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What is MET²?

The Mechanical & Manufacturing Technologies for Energy & Sustainability (MET²) Program better prepares community college and university mechanical and manufacturing engineering and technology students with technical, professional, and entrepreneurial skills required to meet today's workforce demands.

 

The advantage of the MET² Program is that it prepares students to learn critical thinking and relevant technical skills, including:

Mold/Pattern making

Composite and Smart Fabrics

Arduino - Electronic Circuitry

Blue Print Reading

CAD  - SolidWorks

Manufacturing Processes

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The MET² Program also prepares students to enter the workforce with necessary professional and entrepreneurial skills, including:

Business Modeling

Strategic/Project Planning & Management

Teambuilding

Leadership

Behavioral Diversity (DISC)

Emotional Intelligence

Networking

Intellectual Property

 

Established academic partnerships with industry, medical hospitals, and government entities provide genuine, real-world challenges/problems to fuel projects explored by self-managed Program teams of students. Program teams are inter-institutional and interdisciplinary to capitalize on the synergy between the theoretical knowledge of university students and faculty (10 Connecticut universities), complemented by the requisite hands-on technical skills of community college students and faculty (Connecticut State Community College). Program teams will meet and conduct research culminating in a professional-level final report and presentation.

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OUR VISION.

 

The MET² Program aims to provide and believes in the ability of education to change the future, to move the planet towards a world of progress, harmony and wisdom. A good education leads to the creation of a fully developed individual: mature, knowledgeable, strong and kind.

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© 2024 Mechanical Engineering Technology & Manufacturing Engineering Technologies (MET²) Program. All rights reserved.

 

The Mechanical Engineering Technology & Manufacturing Engineering Technologies (MET²) is supported by the NSF ATE Program Grant, award number 1400610. Any opinions, findings, and conclusions or recommendations expressed are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

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