Program Overview

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University Catalog

The University Catalog provides comprehensive information about the academic programs, policies, and procedures of NC State University.

Engineering Management Program

The Master of Engineering Management (MEM) degree is designed to deepen critical analytical, science, and engineering talents, as well as broaden crucial management skills. The program is 10 courses (30 credit hours) with 5 core courses and 5 courses in a concentration of the student's choice.

Concentrations

• Advanced Manufacturing
• Analytics
• Entrepreneurship
• Facilities Engineering
• General
• Health and Human Systems
• Professional Practice
• Supply Chain Engineering & Management

All concentrations include a master's project/practicum course.

Graduate Certificates

The program also offers two graduate certificates:

• Engineering Management Foundations
• Engineering Management Analytics

These certificates may be earned in conjunction with another master's degree at NC State or completed as a standalone program.

Application Information

Applicants with various science or technology undergraduate majors are considered, not just engineering. To succeed in most entry-level courses, students should have some background in:

• Mathematics (single variable calculus)
• Statistics (calculus-based statistics)

It's not mandatory, but students will benefit from undergraduate courses or experience in computer programming, and depending on the concentration area, courses or experience in matrix/linear algebra or other sciences are advantageous. Experience in physical, behavioral, and management sciences (economics, business, accounting) is also desirable.

Application Materials Needed

The MEM application requires:

• All secondary academic transcripts
• Three recommendation letters
• English proficiency scores (if applicable)
• 1–2 page personal statement
• Supplemental questionnaire

Applicant Information

• Delivery Method: On-Campus, Online, Hybrid
• Entrance Exam: None
• Interview Required: None

Application Deadlines

Please see the department admissions website for application deadlines.

Degrees

• Engineering Management (MR)
• Engineering Management (MR): Advanced Manufacturing Concentration
• Engineering Management (MR): Analytics Concentration
• Engineering Management (MR): Entrepreneurship Concentration
• Engineering Management (MR): Facilities Engineering Concentration
• Engineering Management (MR): General Concentration
• Engineering Management (MR): Health and Human Systems Concentration
• Engineering Management (MR): Professional Practice Concentration
• Engineering Management (MR): Supply Chain Engineering & Management Concentration
• Engineering Management Foundations (Certificate)
• Engineering Management Analytics (Certificate)

Faculty

Director

• Brandon M. McConnell, Interim Director

Full Professors

• Sebastian Heese, Owens Distinguished Professor of Supply Chain Management
• Jonathan Bohlmann, Professor of Marketing and Innovation
• John Baugh, Professor
• Joseph DeCarolis, Professor
• Jingyan Dong, Professor
• Shu-Cherng Fang, Walter Clark Chair Professor and University Alumni Distinguished Graduate Professor
• Yahya Fathi, Professor
• Rob Handfield, Bank of America University Distinguished Professor of Operations and Supply Chain Management
• Ola Harrysson, Edward P. Fitts Distinguished Professor
• Jessica Jameson, Professor
• Edward Jaselskis, E.I. Clancy Distinguished Professor
• Russell King, Foscue Distinguished Professor
• Yuan-Shin Lee, Professor
• Maria Mayorga, Professor
• Rohan Shirwaiker, James T. Ryan Professor
• Julie Swann, A. Doug Allison Distinguished Professor and Department Head
• Daowen Zhang, Professor

Associate Professors

• Karen Chen, Associate Professor
• Adolfo R. Escobedo, Associate Professor
• Xiaolei Fang, Associate Professor
• Leila Hajibabai, Associate Professor
• Tim Horn, Associate Professor
• Michael Kay, Associate Professor
• Tim Kraft, Associate Professor of Operations and Supply Chain Management
• Osman Ozaltin, Associate Professor of Personalized Medicine
• Daniel Saloni, Associate Professor
• Jeffrey Stonebraker, Associate Professor of Operations and Supply Chain Management
• Hong Wan, Associate Professor
• Don Warsing, Associate Professor of Operations and Supply Chain Management
• Xu Xu, Associate Professor

Assistant Professors

• S Mohammad Hosseinian, Assistant Professor
• Jordan Kern, Assistant Professor
• Ben Rachunok, Assistant Professor
• Sara Shashaani, Assistant Professor
• Renran Tian, Assistant Professor

