Course Offerings

The Smart Manufacturing Enterprise Graduate Certificate is 100% online, which gives you the flexibility to complete the certificate from anywhere in the world, choosing times for class work and study that fit your lifestyle. This 13-14 credit-hour certificate can be completed in just three semesters. The length of the courses are 16 weeks each fall and spring and 12 weeks during the summer.

The graduate certificate consists of a series of 4 module-based courses, complemented with an independent employer based project. The Employer Based Project allows the student to integrate the topics from the various courses while completing all requirements remotely.

Course 1: Exploring the Applied Technologies

Course Description:

The core foundations of digital transformation in manufacturing for making all things digital, making all things smart, and making all things connected to drive business value. 

Learning Outcomes:

Upon completion of this course students will be able:

  • Describe the nine enabling technologies of Industry 4.0 and how this is transforming manufacturing
  • Describe how manufacturing is poised to see the biggest economic impact from Industrial IoT.
  • Explain how digital and data assisted systems in manufacturing is used for decision making and augmenting human capabilities in manufacturing.
  • Describe how information is acquired, exchanged, managed, and leveraged across manufacturing value chain.

Course 2: Business Processes and Digital Tools for Smart Manufacturing

Course Description: 

Explore the ways technical tools are intended to improve business processes. Various business processes will be explored and discussed including Configuration Management (CM), Product Lifecycle Management (PLM), Model Based Enterprise (MBE), Integrated Logistics Support (ILS), and Robotic Process Automation (RPA). 

Learning Outcomes:

Upon completion of this course students will be able:

  • Describe Industry 4.0 and implications for manufacturing.
  • Describe the Digital Enterprise including CM, PLM, MBE, ILS, and RPA.
  • Identify digital tools for Smart Manufacturing including PDM, MBD, ERP, SCM and MES.
  • Explain Digital Twin and its role in Smart Manufacturing.

Course 3: New Opportunities for Growth, Productivity, and Financial Performance

Course Description: 

The course will provide manufacturing professionals with foundational tools needed to conduct financial analysis for planning, implementing and assessing Industry 4.0 projects focused on the application of technology for the integration of the smart manufacturing enterprise.  

Learning Outcomes:

Upon completion of this course students will be able:

  • Be able to recognize and use key financial statements including income statements and balance sheets, statement of retained earnings and statement of cash flows.
  • Be able to draw a cash flow cycle (cash conversion cycle) in a typical business.
  • Know how to use common financial tools to your advantage: ratio analysis, common-sized (percentage) statements, pro-forma statements, and time value associated with money.
  • Be able to calculate a variety of financial ratios important in manufacturing productivity and asset management.
  • Calculate and interpret the strategic profit model.
  • Use data analysis for decision making in capital investment projects.
  • Identify the impact of the application of Industry 4.0 technologies on both the balance sheet and income statement of the organization
  • Be able to evaluate and select the best option from among a choice of corporate investment opportunities using capital budgeting.

Course 4: Organizational Behavior and Leadership in the Digital Enterprise

Course Description: 

This course will provide an overview of organizational behavior and leadership concepts important for implementing change within a smart manufacturing enterprise. Implementing smart manufacturing techniques requires an effective understanding of organizational behavior and leadership skills required for the new digital enterprise. This knowledge of individuals’ perceptions, attitudes, and behavior enables leaders to choose appropriate leadership styles and managerial practices to increase organizational effectiveness and positive human outcomes.

Learning Outcomes:

Upon completion of this course students will be able:

  • Critique the opportunities and challenges related to organizational behavior resulting from implementing smart manufacturing and Industry 4.0.
  • Apply organizational behavior theories, frameworks, principles and tactics to prevent and respond to organizational behavior problems driven by employing smart manufacturing related changes.
  • Evaluate an understanding of one's own leadership style and create a plan to improve their own personal leadership skills.