Manufacturing Curriculum

Manufacturing Curriculum Information:

30 total credit hours, at least 24 credits at the 500 level, and at least 24 graded. At most, 6 credit-hours at the 400-level may be applied towards the degree. Minimum GPA 3.0/4.0 required for graduation. Complete all of the courses on the approved Plan of Study within five years from the date of first enrollment in the program. No more than 6 credit hours can be transferred from another institution. 

The Master of Engineering (MEng) in Manufacturing Engineering is, on average, completed in 1 year and 4 months on a full-time basis, but could be completed in 1 to 2 years. Part-time students on average complete the degree in 3 years but are allowed up to 5 years.

Integrative Science (9-12 Credits)

Required Course (3 Credits)
Course Offerings (3-6 Credits)
  • Global Engineering Leadership
  • Innovation & Entrepreneurship
  • Integrative Thinking
  • Model-Based Systems & Design
  • Socio-Technology

Career Pathways (9 Credits)

Course Offerings
  • Additive Manufacturing
  • Digital Manufacturing
  • Manufacturing Automation
  • Production Systems and Quality Engineering
  • Smart Manufacturing

Program Core (6 Credits)

Course Offerings
  • Automation and Process Control
  • Computational Methods and Simulation
  • Industrial Data Analytics
  • Supply Chain and Product Lifecycle Management
  • Sustainable Manufacturing & Circular Economy

Immersive Practice (3-6 Credits)

Course Offerings
  • MFG 503 for one or two semesters, 3 credits per semester

TOTAL CREDITS: 30

* Please Note: ISD cannot guarantee these courses are available every academic year or every term; these lists are updated on an on-going basis.

Integrative Science

(9-12 Credits)

Innovation and Entrepreneurship

Innovation and entrepreneurship drive today’s engineering world. Fueling this growth from global corporations to small businesses and national governments to local governments is a need to build sustainable products, services, and technologies. In this field, you will integrate concepts of innovation and entrepreneurship with engineering, science, and design in pursuit of opportunities to innovate solutions to highly complex problems. Here, you will learn how to be the next industry “true innovators” in strengthening market uptake of raw materials solutions and building a bigger platform for a greener future

Key Competencies:

  • Knowledge of market forces
  • Financial insight (understanding numbers)
  • Strategic thinking
  • Negotiation
  • Persuasion
  • Ability to influence
  • Creativity
  • Business planning and integration

Relevant Course Information:

Model-Based Systems Engineering and Design

Solving complex problems requires deeper levels of systems understanding. Modeling helps designers/engineers work at greater levels of complexity to support system requirements, design, analysis, verification and validation activities beginning in the conceptual design phase and continuing throughout development and later life cycle phases. In this field, you will strengthen your ability to create and implement models to support every stage of the engineering and design process as well as drive learning for modeling, analyzing, and solving complex problems.

Key Competencies:

  • Modeling complex systems
  • Optimization
  • Data analytics
  • Behavioral models
  • Business/Dynamic modeling
  • Qualitative models
  • Digital twins development
  • Evaluate data quality

Relevant Course Information:

Integrative Thinking

Integrative thinking requires seeing problems from multiple viewpoints, taking them all into consideration, and searching for creative solutions through a transformative approach. It  requires shifting the focus to the vulnerabilities and capacities of single systems or sectors to interconnected systems and how these will shift over time, taking into account multidirectional interactions of projected changes, responses, and effects. This leads to understanding how to compose a holistic view of a problem, co-construct new knowledge, explore alternative views and methods of problem analysis, and synthesize them into a coherent solution. In this field, you will discover how to integrate across multiple boundaries for the greater good.

Key Competencies:

  • Broad technical, business, management, and education experience
  • Ability to construct and correlate models that are abstractions of interactions and to evaluate data against the model
  • “Big picture” thinking
  • Understanding, at least at the top level, what knowledge domains are relevant and prioritizing their importance

Relevant Course Information:

Global Engineering Leadership

Engineering leaders are needed to strategically think and act globally based on an integration of academic excellence in engineering and business, experience in a variety of settings and environments, and the ability to lead across cultures and within organizations of varied sizes. In this field, you will strengthen your ability to develop engineering and business practices, develop cross-cultural leadership competencies, learn how to work within a global community, and lead with purpose, strategy, and vision in the development of sustainable global products, services, and processes for the common good.

