Technology and Innovation Acceleration Program
offered by MIT University

Private University
168 acre campus
Estd. 1861

Technology and Innovation Acceleration Program
at
MIT University
Overview

Understands how the components of a system interact with each other, identifies interdependencies, solves more problems

Duration	6 months
Total fee	₹6.39 Lakh
Mode of learning	Online
Course Level	UG Certificate

Technology and Innovation Acceleration Program
at
MIT University
Highlights

Earn a certificate of completion from MIT xPRO
Get Live sessions with MIT professors
Get an access to cutting-edge technologies and concepts from MIT

Technology and Innovation Acceleration Program
at
MIT University
Course details

Who should do this course?

For mid- and senior-level managers
For heads of functional departments and business leaders
For senior technology leaders
For consultants

What are the course deliverables?

Apply systems thinking and architecture to analyze complex systems or processes, create new models and make decisions strategically
Explore emerging technologies and their business applications, such as artificial intelligence, augmented reality, virtual reality, and quantum computing
Explore emerging technologies and their business applications, such as artificial intelligence, augmented reality, virtual reality, and quantum computing
Align organizational strategy with products and teams
Create and reinforce a culture of innovation within the organization through advanced leadership strategies

More about this course

The skills required of leaders to achieve extraordinary performance have changed radically
Just as technology and business have joined forces to co-create value, technology and leadership have conspired to demand a new kind of leader

Technology and Innovation Acceleration Program
at
MIT University
Curriculum

Module 1: Introduction to critical thinking

Module 2 : critical thinking in context

Module 3: Structured decision processes

Module 4: Fundamentals of systems thinking

Module 5: Supply chain and computational approach to systems thinking

Module 6: Modern system architecture

Technology and Innovation Acceleration Program
at
MIT University
Faculty details

Duane Boning

Boning's research focuses on modeling and control of variation in manufacturing, including IC, photonics, and MEMS processes, devices, and circuits. Her interests include statistical and machine learning methods for design and manufacturing in advanced technologies.

Deborah Ancona

Ancona's pioneering research into the functioning of successful teams has highlighted the critical importance of managing both outside and within team boundaries. Ancona's work also focuses on the concept of distributed leadership and the development of research-based tools, practices, and teaching/training models that enable organizations to foster creative leadership at all levels.

Edward Crawley

Crawley's research focuses on the design of complex systems, and he is the author of System Architecture. He is a member of the AIAA and the NAE, as well as the national academies of the UK, Sweden, Russia and China.

Oliver De Weck

De Weck's research focuses on how complex man-made systems - such as airplanes, spacecraft, cars, printers and critical infrastructure - are designed and how they evolve over time. His main interest is in strategic properties that have the potential to maximize life cycle value.