The benefit of learning together with your friend is that you keep each other accountable and have meaningful discussions about what you're learning.

Courtlyn
Promotion and Events SpecialistOur participants tell us that taking this program together with their colleagues helps to share common language and accelerate impact.
We hope you find the same. Special pricing is available for groups.
The benefit of learning together with your friend is that you keep each other accountable and have meaningful discussions about what you're learning.
Courtlyn
Promotion and Events SpecialistBased on the information you provided, your team is eligible for a special discount, for Technology and Innovation Acceleration Program starting on April 27, 2023 .
We’ve sent you an email with enrollment next steps. If you’re ready to enroll now, click the button below.
Have questions? Email us at group-enrollments@emeritus.org.Manage both people and technology with excellence.
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Just as technology and business have joined forces to co-create value, technology and leadership have conspired to require a new kind of leader. The skills required of leaders to achieve breakout performance have shifted—dramatically. Now is the time to step out of your comfort zone and prepare for the next frontier.
In order to support technology professionals on this journey, more than 15 MIT faculty have distilled their expertise on key technology accelerators, along with principles of organizational strategy and leadership, into the six-month Technology and Innovation Acceleration Program online.
Being a future-ready leader is about managing both technology and people with excellence. That’s the MIT way.
Pillar 1: Critical thinking
Analyze the evidence, consider alternate solutions, solve complex problems
Pillar 2: System thinking
Understand how the components of a system interact with each other, identify interdependencies, solve more problems
Pillar 3: Creating value through emerging technologies
Evaluate what technologies can solve your problems and pay off
Pillar 4: Radical innovation
Establish the ground rules for exponential growth
Pillar 5: Organizational strategy
Identify how technology impacts your organizational structure and strategy
Pillar 6: Leadership
Mobilize the people and resources needed to achieve breakthrough performance
Every industry is prone to disruption. This program is ideal for individuals who are seeking to be on the leading edge of technology innovation while also applying organizational strategies to bolster success. Representative roles include:
Over the course of six months, you will examine the range of capabilities, from critical thinking to emerging technology to managing technology and innovation, to help you lead with excellence.
Get introduced to the concept of critical thinking and meta-cognition, the processes used to plan, monitor, and assess one's own understanding. Learn to implement critical thinking for solving complex problems by analyzing alternative solutions critically and identifying types of evidence for or against the alternative solutions.
Receive an introduction to the concept of information literacy and various research techniques to help you form conclusions. Assess the strength of evidence and relate evidence to different social and technical factors.
Practice group decision-making processes that focus on convergence and gathering information by using the Pugh Matrix and the Evaluation Matrix. Learn how MIT’s D-Lab applies these matrices into their research to develop and advance practical solutions to global poverty challenges.
Understand the elements of system thinking through a diverse set of self-assessment activities and learning scenarios. Apply these concepts to a personal activity system and a professional activity system of your choice.
Learn how system thinking is applied to a diverse array of applications, including logistics, transportation systems, and computational systems.
Describe the architecture of a system and identify both architectural decisions and non-architectural decisions. Identify the various elements in architecture representations and place these in the context of the overall documentation of the system.
Learn to construct a DSM, either by analyzing the design or by converting a graph of the system. Construct a process architecture DSM and identify how it is different from a design DSM.
Understand the process of tradespace exploration by defining value, a key metric by which designs are compared. Develop a model of value by characterizing a design using attributes and organize these attributes into hierarchies for evaluation and summation.
Get acquainted with the stages involved in the design process for AI-based products and services with a focus on cost metrics and technical requirements of an AI software development plan.
Identify various machine learning algorithms and study the different approaches, such as Bayesian and regression models. Learn about unsupervised and semi-supervised methods of machine learning algorithms. Run and analyze the results from various machine learning algorithms.
Building on the knowledge of machine learning fundamentals gained in module 10, explore the basics of deep learning. Topics include neural networks, artificial neurons, and simulation of complex networks.
