COVID-19 STATEMENT: While this virus is impacting everyone differently, this online program is continuing as planned.
Please consider joining our global online classroom for an enriching and interactive experience to further your career.


July 16, 2020


8 weeks, online
excluding orientation
6-8 hours per week


July 16, 2020


8 weeks, online excluding orientation
6-8 hours per week

Note: This online program requires no prerequisites in terms of math or computational sciences, although some experience with introductory-level statistics is helpful.

Who is this Program for

Participants will gain a practical understanding of the tools and techniques used in machine learning applications. In the MIT tradition, you will learn by doing. There are no prerequisites in terms of math or computational science, although basic understanding of statistics is helpful. This is not a coding course, but rather an introduction to the many ways that machine learning tools and techniques can help make better decisions in a variety of situations.

Representative Companies

Participants include representatives from companies like:

  • GlaxoSmithKline
  • Goldman Sachs
  • Citibank
  • Oracle Corporation
  • McKinsey & Company
  • World Bank Group
  • Microsoft
  • Amazon
  • Johnson & Johnson
  • Accenture
  • Bank of America
  • Ford
  • Mastercard
  • The Walt Disney Company
  • Morgan Stanley
  • Facebook Inc.
  • PepsiCo
  • Walmart

Participants by Job Function

Representative job functions and titles include:

  • CEOs and Managing Directors
  • EVPs of Technical Solutions
  • Senior Delivery Managers
  • CIOs and Chief Data Officers
  • Business Intelligence Managers
  • Program Managers
  • Directors of Digital Solutions
  • Data and Analytics Managers
  • Solution Architects
  • Directors of Innovation
  • Heads of Analytics
  • Data Scientists

Participant Profile

On your journey to learning MIT Professional Education's Machine Learning: From Data to Decisions online program, you’ll be in good company. