Massachusetts Institute of Technology (MIT) Multiple locations
Boston , Massachusetts , United States
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Featured byMIT Professional Education
Overview
What you will study
Through interactive lectures and exercises—grounded in data and examples from the automotive, semiconductor, food production, nanofabrication, and telecommunications sectors—you will acquire core strategies and frameworks for using data driven analysis, simulation, automation, and optimization techniques to improve manufacturing processes and deploy IIoT systems. You will then put your learning into action by working with other course participants to design, simulate, and test system improvements based on information extracted from process and production data.
The learning objectives of the Advanced Data Analytics For IIOT and Smart Manufacturing course offered by Massachusetts Institute of Technology (MIT) are:
- Develop a data collection strategy for industrial networks, including non-traditional IoT data streams and cloud-based data storage
- Visualize, analyze, and predict relevant production outcomes based on process data
- Create and use digital twins of factory processes
- Simulate and optimize factory processes using data analytics, predictive modeling, and digital twins
Programme Structure
The program focuses on:
- Data collection strategies for IIoT
- Data analytics
- Predictive modeling for production data
- Simulation modeling through digital twinning
- Process and manufacturing systems simulation and optimization
Key information
Duration
- Full-time
- 4 days
Start dates & application deadlines
- Starting
- Apply before
-
Language
English
Credits
2 alternative credits
Delivered
On Campus
Disciplines
Production and Manufacturing Engineering Data Analytics View 192 other Short Courses in Data Analytics in United StatesWhat students do after studying Computer Science & IT
This information is based on LinkedIn alumni data for graduates from 2018 to 2024 and may not fully represent all career outcomes
Total alumni
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
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Other requirements
General requirements
- Engineers and engineering managers who want to implement the latest digital strategies to maximize the value of their operations
- Design and manufacturing engineers or machine and process designers seeking to enhance their ability to capitalize on data and modeling in a manufacturing environment
- Data scientists looking to take the lead in the rapidly growing field of smart manufacturing
- Factory, production, or process managers who want to use advanced tools to design and deploy integrated, computational systems on the factory floor
- Directors of operations or manufacturing who would benefit from implementing data analytics tools as part of a continuous improvement strategy
- Consultants who are interested in increasing their value to clients in the manufacturing industry
Tuition Fee
To always see correct tuition fees
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International
3900 USD/fullTuition FeeBased on the tuition of 3900 USD for the full programme during 4 days. -
National
3900 USD/fullTuition FeeBased on the tuition of 3900 USD for the full programme during 4 days.
Living costs for Boston
1560 - 3239 USD /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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