Identify superhuman intelligence used in an AI product. Compare and contrast the advantages and disadvantages of using an AI technology.
Discover immersive media, including augmented reality, and virtual reality. Learn to differentiate the unique elements of AR, VR, and mixed reality and learn about the software and hardware requirements of each.
Understand the applications of AR/VR in diverse fields such as medicine, military, and education. Learn about AI-enhanced augmented reality and drive innovation using AR/VR powered solutions. Analyze the impact of 5G on AR/VR experience and the long-term impact of COVID-19 on remote and virtual experiences.
Learn about the core concept of quantum computing, its origin, and how it is different from other forms of computing. Compare and contrast classical computers (desktops, laptops, tablets, cloud servers, etc.) with quantum computers. Learn about the timeline for quantum computing and explore the types of problems that are a challenge for classical computers, but can be efficiently solved on a quantum computer.
Get an introduction to radical innovation, a concept that is diametrically opposed to incremental innovation. Learn the core features of technical innovation in the modern world and the philosophy and strategies needed in an organization to execute various forms of innovation.
Understand the factors that pose a threat to innovation, both internal and external. Explore concepts such as super technologies, business model innovation, and developing your innovation pipeline.
Understand the most important elements of how to innovate. Explore different methodologies such as Lean and Agile for executing innovation, and learn about testing, rapid prototyping, and design to lead innovation within your organization.
Recognize the key elements of strategy, the precursors to strategy, and the influence of strategy on products. Analyze the impact of technological changes on organizational strategy and apply strategic thinking for gaining competitive advantage.
Learn how to create, staff, and mobilize the people and resources needed to effectively launch new project teams and improve existing ones. Examine strategies for managing three main types of group conflict: task-related conflict, relational conflict, and process conflict.
Explore different strategies to increase effectiveness and to build teams in a productive way. Learn to architect an effective organization that supports teams and teams' success. Implement post-mortems to capture lessons learned and build future capability in teamwork.
Get introduced to organizational networks and learn about the different categories of networks like social network, closed network, and open network. Identify the key players, their roles, and importance while leading change within an organization.
Get introduced to the concept of critical thinking and meta-cognition, the processes used to plan, monitor, and assess one's own understanding. Learn to implement critical thinking for solving complex problems by analyzing alternative solutions critically and identifying types of evidence for or against the alternative solutions.
Identify superhuman intelligence used in an AI product. Compare and contrast the advantages and disadvantages of using an AI technology.
Receive an introduction to the concept of information literacy and various research techniques to help you form conclusions. Assess the strength of evidence and relate evidence to different social and technical factors.
Discover immersive media, including augmented reality, and virtual reality. Learn to differentiate the unique elements of AR, VR, and mixed reality and learn about the software and hardware requirements of each.
Practice group decision-making processes that focus on convergence and gathering information by using the Pugh Matrix and the Evaluation Matrix. Learn how MIT’s D-Lab applies these matrices into their research to develop and advance practical solutions to global poverty challenges.
Understand the applications of AR/VR in diverse fields such as medicine, military, and education. Learn about AI-enhanced augmented reality and drive innovation using AR/VR powered solutions. Analyze the impact of 5G on AR/VR experience and the long-term impact of COVID-19 on remote and virtual experiences.
Understand the elements of system thinking through a diverse set of self-assessment activities and learning scenarios. Apply these concepts to a personal activity system and a professional activity system of your choice.
Learn about the core concept of quantum computing, its origin, and how it is different from other forms of computing. Compare and contrast classical computers (desktops, laptops, tablets, cloud servers, etc.) with quantum computers. Learn about the timeline for quantum computing and explore the types of problems that are a challenge for classical computers, but can be efficiently solved on a quantum computer.
Learn how system thinking is applied to a diverse array of applications, including logistics, transportation systems, and computational systems.
