bachelor's Degree</strong></p>",
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"description": "<p>The Industrial Mathematics track in the Mathematical Science MS program prepares graduate students to pursue careers in industry by providing them with high-quality professional training in branches of mathematics valuable to high-technology industries. This track has three components: training in the necessary mathematics to pursue a career in industrial mathematics, professional training to prepare for the environment of the industrial workplace, and a required experiential component.</p><p><strong>Total Credit Hours Required: 30 Credit Hours Minimum beyond the Bachelor's Degree</strong></p><h2>Track Prerequisites</h2><p>The following courses are required as prerequisites to this track: Calculus with Analytic Geometry I, II, and III; Differential Equations; Linear Algebra; proficiency in a computer language (Python, MATLAB, or C); maturity in the language of advanced calculus (at the level of MAA 4226), and Statistics.</p><h2>Degree Requirements</h2><h3>Required Courses</h3> 12 Total Credits <ul><li>Complete the following: <ul><li>MAA5237 - Mathematical Analysis (3)</li><li>MAS5145 - Advanced Linear Algebra and Matrix Theory (3)</li><li>MAT5712 - Scientific Computing (3)</li><li>MAP6385 - Applied Numerical Mathematics (3)</li></ul></li></ul><h3>Restricted Electives</h3> 12 Total Credits <ul><li>Complete at least 4 of the following: <ul><li>MAA5238 - Measure and Probability I (3)</li><li>MAA6245 - Measure and Probability II (3)</li><li>MAP6111 - Mathematical Statistics (3)</li><li>MAP5336 - Ordinary Differential Equations and Applications (3)</li><li>MAP6356 - Partial Differential Equations (3)</li><li>MAA6405 - Complex Analysis I (3)</li><li>MAA6306 - Real Analysis (3)</li><li>MAA6506 - Functional Analysis (3)</li><li>MAA7239 - Asymptotic Methods in Mathematical Statistics (3)</li><li>MAD5205 - Graph Theory I (3)</li><li>MAD6309 - Graph Theory II (3)</li><li>MAP7386 - Numerical Solutions of PDE (3)</li><li>MAP6118 - Introduction to Nonlinear Dynamics (3)</li><li>MAP6195 - Mathematical Foundations for Massive Data Modeling and Analysis (3)</li><li>MAP6197 - Mathematical Introduction to Deep Learning (3)</li><li>MAP6207 - Optimization Theory (3)</li><li>MAP6218 - Stochastic Calculus (3)</li><li>MAP6387 - Numerical Linear Algebra (3)</li><li>MAP6416 - Applied and Computational Harmonic Analysis (3)</li><li>MAP6445 - Approximation Techniques (3)</li><li>MAP6469 - Bayesian Analysis and Approximation Theory (3)</li><li>MAP7359 - Advanced Topics in Partial Differential Equations (3)</li></ul></li></ul><h3>Professional Development Restricted Electives and Internship</h3> 6 Total Credits <ul><li>Complete 1 of the following<ul>Option 1<li>Complete at least 2 of the following: <ul><li>ENT6016 - New Venture Design (3)</li><li>ENT6617 - Entrepreneurship in Established Organizations (3)</li><li>ENT6946 - Small Business Consulting (3)</li><li>MAN6245 - Organizational Behavior and Development (3)</li></ul></li> Option 2<li>Complete all of the following<ul><li>Complete at least 1 of the following: <ul><li>ENT6016 - New Venture Design (3)</li><li>ENT6617 - Entrepreneurship in Established Organizations (3)</li><li>ENT6946 - Small Business Consulting (3)</li><li>MAN6245 - Organizational Behavior and Development (3)</li></ul></li><li>Earn at least 3 credits from the following types of courses: A student takes an industrial internship (MAP 6946) with satisfactory completion, or takes the seminar sequence: MAP5931 -Proseminar for Financial Mathematics (1) and MAP 5933 -Seminar in Financial Mathematics (2). </li></ul></li> Option 3<li>Complete all of the following<ul><li>Complete at least 1 of the following: <ul><li>ENT6016 - New Venture Design (3)</li><li>ENT6617 - Entrepreneurship in Established Organizations (3)</li><li>ENT6946 - Small Business Consulting (3)</li><li>MAN6245 - Organizational Behavior and Development (3)</li></ul></li><li>Complete at least 1 of the following: <ul><li>MAP5117 - Mathematical Modeling (3)</li><li>MAP6197 - Mathematical Introduction to Deep