PROFESSIONAL CERTIFICATE PROGRAM IN
Leverage IoT to evolve production processes and provide smart solutions
As an overarching theme throughout the program, participants will learn the principles of how to manage technologies for maximum impact & how to optimize production processes within their organizations for greater efficiency. Our Professional Certificate has been tailored to focus on the technologies that are most applicable in the industry today.
Become part of the MIT community and increase your networking opportunities with other Alumni.
Develop your Impact Project by collaboratively designing a business solution that addresses a real-world challenge, applying the tools and strategies gained throughout the program.
Live online immersive sessions with MIT Faculty and subject matter expert speakers.
Certificate Award Ceremony at MIT's campus in Cambridge, Massachusetts.
This Professional Certificate Program in Industry 4.0 is designed for:
Plant managers and Product managers.
Product line strategists, platform architects, R&D engineers, and systems engineers in industrial and government contexts.
Design and manufacturing engineers seeking to learn about data and modeling in a manufacturing environment.
Data scientists looking to apply their craft to the growing field of Smart Manufacturing.
Consultants who want to add value around the latest technology transformations in manufacturing.
Functional and cross-functional teams are encouraged to attend the program together to acquire an in-depth knowledge of the technologies that are shaping the 4th industrial revolution.
Director of the MIT Master of Engineering in Advanced Manufacturing and Design. Associate Director, MIT.nano
Director, System Architecture Group at MIT
Professor of Aeronautics and Astronautics and Engineering Systems, MIT
Senior Lecturer in the Daniel J. Riccio Graduate Engineering Leadership Program at MIT
Executive Director of MIT’s Geospatial Data Center, Research Scientist; Center for Complex Engineering Systems, Sociotechnical Systems Research Center, under the Schwarzman School of Computer Science
Professor of Mechanical Engineering and Industrial Engineering
Professor of Information Engineering, Civil and Environmental Engineering and Director of MIT Geospatial Data Center, and a faculty member in the Center for Computational Science and Engineering part of the Schwarzman School of Computer Science
John E. Burchard Professor of Humanities and Co-chair of the Gender Equity Committee of the School of Humanities, Arts & Social Sciences - MIT | Coordinating Instructor
Professor in the Department of Electrical Engineering and Computer Science at MIT
Professor, Institute for Data, Systems, and Society, MIT
Evolution of industry
Smart manufacturing trends
Machine innovation and machine vision
Advanced data analysis (FrED)
Behind the IoT+ theory
Tools for product family
All the participants who successfully complete their program will receive an MIT Professional Education Certificate of Completion, as well as Continuing Education Units (CEUs)*.
To obtain CEUs, complete the accreditation confirmation, which is available at the end of the course. CEUs are calculated for each course based on the number of learning hours.
*The Continuing Education Unit (CEU) is defined as 10 contact hours of ongoing learning to indicate the amount of time they have devoted to a non-credit/non-degree professional development program.
To understand whether or not these CEUs may be applied toward professional certification, licensing requirements, or other required training or continuing education hours, please consult your training department or licensing authority directly.
Complete the application form and pay the non-refundable fee.
Our program advisors will evaluate your application.
Await the decision from our program advisors. If accepted, you'll be able to complete your enrollment.
If you receive an offer of admission, you’ll have 72 hours to pay the enrollment fee and reserve your place.
Starts on