Digital Twins
High-fidelity simulation environments for testing, validation, and chaos engineering of industrial systems.
The Fourth Industrial Revolution
Industry 4.0
Industry 4.0 is the integration of advanced digital technologies — the Internet of Things (IoT), artificial intelligence, machine learning, big data analytics, robotics, and manufacturing process control — into traditional industrial processes. These technologies enable smart, interconnected factories and production systems that communicate, analyze, and make data-driven decisions autonomously, driving greater efficiency, productivity, and competitiveness in the global market.
How Our Lab Connects
Industry 4.0 isn't a single project — it's the thread that runs through everything we do.
Smart Mfg & CNC
GCode interception, sensor-rich machining, and custom tooling fabrication on in-house equipment.
Optimization
Production scheduling, multi-agent coordination, and genetic ML algorithms for process control.
Vision & QC
Computer vision for real-time defect detection, dimensional measurement, and robotic pick-and-place.
Data & IIoT
End-to-end sensor data pipelines, SCADA integration, and real-time operational dashboards.
Cyber-Physical
Resilient edge architectures, testbed orchestration, and secure operation under degraded connectivity.
Industry 4.0 By The Numbers
$ 226B
Current Global Market
30%
Average OEE Boost
97M
New Jobs By 2030
Graduate Certificate in Industry 4.0
Build the skills to lead in the age of smart manufacturing and digital transformation.
12 Credits
Four graduate-level courses forming a focused, stackable credential.
Fully Online Option
Complete the certificate entirely online — designed for working professionals.
Career-Ready
Practical tools and industry-aligned knowledge you can apply immediately.
Who It's For
Designed for Professionals Across Industries
- Engineers — Enhance understanding of advanced manufacturing, robotics, and automation.
- Data Analysts & Data Scientists — Leverage I4.0 concepts for data-driven operational optimization.
- Supply Chain & Logistics Managers — Integrate IoT and automation into supply chain systems.
- IT Professionals — Support digital transformation and address cybersecurity in OT environments.
- Project & Product Managers — Lead technology-driven product development and project management.
Learning
What You'll Learn
Gain hands-on knowledge and insight into the technologies reshaping modern industry:
- Systems Integration & Control — Bridge the gap between IT and OT systems in manufacturing environments.
- Cyber-Physical Systems — Integrate computation, networking, and physical processes in modern production.
- Industrial Internet of Things (IIoT) — Harness sensor data and connected devices to optimize performance.
- Smart Manufacturing & Robotics — Learn the role of automation, AI, and robotics in industrial systems.
- Data Analytics for Industry — Use real-time data to drive decisions and continuous improvement.
Curriculum
Four Courses. One Powerful Credential.
Topics include cyber-physical systems, IIoT, data analytics and visualization, machine learning and AI in industry, smart manufacturing processes, sensors and SCADA systems, and digital supply chain management. Students also work through real-world case studies and industry projects.
- ISE 571 — Industry 4.0 Fundamentals
- ISE 572 — Machine Learning for Industry 4.0
- ISE 573 — Manufacturing Execution Systems
- ISE 575 — Industry 4.0 Special Projects
Courses may be taken individually or as part of the certificate sequence. See the University Academic Catalog for prerequisites and enrollment details.