Learning (3)</li><li>MAP6195 - Mathematical Foundations for Massive Data Modeling and Analysis (3)</li></ul></li></ul></li></ul></li></ul><h4>Grand Total Credits: <strong>30</strong></h4><h2>Application Requirements</h2><h2>Financial Information</h2><h2>Fellowship Information</h2>The program consists of 30 credit hours of courses and internship. Students will work with an adviser to design a program of study, which will be presented to the program director for approval. If a student has an industrial sponsor, the student's program of study will be developed in consultation with a representative from their sponsoring company. Students are expected to obtain hands-on experience. The capstone requirement for this track is fulfilled by students completing an experiential learning requirement (3 credit hours). At least one-half of the program courses must be taken at the 6000 level.",
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"description": "<p style=\"font-weight: 400;\">The Industrial Mathematics track in the Mathematical Science MS program prepares graduate students to pursue careers in industry by providing them with high-quality professional training in branches of mathematics valuable to high-technology industries. This track has three components: training in the necessary mathematics to pursue a career in industrial mathematics, professional training to prepare for the environment of the industrial workplace, and a required experiential component.</p> <p style=\"font-weight: 400;\"> </p> <p style=\"font-weight: 400;\"><strong>Total Credit Hours Required: 30 Credit Hours Minimum beyond the Bachelor's Degree</strong></p>",
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"description": "<h1>Track Prerequisites</h1><p style=\"font-weight: 400;\">The following courses are required as prerequisites to this track: Calculus with Analytic Geometry I, II, and III; Differential Equations; Linear Algebra; proficiency in a computer language (Python, MATLAB, or C); maturity in the language of advanced calculus (at the level of MAA 4226), and Statistics.</p><h1>Degree Requirements</h1><div><section><header data-test=\"grouping-0-header\"><div><h2 data-testid=\"grouping-label\"><span>Required Courses</span></h2></div><div><span>12</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\">Complete the following: <div><ul style=\"margin-top:5px;margin-bottom:5px\"><li><span><a href=\"#/courses/view/60ca7fb7e6bc7968ca73e8a4\" target=\"_blank\">MAA5237</a> <!-- -->-<!-- --> <!-- -->Mathematical Analysis<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca7fc95ada374d7aec9f3b\" target=\"_blank\">MAS5145</a> <!-- -->-<!-- --> <!-- -->Advanced Linear Algebra and Matrix Theory<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca7fcd5ada37c20eec9f41\" target=\"_blank\">MAT5712</a> <!-- -->-<!-- --> <!-- -->Scientific Computing<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca7fc3a38edf75a13ec7ab\" target=\"_blank\">MAP6385</a> <!-- -->-<!-- --> <!-- -->Applied Numerical Mathematics<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li></ul></div></div></li></ul></div></div></section><section><header data-test=\"grouping-1-header\"><div><h2 data-testid=\"grouping-label\"><span>Restricted Electives</span></h2></div><div><span>12</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\">Complete at least <span>4</span> of the following: <div><ul style=\"margin-top:5px;margin-bottom:5px\"><li><span><a href=\"#/courses/view/675312043bcc24b93e319d22\" target=\"_blank\">MAA5238</a> <!-- -->-<!-- --> <!-- -->Measure and Probability I<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca7fb760402b1119ae7699\" target=\"_blank\">MAA6245</a> <!-- -->-<!-- --> <!-- -->Measure and Probability II<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca7fc35a158306459e706c\" target=\"_blank\">MAP6111</a> <!-- -->-<!-- --> <!-- -->Mathematical Statistics<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca7fc2a38edf2ea93ec7aa\" target=\"_blank\">MAP5336</a> <!-- -->-<!-- --> <!-- -->Ordinary Differential Equations and Applications<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca7fc360402b48e5ae76b4\" target=\"_blank\">MAP6356</a> <!