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Chief Technology Officer

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Chief Technology Officer

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Why is a CTO integral to the quality of your organization?

The unceasing acceleration of technological change makes it critical for companies and organizations to always stay one step ahead of technology trends and have the ability to anticipate disruptions before they become imminent. That’s where the role of a CTO becomes integral to your business.

The phenomenon of the Fourth Technological Revolution makes the role and responsibilities of a CTO inherent in all contemporary companies. The CTO encourages employees to have a forward-thinking mindset about how certain technologies could strengthen a company’s position in the marketplace and stay ahead of its competitors. Therefore, a CTO that succeeds today must continue to push forwards and be aware of other companies that experiment with new technologies as well.


The effects of the pandemic drove 76% of businesses to strategize long-term changes in their IT.

Source: Cyberstates


72% of business executives believe artificial intelligence is going to be a business advantage to them in the future.

Source: Anna Djurovic, GoRemotely

$15.7 trillion

Artificial intelligence is projected to add $15.7 trillion to the global economy by 2030.

Source: Anna Djurovic, GoRemotely

Blended Professional Certificate Program: Chief Technology Officer

High-quality projections indicate massive technological shifts on the horizon. Significant changes are already occurring in our present-day architecture. The implications of blockchain, Internet of Things (IoT), Artificial Intelligence (AI), and other novel technologies are giving way to new understandings and new standards of performance. In order for top-level organizations to thrive, they need elite and experienced professionals to push systems forward, proactively embracing innovation to drive culture, management, infrastructure, and profits.


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The Learning Journey

In this 12-month program, participants will explore these five courses that will equip you with the tools and frameworks to lead the technological strategy.

1. Leadership and Innovation

With this program, participants will learn to lead by coming to know themselves better, harnessing their own creativity, and building teams and organizations through the culture of innovation.

2. Management of Technology: Roadmapping and Development

Walk the path of technology through its history, its different tools and methods, its fundamental limits, and the theory and empirical evidence for technology evolution over time.

3. Management of Technology: Strategy and Portfolio Analysis

Expand on your knowledge of technology management and learn to elaborate an organizational technology portfolio based on multiple technology roadmaps.

4. Machine Learning: From Data to Decisions

A program that guides professionals through the fundamentals and applications of machine learning, trains them in analyzing and understanding data, and ultimately prepares them to master confident data-driven decision making within their organizations.

5. Cloud & DevOps: Continuous Transformation

This online program that delves further into the technological transformation currently underway, with a practical approach and applicable to different industries and sectors.

6. Impact project

The Impact Project is a transversal project that will be carried out throughout the Blended Professional Certificate. Participants will work in teams on a series of assignments that will culminate in a final presentation on the MIT Campus.

Participants will be given a choice of two tracks for this project:

1. Work on a project with an industry challenge provided by the learning facilitator.
2. Work on a project (industry challenge) chosen by the group and approved by the learning facilitator.

Learning Objectives

1. Develop individual reflections on the theoretical and practical concepts covered throughout the certificate courses
2. Apply knowledge acquired in courses to real-life industry cases
3. Integrate and connect ideas from each course, resulting in transversal knowledge acquisition
4. Build a community of practice in small groups, proposing concrete solutions to complex industry problems

Premium Access to the MIT Professional Education Ecosystem

You will have exclusive access to networking events, live online sessions with guest speakers, company visits, and the international MIT Alumni network.

Career Development

You will participate in sessions with a career advancement coach who will guide you toward your goals and prepare you for new and exciting challenges.

Digital Pathway Access

You will have access to a gallery of webinars in multiple languages on a wide variety of relevant topics. Additionally, you will be invited to attend upcoming live webinars.

Application Process

To be considered as an eligible candidate, please proceed with the following steps: 


Complete the application form and pay the non-refundable fee

Receive a call for an interview with our admissions team

Our Admission Advisors will inform the final decision. (2 business days max)

Your place in the course will be confirmed, and you will receive a welcome email with the next steps


Round 1
Deadline: .
Fee: .
Round 2
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Round 3
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What is included in the fee?

  • The program fee includes teaching fees, access to online coursework, and transportation to the different activities taking place during the face-to-face events.
  • The program fee does not include accommodations for the in-campus weeks, travel expenses (domestic, international, visa fee, and more), and other expenses not specifically mentioned in the fees.

Key Takeaways

Throughout this professional program, you will:


Find out how to conduct business in a multicultural environment


Quantity technology progress over time using relevant figures of merit .


Map technologies to a product / service and set realistic figures of merit-based targets.


Shape the R&D strategy and portfolio of an organization based on a set of technology roadmap and effective R&D execution.


Comprehend the system dynamics modeling approach to model technical innovation.


Anticipate and prepare for the technological evolution.


Understand the globality of data and master the 4 steps for implementing machine learning plans.


Learn the characteristics of datasets and become familiar with how to use effective statistical tools to identify and clarify data.


Obtain an overview of the theory and practice of new technologies that lead to digital transformation.


Develop a vision about how to apply technologies to organizations and to your professional career.

In addition, you will receive a Certificate of Completion

All the participants who successfully complete Chief Technology Officer will recieve a Certificate of Completion from MIT Professional Education. Furthermore, the participants who complete the program recieve 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.

