Graduate Certificate in Engineering Management Analytics | NC State University

Man looking at a wall of Analytics after receiving his Master' of Engineering Management from NC State University

Certificate in Engineering Management Analytics

Last Updated: 11/22/2023 and all information on this page is accurate and up-to-date

The Engineering Management Analytics Certificate is a graduate program that will help advance your career as you look to take on more responsibility or move into a management role. The program provides you with the principles and foundational concepts of analytics and the application to planning, management, and/or decision-making for industrial and technical organizational pursuits. The certificate is available on-campus and online through our Engineering Online Program.

This certificate provides an option to meet the demand for the key concepts and provide a graduate certificate for those unsure about committing to an entire master’s degree program. By design, successful certificate completion would also cover 40 percent of the MEM degree. Further, the certificate curriculum intentionally requires little to no prerequisites, making you highly marketable.

If you decide to transfer courses into a master’s degree program, like MEM, you should consult the Director of the Graduate Certificate Program (DGCP) regarding specific requirements. Also, note that NC State requires a B or higher grade to transfer into a master’s degree program per the Graduate Student Handbook (Section 3.1.D). 


CERTIFICATE: AnalyticsCredits
CORE Courses
ISE 501 Intro to Operations Research (required) 13
Take one course
ST 515 Experimental Statistics for Engineers I3
ST 516 Experimental Statistics for Engineers II3
ST 517 Applied Statistical Methods I 13
ST 518 Applied Statistical Methods II 23
CORE Subtotal6
Take two courses
CE 537 Computer Methods and Applications3
EM 589 Practical Machine Learning for Engineering Analytics3
EM 589 Artificial Intelligence for Engineering Managers 23
ISE 519 Database Applications in Industrial and Systems Engineering 13
ISE 535 Python Programming for Industrial and Systems Engineers 13
ISE 537 Statistical Models for Systems Analytics in Industrial Engineering3
ISE 547 Applications of Data Science in Healthcare3
ISE 560 Stochastic Models in Industrial Engineering 13
MBA 545 Decision Making under Uncertainty 13
OR 504 Introduction to Mathematical Programming3
OR 506 Algorithmic Methods in Nonlinear Programming3
ST 554 Analysis of Big Data 23
ST 555 Statistical Programming I 13
ST 556 Statistical Programming II 23
ST 558 Data Science for Statisticians 23
ST 563 Introduction to Statistical Learning 23

1 Course taught both on-campus and online.

2 Course offered online only.

Admission Requirements

Application to the program requires:

  • An online application form
  • Transcripts of all academic work after high school
  • A written personal statement

Admission will be competitive, and the GRE is not required. Your academic success might have a strong bearing on admission, but completing a certificate program never guarantees entry into a graduate degree program. You should have a STEM or other relevant bachelor’s degree.

Certificate Learning Outcomes

Upon completion of the graduate certificate program, students will be able to:

  • Show an understanding of critical concepts for engineering leadership, organizational communication and communication techniques for working with various stakeholders 
  • Understand and apply basic financial concepts to analyze alternatives for projects of multiple lengths and cash flows 
  • Apply conceptional, analytical and practical tools to plan and manage a project with various stakeholders 
  • Identify quantitative tools and analytical methods available for solving multiple problems
  • Effectively communicate quantitative information to technical and non-technical audiences