-- -->-<!-- --> <!-- -->Partial Differential Equations<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/67531c9c3972fae43e6a7841\" target=\"_blank\">MAA6405</a> <!-- -->-<!-- --> <!-- -->Complex Analysis I<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca7fb7a38edf87ba3ec786\" target=\"_blank\">MAA6306</a> <!-- -->-<!-- --> <!-- -->Real Analysis<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca7fb85ada37082dec9f17\" target=\"_blank\">MAA6506</a> <!-- -->-<!-- --> <!-- -->Functional Analysis<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca7fb89d75359af28770be\" target=\"_blank\">MAA7239</a> <!-- -->-<!-- --> <!-- -->Asymptotic Methods in Mathematical Statistics<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca7fb960402b61fcae769e\" target=\"_blank\">MAD5205</a> <!-- -->-<!-- --> <!-- -->Graph Theory I<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca7fb9a38edf28163ec78c\" target=\"_blank\">MAD6309</a> <!-- -->-<!-- --> <!-- -->Graph Theory II<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca7fc45a15830f359e7070\" target=\"_blank\">MAP7386</a> <!-- -->-<!-- --> <!-- -->Numerical Solutions of PDE<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca7fc3e6bc79bd6b73e8dd\" target=\"_blank\">MAP6118</a> <!-- -->-<!-- --> <!-- -->Introduction to Nonlinear Dynamics<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca7fc3e6bc791b8e73e8df\" target=\"_blank\">MAP6195</a> <!-- -->-<!-- --> <!-- -->Mathematical Foundations for Massive Data Modeling and Analysis<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca7fc3e6bc796ef573e8e0\" target=\"_blank\">MAP6197</a> <!-- -->-<!-- --> <!-- -->Mathematical Introduction to Deep Learning<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca7fc4e6bc794ed273e8e2\" target=\"_blank\">MAP6207</a> <!-- -->-<!-- --> <!-- -->Optimization Theory<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca7fc35a1583e16a9e706b\" target=\"_blank\">MAP6218</a> <!-- -->-<!-- --> <!-- -->Stochastic Calculus<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca7fc360402ba414ae76b3\" target=\"_blank\">MAP6387</a> <!-- -->-<!-- --> <!-- -->Numerical Linear Algebra<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca7fc35ada37bd60ec9f30\" target=\"_blank\">MAP6416</a> <!-- -->-<!-- --> <!-- -->Applied and Computational Harmonic Analysis<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca7fc35a158340cc9e706d\" target=\"_blank\">MAP6445</a> <!-- -->-<!-- --> <!-- -->Approximation Techniques<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca7fc3a8d2fbd24f2d83e6\" target=\"_blank\">MAP6469</a> <!-- -->-<!-- --> <!-- -->Bayesian Analysis and Approximation Theory<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca7fc5a8d2fbf4ac2d83e7\" target=\"_blank\">MAP7359</a> <!-- -->-<!-- --> <!-- -->Advanced Topics in Partial Differential Equations<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li></ul></div></div></li></ul></div></div></section><section><header data-test=\"grouping-2-header\"><div><h2 data-testid=\"grouping-label\"><span>Professional Development Restricted Electives and Internship</span></h2></div><div><span>6</span><span>Total Credits</span></div><div><div><button aria-label=\"Collapse\"><i></i></button></div></div></header><div><div><ul><li><span>Complete <!-- -->1<!-- --> of the following</span><ul><div><span class=\"rules_groupHeader_37\">Option 1</span><li data-test=\"ruleView-A.1\"><div data-test=\"ruleView-A.1-result\">Complete at least <span>2</span> of the following: <div><ul style=\"margin-top:5px;margin-bottom:5px\"><li><span><a href=\"#/courses/view/65cd14eaa45960c0e8c22a61\" target=\"_blank\">ENT6016</a> <!-- -->-<!-- --> <!-- -->New Venture Design<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/65cf84fb54198043c2b6e4b0\" target=\"_blank\">ENT6617</a> <!-- -->-<!-- --> <!-- -->Entrepreneurship in Established Organizations<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/65cf84a1e6910f264c6a49f8\" target=\"_blank\">ENT6946</a> <!-- -->-<!-- --> <!