Get an introduction to radical innovation, a concept that is diametrically opposed to incremental innovation. Learn the core features of technical innovation in the modern world and the philosophy and strategies needed in an organization to execute various forms of innovation.
Describe the architecture of a system and identify both architectural decisions and non-architectural decisions. Identify the various elements in architecture representations and place these in the context of the overall documentation of the system.
Understand the factors that pose a threat to innovation, both internal and external. Explore concepts such as super technologies, business model innovation, and developing your innovation pipeline.
Learn to construct a DSM, either by analyzing the design or by converting a graph of the system. Construct a process architecture DSM and identify how it is different from a design DSM.
Understand the most important elements of how to innovate. Explore different methodologies such as Lean and Agile for executing innovation, and learn about testing, rapid prototyping, and design to lead innovation within your organization.
Understand the process of tradespace exploration by defining value, a key metric by which designs are compared. Develop a model of value by characterizing a design using attributes and organize these attributes into hierarchies for evaluation and summation.
Recognize the key elements of strategy, the precursors to strategy, and the influence of strategy on products. Analyze the impact of technological changes on organizational strategy and apply strategic thinking for gaining competitive advantage.
Get acquainted with the stages involved in the design process for AI-based products and services with a focus on cost metrics and technical requirements of an AI software development plan.
Learn how to create, staff, and mobilize the people and resources needed to effectively launch new project teams and improve existing ones. Examine strategies for managing three main types of group conflict: task-related conflict, relational conflict, and process conflict.
Identify various machine learning algorithms and study the different approaches, such as Bayesian and regression models. Learn about unsupervised and semi-supervised methods of machine learning algorithms. Run and analyze the results from various machine learning algorithms.
Explore different strategies to increase effectiveness and to build teams in a productive way. Learn to architect an effective organization that supports teams and teams' success. Implement post-mortems to capture lessons learned and build future capability in teamwork.
Building on the knowledge of machine learning fundamentals gained in module 10, explore the basics of deep learning. Topics include neural networks, artificial neurons, and simulation of complex networks.
Get introduced to organizational networks and learn about the different categories of networks like social network, closed network, and open network. Identify the key players, their roles, and importance while leading change within an organization.
Live sessions with MIT faculty
Individualized feedback on assignments
Weekly live office hours with Q&A (learning facilitator led)
Access to cutting-edge technologies and concepts from MIT
Application of learning through a final capstone project
Earn a certificate and 10 Continuing Education Units (CEUs) from MIT xPRO
For many in developing countries, personal computers are out of reach. MIT D-Lab is collaborating with partners to develop a platform that uses a household’s existing smartphone or television to offer at-home computing solutions. Examine the strategic decisions made along the development journey.
Were sticky pedals and floor mats to blame for the "unintended acceleration" issues on many Toyota vehicles, or was it a problem with the sensors or software? Peer into the investigation and explore how critical thinking and decision-making were used and abused.
Take a system-thinking tour of how making a custom robot is made possible by compiling parts from a database. Examine each of the computation-driven steps in the process of fabricating a robot—so easy, anyone can have a personal robot.
With countless decisions to be made and competing priorities, how does a team organize a mission to the moon? Examine the decision-making process that the Apollo team used, distinguishing between the architectural decisions that needed to be made first and those decisions that could be made downstream.
We offer flexible and transparent payment options through our partners Sallie Mae and Ascent Funding.
US Residents (Deferred payment option available)
Rest of the World
Get recognized! Upon successful completion of this program, MIT xPRO grants a certificate of completion to participants and 10 Continuing Education Units (CEUs). This program is graded as a pass or fail; participants must receive 75% to pass and obtain the certificate of completion.
Download BrochureAfter successful completion of the program, your verified digital certificate will be emailed to you, at no additional cost, in the name you used when registering for the program. All certificate images are for illustrative purposes only and may be subject to change at the discretion of MIT.
Flexible payment options available.