Associate Research Professor

• Christopher D. Rock, Associate Research Professor

Teaching Professor

• Corey Kiassat, Teaching Professor

Associate Teaching Professor

• Meagan Kittle Autry, Associate Teaching Professor
• S. Sebnem Ahiska King, Teaching Associate Professor
• Fred Livingston, Associate Teaching Professor
• Kanton Reynolds, Associate Teaching Professor

Teaching Assistant Professors

• Donnie Hale, Teaching Assistant Professor in Business Analytics
• Nur Ozaltin, Teaching Assistant Professor

Professor of the Practice

• Steven DelGrosso, Professor of the Practice
• Doug Morton, Professor of the Practice
• James Rispoli, Professor of the Practice

Emeritus Faculty

• Javad Taheri, Associate Research Professor Emeritus

Associate and Adjunct Faculty

• Edwin Addison, Adjunct Professor

Lecturers

• Rob Drew, Adjunct Lecturer
• Ken Gregory, Lecturer
• Dan Harris, Lecturer
• Dan Kempton, Adjunct Lecturer
• Robert Nunez, Lecturer

Courses

Business

• BUS 554: Project Management (3 credit hours)
  • Life cycle view of organizing and managing technical projects, including project selection, planning, and execution.
• BUS 590: Special Topics In Business Management (1-6 credit hours)
  • Presentation of material not normally available in regular courses offerings or offering of new courses on a trial basis.

Business Administration

• MBA 536: Experience Innovation and Strategic Design (3 credit hours)
  • Successful innovation involves creating more valuable experiences for users and customers.
• MBA 541: Supply Management (3 credit hours)
  • Major themes and strategies of supply management relationships.
• MBA 545: Decision Making under Uncertainty (3 credit hours)
  • Structured framework for modeling and analyzing business decisions in the presence of uncertainty and complex interactions among decision parameters.
• MBA 549: Supply Chain Management Practicum (3 credit hours)
  • Research project examining supply chain management issues at an organization.
• MBA 570: Opportunity Evaluation and Value Creation (3 credit hours)
  • First course in a two-course entrepreneurship sequence focusing on opportunities outside the technology arena.
• MBA 571: High Growth Entrepreneurship (3 credit hours)
  • Second course in a two-course entrepreneurship sequence focusing on opportunities outside the technology arena.
• MBA 572: Venture Opportunity Analytics (3 credit hours)
  • Application of the process-based model for new business startups to multiple clients.
• MBA 590: Special Topics In Business Management (1-6 credit hours)
  • Presentation of material not normally available in regular courses offerings or offering of new courses on a trial basis.

Civil Engineering

• CE 561: Construction Project Management (3 credit hours)
  • Construction project management and control using network-based tools, time-money analysis, and other quantitative and qualitative techniques.
• CE 564/CE 464: Legal Aspects of Contracting (3 credit hours)
  • Legal aspects of contract documents, drawings, and specifications.
• CE 565: Construction Safety Management (3 credit hours)
  • Fundamentals of safety management principles.
• CE 567: Risk and Financial Management in Construction (3 credit hours)
  • Fundamental concepts in financial and risk analysis in construction.
• CE 578/CE 478: Energy and Climate (3 credit hours)
  • Interdisciplinary analysis of energy technology, natural resources, and the impact on anthropogenic climate change.
• CE 590: Special Topics In Civil Engineering (1-6 credit hours)
  • New or special course on recent developments in some phase of civil engineering.
• CE 675: Civil Engineering Projects (1-6 credit hours)
  • Research- or design-oriented independent study and investigation of a specific civil engineering topic.
• CE 775: Modeling and Analysis Of Environmental Systems (3 credit hours)
  • Movement and fate of pollutant discharges.

Communications

• COM 527: Seminar in Organizational Conflict Management (3 credit hours)
  • Examination of conflict antecedents, interventions, outcomes through multiple texts, journal articles.
• COM 530: Interpersonal Communication in Science and Technology Organizations (3 credit hours)
  • Blends theory and research to understand and analyze interpersonal communication practices and issues within organizations.
• COM 556: Seminar In Organizational Communication (3 credit hours)
  • Theoretic and applied approaches for studying communication perspectives of organizational behavior.