This Blended Professional Certificate Program: Chief Technology Officer is designed for

  • Leaders of technological departments or projects who need to understand the evolution of technology and the optimal technology management for their organizations.
  • Current and aspiring C-suite executives from Digital, IT, Marketing and Strategy responsible to setting up the corporate and product strategy.
  • Senior consultants and entrepreneurs that need to understand the role of technology in the company´s growth and portfolio.
  • Senior executives looking for innovating and leveraging technology.

Participants are required to have:

  • A minimum of ten years of experience working in a managerial position
  • At least 3 years of experience managing projects related to technology, innovation, or business development
  • International experience is appreciated

Meet the instructors of this program

Listed in alphabetical order 
Faculty David Niño

Dr. David Niño

"Leaders learn to find important problems but define them in such a way that allows a team to come together to solve them".

David Niño is a Senior Lecturer in MIT’s Daniel J. Riccio Graduate Program in Engineering Leadership. He had served in this role since 2015 when he launched this program to provide academic leadership education for MIT graduate students in engineering and other disciplines. Under his leadership, the program has grown from one graduate class to a variety of highly-rated academic courses and workshops that educate over 200 graduate students annually. David received a School of Engineering “Infinite Mile Award” for his work in establishing this program, which received a $10 million gift of support in 2022.
David consults with technology executives on topics related to developing leadership among engineers, researchers, and other technical experts. He has published on organizational culture, ethics, engineering leadership, and developing management and leadership skills. David holds a Ph.D. in Management from the University of Texas at Austin, where he earned his B.A., B.B.A., and M.A. degrees. He lives in Weston, Massachusetts, with his wife and three children.

Dr. Abel Sanchez

"Five technologies are redefining both the way we make our products and the types of opportunities that exist in the marketplace".

Dr. Sanchez is the architect of the global network “The Internet of Things” and data analysis platforms for SAP, Ford, Johnson & Johnson, Accenture, Shell, Exxon Mobil and Altria. In cyber security, he has developed cyber-attack impact analyses for the U.S. Department of Defense and a password firewall for the IARPA.

Dr. Abel Sanchez holds a PhD from the Massachusetts Institute of Technology (MIT) and teaches MIT courses in cyber security, engineering, blockchain and data science. He has been involved in developing educational software for Microsoft and establishing the Accenture Technology Academy. He has produced over 150 educational videos, has 10 years of experience with learning management systems and has made deployments in the Americas, Asia and Europe.


Prof. Devavrat Shah

“When it comes to moving from data to decisions in our companies, Machine Learning can help us”

Devavrat Shah is an Andrew (1956) and Erna Viterbi Professor of the Department of Electrical Engineering and Computer Science at MIT and the faculty director of the MicroMasters in Statistics and Data Science program with the MIT Institute for Data, Systems, and Society. He also is a member of the Laboratory for Information and Decision Systems (LIDS) and the Operations Research Center (ORC) at MIT. He currently directs the Deshpande Center for Technological Innovation at MIT.

His current research interest is in developing large-scale machine learning algorithms for unstructured data, with particular interest in social data. He has made contributions to the development of “gossip” protocols and “message-passing” algorithms for statistical inference that have been pillars of modern distributed data processing systems.

He cofounded Celect, Inc., which has been part of Nike since 2019. In 2019, he cofounded Ikigai Labs with the mission of building self-driving organizations by empowering data business operators to make data-driven decisions with the ease of spreadsheets.

His work has been covered in popular press including The New York Times, Forbes, and Wired, and he has written several award-winning papers in machine learning, operations research, and computer science. He has also been awarded the 2010 Erlang prize from the INFORMS Applied Probability Society.


Prof. Olivier de Weck

"The design of platforms and product families is aimed at achieving long-term success and survival of companies".

De Weck is a leader in systems engineering research. His focus is on how complex human-made systems such as aircraft, spacecraft, automobiles, printers, and critical infrastructures are designed and how they evolve over time. His main emphasis is on strategic properties that have the potential to maximize lifecycle value and minimize planned obsolescence.

Since 2001, de Weck’s group has developed original quantitative methods and tools that explicitly consider manufacturability, flexibility, commonality, and sustainability, among other characteristics. De Weck’s teaching emphasizes excellence, innovation, and the irrefutable bridge between theory and practice.

  • De Weck holds a degree in industrial engineering from ETH Zurich and an M.S. in aeronautics and astronautics from MIT.
  • He earned his Ph.D. in aerospace systems from MIT.
  • De Weck was an engineering program manager on the F/A-18 aircraft program at McDonnell Douglas.

Prof. John R. Williams

"Once you climb that first mountain of knowledge, you will be able to teach yourself many things".

Professor John R. Williams’ research focuses on the development and application of computing algorithms in distributed cyberphysical systems. He was director of the Auto-ID Laboratory, where the Internet of Things was invented. He is considered, along with Bill Gates and Larry Ellison, one of the 50 most powerful people in “Computer Networks”.

He is author and coauthor of more than 250 articles in journals and conferences. Professor Williams teaches courses on the basics of programming, modern software development, the architecture of web, cloud and blockchain systems. In addition, he holds a BSc in Physics from Oxford University, an MSc in Physics from UCLA, and a PhD from the University of Swansea.

Are you ready to lead the technological strategy?

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