{"id":1010,"date":"2025-02-20T15:35:23","date_gmt":"2025-02-20T20:35:23","guid":{"rendered":"https:\/\/tickle.utk.edu\/ise\/?page_id=1010"},"modified":"2026-06-03T14:24:08","modified_gmt":"2026-06-03T18:24:08","slug":"engineering-management-ms","status":"publish","type":"page","link":"https:\/\/tickle.utk.edu\/ise\/academics\/engineering-management-ms\/","title":{"rendered":"Engineering Management, MS"},"content":{"rendered":"

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 Engineering Management, MS program offer grads the invaluable experience they need to succeed in an increasingly competitive global academic and professional market.<\/p>\n

Program Overview<\/h2>\n

Our program provides working engineers with an education experience balancing technical depth with leadership, project management, financial management, technology management, organizational behavior and team relations, supply chain and manufacturing, and engineering data analytics. Hands-on curriculum empowers you with knowledge and skills needed to lead technical organizations or processes to success. The program is designed for graduates of accredited undergraduate programs in engineering or similar discipline with industrial experience in an appropriate engineering or applied science position<\/p>\n

Curriculum<\/h2>\n

Students pursuing an MS in engineering management will have the opportunity to take courses in diverse areas. Here is an example of just a few of the required courses:<\/p>\n

<\/svg> IE 516 Statistical Methods in Industrial Engineering<\/a><\/h3><\/div>
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>

<\/svg> IE 518 Advanced Engineering Economic Analysis<\/a><\/h3><\/div>
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>

<\/svg> IE 533 Theory and Practice of Engineering Management<\/a><\/h3><\/div>
Principles of engineering management, including: business and organization design, culture, leadership, marketing and competition in global economy, motivation and performance management, empowerment, organizational behavior, and diversity. Systems thinking, learning organizations, and systems dynamics modeling. Principle application to work settings and case studies.<\/div><\/div><\/div>

<\/svg> IE 536 Project Management <\/a><\/h3><\/div>
Development and management of engineering and technology projects. Project proposal preparation; resource and cost estimating; and project planning, organizing, and controlling: network diagrams and other techniques. Role of project manager: team building, conflict resolution, and contract negotiations. Discussion of typical problems and alternative solutions. Case studies and student projects.<\/div><\/div><\/div>

<\/svg> IE 537 Analytical Methods for Engineering Managers<\/a><\/h3><\/div>
Survey of management analysis and control systems through industrial engineering techniques. Qualitative and quantitative systems: methods analysis, work measurement, incentive systems, wage and salary development, production and inventory control, facility layout, linear programming, and applied operations research techniques.<\/div><\/div><\/div>

<\/svg> IE 550 Graduate Seminar (three times)<\/a><\/h3><\/div>
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

Check out the course catalog<\/a> for more information on the masters program.<\/p>\n","protected":false},"excerpt":{"rendered":"

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