Engineering

• EGR 501/EM 501: Engineering Leadership and Strategic Change (3 credit hours)
  • In the current business environment, an understanding of leadership and change management is essential to career success.
• EGR 505: Managerial Finance for Engineers (3 credit hours)
  • In the current business environment, familiarity with and appreciation of finance is essential to career success.
• EGR 506/EM 506: Managing New Hi Tech Product Launches (3 credit hours)
  • This course covers new high-tech product development and launch from the perspective of the technical manager responsible for developing and launching new products and new lines of business within the high-tech firm.
• EGR 507/EM 507: Product Life Cycle Management (3 credit hours)
  • This course covers the management of complex technical products during all phases of the product life cycle.
• EGR 508/EM 508: Managing New Product Creation (3 credit hours)
  • The purpose of this course is to cover the best practices and methods for creating and innovating new high-tech products.
• EGR 517/EM 517: Facilities Engineering Systems (3 credit hours)
  • This course covers the multi-disciplinary Facilities Engineering functions.
• EGR 518/EM 518: Environmental Compliance for Facilities Engineers (3 credit hours)
  • Facilities Engineering is the application of multidisciplinary engineering required to effectively manage the technical aspects of a portfolio of physical assets.
• EGR 530: Project Management (3 credit hours)
  • This project management course takes an expansive view of project management concepts, methods, processes, and tools.
• EGR 534/ISE 534: Artificial Intelligence for Engineering Managers (3 credit hours)
  • This course is designed for engineering managers to develop the skills necessary to manage AI and machine learning projects.
• EGR 538/ISE 538: Practical Machine Learning for Engineering Analytics (3 credit hours)
  • Machine learning has become integral to engineering analytics, significantly improving predictive capabilities and providing valuable insights from complex datasets.
• EGR 589: Special Topics in Engineering Management (1-6 credit hours)
  • New or special course on recent developments in some phase of engineering management using traditional course format.
• EGR 675: Engineering Management Masters Project (3-6 credit hours)
  • Individual or team project work with faculty mentorship in engineering management resulting in written report and oral presentation.
• EGR 677: Engineering Management Masters Project (3 credit hours)
  • Individual or team project work with faculty mentorship in engineering management resulting in written report and oral presentation.

Engineering Management

• EM 501/EGR 501: Engineering Leadership and Strategic Change (3 credit hours)
  • In the current business environment, an understanding of leadership and change management is essential to career success.
• EM 506/EGR 506: Managing New Hi Tech Product Launches (3 credit hours)
  • This course covers new high-tech product development and launch from the perspective of the technical manager responsible for developing and launching new products and new lines of business within the high-tech firm.
• EM 507/EGR 507: Product Life Cycle Management (3 credit hours)
  • This course covers the management of complex technical products during all phases of the product life cycle.
• EM 508/EGR 508: Managing New Product Creation (3 credit hours)
  • The purpose of this course is to cover the best practices and methods for creating and innovating new high-tech products.
• EM 517/EGR 517: Facilities Engineering Systems (3 credit hours)
  • This course covers the multi-disciplinary Facilities Engineering functions.
• EM 518/EGR 518: Environmental Compliance for Facilities Engineers (3 credit hours)
  • Facilities Engineering is the application of multidisciplinary engineering required to effectively manage the technical aspects of a portfolio of physical assets.
• EM 530: Project Management (3 credit hours)
  • This project management course takes an expansive view of project management concepts, methods, processes, and tools.
• EM 534/ISE 534: Artificial Intelligence for Engineering Managers (3 credit hours)
  • This course is designed for engineering managers to develop the skills necessary to manage AI and machine learning projects.
• EM 538/ISE 538: Practical Machine Learning for Engineering Analytics (3 credit hours)
  • Machine learning has become integral to engineering analytics, significantly improving predictive capabilities and providing valuable insights from complex datasets.
• EM 589: Special Topics in Engineering Management (1-6 credit hours)
  • New or special course on recent developments in some phase of engineering management using traditional course format.
• EM 675: Engineering Management Masters Project (3-6 credit hours)
  • Individual or team project work with faculty mentorship in engineering management resulting in written report and oral presentation.
• EM 677: Engineering Management Masters Project (3 credit hours)
  • Individual or team project work with faculty mentorship in engineering management resulting in written report and oral presentation.

