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START
DURATION
HOURS OF EFFORT
MIT CEU’s
LANGUAGE
FORMAT
PRICE
APPLICATION FEE
*
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.
76%
The effects of the pandemic drove 76% of businesses to strategize long-term changes in their IT.
Source: Cyberstates
72%
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: 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.
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 /
MIT Professional Education ecosystem
Exclusive access to networkings events, live – online sessions with speakers, company visits and international MIT Alumni network.
Career Development
You’ll participate in sessions with a career advancement coach who will guide you towards your goals and prepare you for new and exciting challenges.
Digital Pathway Access
You’ll have access to a gallery of webinars on all topics and in many languages, as well as be invited to attend upcoming live webinars and stay up to date with fourth industrial revolution trends.
Admission Process
To be considered as an eligible candidate, please proceed with the following steps:
Application
Round 1
Deadline: .
Fee: .
Fee: .
Round 2
Deadline: .
Fee: .
Fee: .
Round 3
Deadline: .
Fee: .
Fee: .
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:
1.
Find out how to conduct business in a multicultural environment
2.
Quantity technology progress over time using relevant figures of merit .
3.
Map technologies to a product / service and set realistic figures of merit-based targets.
4.
Shape the R&D strategy and portfolio of an organization based on a set of technology roadmap and effective R&D execution.
5.
Comprehend the system dynamics modeling approach to model technical innovation.
6.
Anticipate and prepare for the technological evolution.
7.
Understand the globality of data and master the 4 steps for implementing machine learning plans.
8.
Learn the characteristics of datasets and become familiar with how to use effective statistical tools to identify and clarify data.
9.
Obtain an overview of the theory and practice of new technologies that lead to digital transformation.
10.
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: 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
David Niño is a senior lecturer on the Daniel J. Riccio Graduate Engineering Leadership Program at MIT. Previously, he was a professor in the practice of engineering leadership at Rice University. During this tenure, he led the creation of the first four-year certificate in engineering leadership and was director of Leadership Rice, the university’s leadership development program.
A former professor of management, Dr. Niño has published works on leadership, ethics, corporate culture, and the development of professional management skills. He has conducted research in cutting-edge technology environments and is currently interested in researching how leadership develops among engineers and in engineering organizations. Dr. Niño has taught leadership since 1998 at the undergraduate, master’s, doctoral, and executive/professional levels.
He is currently a founding officer of the Leadership Development Division of the American Society for Engineering Education and advises professionals and executives on leadership and development issues.
He holds a PhD in management from the University of Texas, Austin, where he also studied for his Bachelor of Arts, Bachelor of Business Administration, and Master of Arts.
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.
Devavrat Shah is Andrew (1956) and Erna Viterbi Professor with the department of Electrical Engineering and Computer Science at MIT. He is the founding director of Statistics and Data Science Center, Institute for Data, Systems and Society. He is a member of LIDS, CSAIL and ORC at MIT. Currently, he directs 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 development of “gossip” protocols and “message-passing” algorithms for statistical inference which have been pillars of modern distributed data processing systems.
He co-founded Celect, Inc. which has been part of Nike since 2019. In 2019, he co-founded Ikigai Labs with the mission of building self-driving organizations by empowering data business operators to make data-driven decisions with ease of spreadsheets.
His work has been covered in popular press including NY Times, Forbes, and Wired, and has received broad recognition, including prize paper awards in Machine Learning, Operations Research and Computer Science, and career prizes including the 2010 Erlang prize from the INFORMS Applied Probability Society.
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.
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.