-- -->Small Business Consulting<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca7fbc5ada37ae92ec9f21\" target=\"_blank\">MAN6245</a> <!-- -->-<!-- --> <!-- -->Organizational Behavior and Development<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li></ul></div></div></li></div><div><span class=\"rules_groupHeader_37\">Option 2</span><li><span>Complete <!-- -->all<!-- --> of the following</span><ul><li data-test=\"ruleView-B.1\"><div data-test=\"ruleView-B.1-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/65cd14eaa45960c0e8c22a61\" target=\"_blank\">ENT6016</a> <!-- -->-<!-- --> <!-- -->New Venture Design<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/65cf84fb54198043c2b6e4b0\" target=\"_blank\">ENT6617</a> <!-- -->-<!-- --> <!-- -->Entrepreneurship in Established Organizations<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/65cf84a1e6910f264c6a49f8\" target=\"_blank\">ENT6946</a> <!-- -->-<!-- --> <!-- -->Small Business Consulting<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca7fbc5ada37ae92ec9f21\" target=\"_blank\">MAN6245</a> <!-- -->-<!-- --> <!-- -->Organizational Behavior and Development<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li></ul></div></div></li><li data-test=\"ruleView-B.2\"><div data-test=\"ruleView-B.2-result\">Earn at least <span>3</span> credits from the following types of courses: <div>A student takes an industrial internship (MAP 6946) with satisfactory completion, or takes the seminar sequence: MAP5931 -Proseminar for Financial Mathematics (1) and MAP 5933 -Seminar in Financial Mathematics (2).\n</div></div></li></ul></li></div><div><span class=\"rules_groupHeader_37\">Option 3</span><li><span>Complete <!-- -->all<!-- --> of the following</span><ul><li data-test=\"ruleView-C.1\"><div data-test=\"ruleView-C.1-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/65cd14eaa45960c0e8c22a61\" target=\"_blank\">ENT6016</a> <!-- -->-<!-- --> <!-- -->New Venture Design<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/65cf84fb54198043c2b6e4b0\" target=\"_blank\">ENT6617</a> <!-- -->-<!-- --> <!-- -->Entrepreneurship in Established Organizations<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/65cf84a1e6910f264c6a49f8\" target=\"_blank\">ENT6946</a> <!-- -->-<!-- --> <!-- -->Small Business Consulting<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca7fbc5ada37ae92ec9f21\" target=\"_blank\">MAN6245</a> <!-- -->-<!-- --> <!-- -->Organizational Behavior and Development<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li></ul></div></div></li><li data-test=\"ruleView-C.2\"><div data-test=\"ruleView-C.2-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/60ca7fc25a15832e469e7062\" target=\"_blank\">MAP5117</a> <!-- -->-<!-- --> <!-- -->Mathematical Modeling<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca7fc3e6bc796ef573e8e0\" target=\"_blank\">MAP6197</a> <!-- -->-<!-- --> <!-- -->Mathematical Introduction to Deep Learning<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li><li><span><a href=\"#/courses/view/60ca7fc3e6bc791b8e73e8df\" target=\"_blank\">MAP6195</a> <!-- -->-<!-- --> <!-- -->Mathematical Foundations for Massive Data Modeling and Analysis<!-- --> <span style=\"margin-left:5px\">(3)</span></span></li></ul></div></div></li></ul></li></div></ul></li></ul></div></div></section><h3>Grand Total Credits:<!-- --> <strong>30</strong></h3></div><h1>Application Requirements</h1><h1>Financial Information</h1><h1>Fellowship Information</h1><div>The program consists of 30 credit hours of courses and internship. Students will work with an adviser to design a program of study, which will be presented to the program director for approval. If a student has an industrial sponsor, the student's program of study will be developed in consultation with a representative from their sponsoring company. Students are expected to obtain hands-on experience. The capstone requirement for this track is fulfilled by students completing an experiential learning requirement (3 credit hours). At least one-half of the program courses must be taken at the 6000 level.</div>",
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