Industrial and Systems Engineering / Operations Research

• ISE 501/OR 501: Introduction to Operations Research (3 credit hours)
  • The course aims to introduce the various types of operations research models and techniques.
• ISE 510: Applied Engineering Economy (3 credit hours)
  • Engineering economy analysis of alternative projects including tax and inflation aspects, sensitivity analysis, risk assessment, decision criteria.
• ISE 511/ISE 411/OR 425/OR 525: Supply Chain Economics and Decision Making (3 credit hours)
  • This course introduces students to the principles of microeconomic analysis applied to decision-making in supply chains.
• ISE 519: Database Applications in Industrial and Systems Engineering (3 credit hours)
  • Rapid applications development (RAD) tools to design and implement database-based applications.
• ISE 520: Healthcare Systems Performance Improvement I (3 credit hours)
  • Methods used to improve the performance of health care delivery systems with emphasis on patient care cost, access, and quality.
• ISE 521: Healthcare Systems Performance Improvement II (3 credit hours)
  • Continuation of ISE 520 with a concentration on the completion of a healthcare systems process improvement project.
• ISE 525/OR 425/OR 525/ISE 425: Medical Decision Making (3 credit hours)
  • This will focus on the use of optimization in Medicine.
• ISE 533/OR 433/OR 533/ISE 433: Service Systems Engineering (3 credit hours)
  • This course intends to provide a comprehensive treatment on the use of quantitative modeling for decision making and best practices in the service industries.
• ISE 535/ISE 435: Python Programming for Industrial & Systems Engineers (3 credit hours)
  • The objective of this course is to build on your knowledge of computing and data analysis by focusing on programming using the Python language.
• ISE 541: Occupational Safety Engineering (3 credit hours)
  • This course aims to equip students with a comprehensive understanding of workplace safety, emphasizing the importance of creating a safe and healthy environment for all workers.
• ISE 544: Occupational Biomechanics (3 credit hours)
  • Anatomical, physiological, and biomechanical bases of physical ergonomics.
• ISE 547/ISE 447: Applications of Data Science in Healthcare (3 credit hours)
  • Health professionals are capable of collecting massive amounts of data and look for best strategies to use this information.
• ISE 552: Design and Control of Production and Service Systems (3 credit hours)
  • Basic terminology and techniques for the control of production and service systems including economic order quantity models.
• ISE 553: Modeling and Analysis of Supply Chains (3 credit hours)
  • Basic issues in operating supply chains, using state of the art modeling tools available for their analysis.
• ISE 560/OR 560: Stochastic Models in Industrial Engineering (3 credit hours)
  • ISE/OR 560 will introduce mathematical modeling, analysis, and solution procedures applicable to uncertain (stochastic) production and service systems.
• ISE 562/TE 562/OR 562: Simulation Modeling (3 credit hours)
  • This course concentrates on design, construction, and use of discrete/continuous simulation object-based models employing the SIMIO software.
• ISE 677: Industrial Engineering Projects (1-6 credit hours)
  • Investigation and written report on assigned problems germane to industrial engineering.
• ISE 754: Logistics Engineering (3 credit hours)
  • Elements of logistics networks.

Statistics

• ST 513: Statistics for Management and Social Sciences I (3 credit hours)
  • This course introduces important ideas about collecting high-quality data and summarizing that data appropriately both numerically and graphically.
• ST 515: Experimental Statistics for Engineers I (3 credit hours)
  • An introduction to the foundations of probability theory and mathematical statistics useful for research in engineering.
• ST 516: Experimental Statistics For Engineers II (3 credit hours)
  • This course is intended to give students a background in the methods of statistical analysis and design of experiments that will assist them in conducting research and analyzing data in engineering.
• ST 517: Applied Statistical Methods I (3 credit hours)
  • Course covers basic methods for summarizing and describing data, accounting for variability in data, and techniques for inference.
• ST 518: Applied Statistical Methods II (3 credit hours)
  • This second course in statistics for graduate students is intended to further expand students' background in the statistical methods that will assist them in the analysis of data.

Integrated Manufacturing Systems

• IMS 675: Manufacturing Systems Engineering Project (1-6 credit hours)
  • Individual or team project work in integrated manufacturing systems engineering resulting in an engineering report.

Textile Engineering

• TE 533/TT 533/TTM 533: Lean Six Sigma Quality (3 credit hours)
  • Systematic approach (Lean Six Sigma philosophy) for improving products and processes.