Automation for Digital Transformation

Take your productivity to the next level

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Course Dates

STARTS ON

March 2, 2022

Course Duration

DURATION

6 weeks
4–6 hours per week

Course Duration

PROGRAM FEE

US$2,600 US$2,210

Course Information Flexible payment available

Invest in Yourself in 2022

This new year, MIT Schwarzman College of Computing in collaboration with Emeritus is offering 15% tuition assistance on this online program to set you up for professional success. Enroll before January 25, 2022, 04:00 PM PST to get this benefit.

Application Details

Round 1

US$2,210 / program fee

Application Deadline
1

Key Takeaways

For senior business leaders, functional managers, and automation engineers who want to leverage automation to make their organizations more competitive, this program provides a foundational understanding of how AI and automation can improve efficiency and effectiveness across your organization.

In this program you will:

  • Identify when, where, and why advanced automation can optimize processes, support your workforce, and create value.
  • Examine specific examples of how AI and automation are transforming organizations across multiple industries with technologies including dialog systems, intelligent robotics, drones, and other autonomous agents.
  • Learn how these technologies are evolving and their impact on the future of work.
  • Strategize how these technologies can create value in your organization and develop a roadmap for their implementation.

Schedule a call with one of our academic advisors.
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Program Curriculum

Widely recognized as a world leader in AI and Automation, MIT’s curriculum offers a rigorous exploration of the capabilities and applications of automation technologies in both the physical and cognitive fields spanning a range of industries. To learn more about the program schedule a call with one of our academic advisors.

Learning Experience

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Live Q&A Session with MIT Faculty

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Recorded Video Lectures

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Discussion Groups

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Application Exercises

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Office Hours with Subject Matter Experts for Added Support

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Peer Networking Opportunities

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Continuous Program Access for Up to 12 Months

Analysis of Real-World Companies

Student Demographics

Work Experience

  • <5 years – 12%
  • 5-14 years – 23%
  • 15-19 years – 21%
  • 20+ years – 44%


Geography

  • North America – 65%
  • South America – 16%
  • Europe – 12%
  • Asia – 7%


Job Function

  • IT Management & Engineering - 35%
  • Consulting – 19%
  • Research and Development – 14%
  • Manufacturing and Operations – 12%
  • Executive Management – 9%

Schedule a call with one of our academic advisors.
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Faculty

Profile picture of course faculty Sertac Karaman

Sertac Karaman

Faculty Lead

Sertac Karaman is the Director of the Laboratory for Information and Decision Systems, Associate Director in the Institute for Data, Systems, and Society, and Associate Professor of Aeronautics and Astronautics at MIT. His research interests lie in the broad area of embedded systems and mobile robotics... More info

Profile picture of course faculty Daniela Rus

Daniela Rus

Faculty Lead

Daniela Rus is the Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science, Director of the Computer Science and Artificial Intelligence Laboratory at MIT, and Deputy Dean of Research in the Schwarzman College of Computing at MIT... More info

Profile picture of course faculty David Autor

David Autor

Instructor

David Autor is Ford Professor in the MIT Department of Economics, codirector of the NBER Labor Studies Program, and coleader of both the MIT Work of the Future Task Force and the JPAL Work of the Future experimental initiative. His scholarship explores the labor-market impacts of technological change and globalization on job polarization... More info

Profile picture of course faculty Jim Glass

Jim Glass

Instructor

James Glass is a Senior Research Scientist at MIT where he leads the Spoken Language Systems Group in the Computer Science and Artificial Intelligence Laboratory. He is also a member of the Harvard-MIT Health Sciences and Technology Faculty. His research focuses on automatic speech recognition, unsupervised speech processing... More info

Profile picture of course faculty Julie Shah

Julie Shah

Instructor

Julie Shah is associate dean of Social and Ethical Responsibilities of Computing at MIT, a Professor of Aeronautics and Astronautics, and director of the Interactive Robotics Group, which aims to imagine the future of work by designing collaborative robot teammates that enhance human capability... More info

Certificate

Certificate

Get recognized! Upon completion of the program, MIT Schwarzman College of Computing grants a certificate to successful participants.

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Early registrations are encouraged. Seats fill up quickly!

Flexible payment options available. Learn more.