{"id":279,"date":"2024-08-13T01:15:53","date_gmt":"2024-08-13T01:15:53","guid":{"rendered":"https:\/\/tickle.utk.edu\/ise\/?page_id=279"},"modified":"2026-06-03T14:21:28","modified_gmt":"2026-06-03T18:21:28","slug":"masters-program","status":"publish","type":"page","link":"https:\/\/tickle.utk.edu\/ise\/academics\/grad\/masters-program\/","title":{"rendered":"MS in Industrial Engineering"},"content":{"rendered":"<p>To be fully effective in today\u2019s dynamic workplace, engineers and scientists must be able to make sound management decisions while working in fast-paced technical environments. Our master\u2019s programs offer grads the invaluable experience they need to succeed in future academic and professional settings.<\/p>\n<h2 class=\"orange-mark\">Why Study<\/h2>\n<p>As a student in our program, you\u2019ll have the chance to work alongside world renowned faculty with access to our various labs and centers, contributing to cutting-edge research that is making a global impact. Meticulous course curriculum is paired with an emphasis on student mentorship, industry knowledge and application, and real-world problem solving so graduates will succeed no matter what path they choose in industrial and systems engineering.<\/p>\n<h2 class=\"orange-mark\">Curriculum<\/h2>\n<p>Student pursuing a MS in industrial engineering will have the opportunity to take courses in diverse areas. Here is an example of just a few of the required courses:<\/p>\n<div class=\"panel-group\" id=\"custom-collapse-0\" role=\"tablist\" aria-multiselectable=\"true\"><div class=\"panel  panel panel-default\"><div class=\"panel-heading\"><h3 class=\"panel-title\"><a class=\"collapsed\" data-toggle=\"collapse\" data-parent=\"#custom-collapse-0\"\" href=\"#custom-collapse-0-0\"  aria-expanded=\"true\" aria-controls=\"#custom-collapse-0-0\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"icon-collapse\" viewBox=\"0 0 24 24\"><path d=\"M0 7.33l2.829-2.83 9.175 9.339 9.167-9.339 2.829 2.83-11.996 12.17z\"\/><\/svg> IE 516: Statistical Methods in Industrial Engineering<\/a><\/h3><\/div><div id=\"custom-collapse-0-0\" class=\"panel-collapse collapse panel-collapse collapse\"><div class=\"panel-body\">Application of classical statistical techniques to industrial engineering problems. Statistics and statistical thinking in managerial context of organizational improvement; descriptive statistics and distribution theory; relationship between statistical process control techniques and classical statistical tools; parameter estimation and hypothesis testing; goodness-of-fit testing; linear regression and correlation; analysis of variance; single and multiple factor experimental design.<\/div><\/div><\/div><div class=\"panel  panel panel-default\"><div class=\"panel-heading\"><h3 class=\"panel-title\"><a class=\"collapsed\" data-toggle=\"collapse\" data-parent=\"#custom-collapse-0\"\" href=\"#custom-collapse-0-1\"  aria-expanded=\"true\" aria-controls=\"#custom-collapse-0-1\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"icon-collapse\" viewBox=\"0 0 24 24\"><path d=\"M0 7.33l2.829-2.83 9.175 9.339 9.167-9.339 2.829 2.83-11.996 12.17z\"\/><\/svg> IE 518: Advanced Engineering Economic Analysis<\/a><\/h3><\/div><div id=\"custom-collapse-0-1\" class=\"panel-collapse collapse panel-collapse collapse\"><div class=\"panel-body\">Application of engineering economic analysis in complex decision situations. Inflation and price changes; uncertainty evaluation using non-probabilistic techniques; capital financing and project allocation; evaluations involving equipment replacement, investor-owned utilities, and public works projects; probabilistic risk analysis including computer simulation and decision trees; multi-attribute decision analysis; and other advanced topics.<\/div><\/div><\/div><div class=\"panel  panel panel-default\"><div class=\"panel-heading\"><h3 class=\"panel-title\"><a class=\"collapsed\" data-toggle=\"collapse\" data-parent=\"#custom-collapse-0\"\" href=\"#custom-collapse-0-2\"  aria-expanded=\"true\" aria-controls=\"#custom-collapse-0-2\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"icon-collapse\" viewBox=\"0 0 24 24\"><path d=\"M0 7.33l2.829-2.83 9.175 9.339 9.167-9.339 2.829 2.83-11.996 12.17z\"\/><\/svg> IE 522: Optimization Methods in Industrial Engineering<\/a><\/h3><\/div><div id=\"custom-collapse-0-2\" class=\"panel-collapse collapse panel-collapse collapse\"><div class=\"panel-body\">Development and application of fundamental deterministic optimization methods including linear programming, dynamic programming, introductory integer programming, basic game theory, and classical optimization theory applied to constrained and unconstrained models.<\/div><\/div><\/div><div class=\"panel  panel panel-default\"><div class=\"panel-heading\"><h3 class=\"panel-title\"><a class=\"collapsed\" data-toggle=\"collapse\" data-parent=\"#custom-collapse-0\"\" href=\"#custom-collapse-0-3\"  aria-expanded=\"true\" aria-controls=\"#custom-collapse-0-3\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"icon-collapse\" viewBox=\"0 0 24 24\"><path d=\"M0 7.33l2.829-2.83 9.175 9.339 9.167-9.339 2.829 2.83-11.996 12.17z\"\/><\/svg> IE 550: Graduate Seminar<\/a><\/h3><\/div><div id=\"custom-collapse-0-3\" class=\"panel-collapse collapse panel-collapse collapse\"><div class=\"panel-body\">Seminar provides an opportunity for Master\u2019s and Doctoral students to acquaint themselves with research being conducted by both faculty and graduate students in the Industrial and Systems Engineering Department, as well as select campus-wide and off-campus researchers from both academia and industry. Research work and relevant results are presented in a professional environment that promotes continued interaction among interested parties. Presentations are not restricted to thesis and dissertation work.<\/div><\/div><\/div><\/div>\n<p>Check out the <a href=\"https:\/\/catalog.utk.edu\/preview_program.php?catoid=57&amp;poid=36815\">course catalog<\/a> for more information on our graduate programs.<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>To be fully effective in today\u2019s dynamic workplace, engineers and scientists must be able to make sound management decisions while [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":153,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"template-wide.php","meta":{"inline_featured_image":false,"footnotes":""},"class_list":["post-279","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>MS in Industrial Engineering - Industrial and Systems Engineering<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/tickle.utk.edu\/ise\/academics\/grad\/masters-program\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"MS in Industrial Engineering - 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