Key Competencies:

  • Ability to scope and identify unique challenges of global engineering projects:
    • Global regulatory issues
    • Internationally-recognized engineering and manufacturing quality norms
    • Managing technology and legal contracts
    • Global Supply Chain Issues/Outsourcing/ Offshoring/
    • Re-positioning of Corporations and Subcontractors
    • Risk Management
    • Cross-cultural decision making
    • Understanding consequences/impact of decisions
  • Provide tools for taking corrective actions (within context of “real-world” global problems)
  • International Cultural Competency
  • Multicultural team management and global team leadership

Relevant Course Information:

  • MECHENG 589 Sustainable Design of Technology Systems
  • MFG 440 (IOE 440) Operations Analysis and Management
  • MFG 455 (IOE 452) Corporate Finance
  • MFG 501 Topics in Global Operations
  • MFG 587 (MECHENG 587) Global Manufacturing
  • MFG 605 (TO 605) Manufacturing and Supply Operations (Tauber Students Only)
  • MO 600 The Science of Success: Who Succeeds, Who Doesn’t, and Why
  • MO 617 Developing and Managing High Performing Teams
  • STRAT 373/738 Topics in Global Sustainable Enterprise

Socio-Technology

Engineers are needed to design within social, political, economic, and cultural contexts. In this field, you will design things that participate in complex systems that have both social and technical aspects, study the intersection of society and technology as a grouping of social engineering and management science and learn how to develop new technologies to meet challenges in energy, environment, food, housing, water, transportation, safety, and health. You will also learn the societal impact of engineering and design decisions at the intersection of science and technology. 

Key Competencies:

  • Socially engaged decision making
  • Operational understanding of the impact of technology on society, world, environment (vice versa)
  • Global awareness

Relevant Course Information:

Program Core

(6 Credits)

Computational Methods and Simulation

The use of Computational Methods and Simulation software for analysis and optimal design of manufacturing processes and products with the basic understanding of material properties. This is used at the design stage for verifying a design of products and manufacturing processes under various operating conditions (e.g. working load and environmental stress) that products/processes will experience in the field. The computer simulations are used to replace physical prototype tests, which can shorten the development cycle, reduce the verification testing cost, and increase manufacturing  quality and products reliability. In this field, you will learn 3D geometric modeling, physics-based computational simulation software, mathematical optimization, and uncertainty quantifications.

Key Competencies:

  • Computer Aided Design and Engineering
  • Finite Element Analysis and Simulation
  • Computational Fluid Dynamics Simulation
  • Design Optimization and Verification
  • Uncertainty Quantification and Computer Model Calibration

Relevant Course Information:

Automation and Process Control

The design and plan of production facility and processes with the integration of automation equipment (AGV, PLC, Robotics, etc.) process control, and computer simulations. A process control system aims to ensure manufacturing processes to be consistently operating at the targeted performance with only natural variation. In this field, you will learn how automation and process control improves safety, reduces overhead costs and unplanned downtime, benefits from increased production quality and capacity, increases process visibility, and improves facility planning and execution.

Key Competencies:

  • Industrial control software (CNC, AGV, PLC)
  • Data analytics and computer simulations
  • Human robot interaction

Relevant Course Information:

Supply Chain and Product Lifecycle Management

Supply chain operations and product lifecycle management directly impact product quality, manufacturing cost, and the overall profitability of a company. In this field, you will learn how manufacturing industries make decisions for turning raw materials into finished products that involve active streamlining of a business’s supply-side activities to maximize customer value and gain a competitive advantage in the marketplace. This will include supply chain management, optimization, and system integration.

Key Competencies:

  • Enterprise resource planning (ERP) software
  • Math modeling and software for material requirements planning (MRP), logistics and supply chain
  • Optimization algorithms
  • System integration with economics and accounting

Relevant Course Information:

Industrial Data Analytics

Industrial data analytics involve the construction of explanatory and predictive models from various industrial data such as experimental tests, computer simulations, distributed sensor measurements and system operational data. In this field, you will learn how to use advanced analytics techniques, powered by machine learning and artificial intelligence, to make a data-driven optimal decision for smart manufacturing like optimal design, predictive maintenance, root cause analysis, and in-process quality control.

Key Competencies:

  • Computer model calibration and uncertainty quantification (UQ)
  • Machine learning methods
  • Fusion of physics-based and data-driven models
  • Data-analysis skills and visualization software

Relevant Course Information:

Sustainable Manufacturing & Circular Economy

Manufacturing is one of significant sources of pollution resulting in numerous environmental impacts such as climate change. Sustainable manufacturing and the circular economy provides a framework for reducing pollutants from the whole product lifecycle, including manufacturing operations, products recycling, and supply chain management. In this field, you will learn how to quantify the uncertainties cross lifecycle environmental impacts, to make improved design, manufacturing, and supply chain decisions for environmental sustainability, and to evaluate potential tradeoffs and co-benefits with other manufacturing performance metrics such as speed and cost.

Key Competencies:

  • Life cycle assessment and material flow analysis
  • Thermodynamics (e.g., exergy analysis) and the destruction of natural resources
  • Fundamentals of renewable energy
  • Environmentally motivated material and process selection
  • Design for recycling and for using recycled feed stocks
  • Lifecycle economic and environmental evaluation of key manufacturing processes
  • Recycling system analysis and reverse supply chains
  • Design and manufacturing for material efficiency

Relevant Course Information:

Career Pathways

(9 credits)

Additive Manufacturing

Additive manufacturing like 3D printing is an emerging manufacturing process with the advantages of saving on material waste and energy, a low prototyping cost, a faster development cycle for a small production run products. In this field, you will learn the design and development of 3D products through the use of computational digital design tools and 3D printing equipment as well as the assessment of product life cycle on business benefits. You will also learn the knowledge about design and verification, materials fundamentals, monitoring, diagnostics and control, topology, topology optimization, and generative design as well as the fundamental principles of material science and additive manufacturing workflow and processes.  

Key Competencies:

  • Design and verification for additive manufacturing
  • Lifecycle economic and environmental evaluation for additive manufacturing
  • Materials fundamentals for additive manufacturing
  • Monitoring, diagnostics and control for additive manufacturing
  • Understanding additive manufacturing workflow and processes

Relevant Course Information:

Manufacturing Automation

Manufacturing automation refers to the use of technologies such as equipment and software to automate production processes. In this field, you will learn how to design and plan production facility and processes with the integration of automation equipment and computer simulations, AI-driven intelligent decisions for manufacturing automation, automated guided vehicle, industrial robotics, programmable logic controller, and warehouse automation systems.

Key Competencies:

  • AI-driven intelligent decisions for manufacturing automation 
  • Automated guided vehicle
  • Industrial robotics
  • Programmable logic controller
  • Warehouse automation systems

Relevant Course Information:

Digital Manufacturing

Digital manufacturing is the use of an integrated, computer-based system comprised of simulation, 3D visualization, analytics and collaboration tools to create product and manufacturing process definitions simultaneously. In this field, you will gain an understanding of and appreciation for the role that technology is playing in this digital manufacturing transformation. You will also learn the fundamental knowledge and the use of computer simulations to integrate product design with the design and plan of manufacturing facility, production systems, process operations. You will get to know how this makes manufacturing industry more responsive and competitive to dynamic market demands.

Key Competencies:

  • Digital design software
  • Fundamental knowledge of manufacturing processes 
  • Process modeling and computational simulation software 
  • Product lifecycle management and manufacturing sustainability
  • IoT Technologies

Relevant Course Information:

Production Systems and Quality Engineering

Production Systems and Quality Engineering includes the plan and operation of production systems and processes to ensure production throughput and products quality, reduce the manufacturing cost, and improve customer satisfaction. In this field, you will learn about data analytics and stochastic optimization, discrete event simulations, experimental design and statistical process control, modeling and control of production systems, reliability analysis and optimal maintenance decision-making, value chain analysis and quality management, production systems scheduling.

Key Competencies:

  • Data analytics and stochastic optimization
  • Discrete event simulations 
  • Experimental design and statistical process control
  • Modeling and control of production systems 
  • Reliability analysis and optimal maintenance 
  • Value chain analysis and quality management

Relevant Course Information:

Smart Manufacturing

As more companies worldwide are racing to offer more smart products and adopt automation, IIOT and cloud computing, artificial intelligence, and robotics, the manufacturing industry is transforming to Smart Manufacturing, which responds in real time to meet changing demands and conditions in the smart factory, the supply network, and customer needs. In this field, you will learn how to use emerging technologies, such as advanced sensors, digital-twin, 3D visualization and industrial robots, to improve manufacturing design, production systems operation, process control, equipment maintenance, human-machine interaction, and operational safety, which is enabled by IoT for connected factories and advanced data analytics for smart decision making.

Key Competencies:

  • Fundamental knowledge of smart manufacturing  
  • Industry 4.0 and Enabling Technologies (IIOT, cloud services, mobile devices,)
  • Computer Simulations
  • Data Analytics and Machine Learning for Manufacturing Process Control
  • PLC (Programmable Logic Controller); AGV (Automated Guided Vehicle); Industrial Robotics, AR (Augmented Reality) and VR (Virtual Reality)

Relevant Course Information:

Immersive Practice

(3-6 credits)

ISD Capstone

Work for leading industry partners to apply what you learn during your ISD coursework in a semester- or year-long project to contribute new ideas and knowledge to high priority engineering and technical issues. Learn more about this component of the ISD Curriculum on the ISD Capstone page.

Take up to 3 academic credits per semester for up to two semesters.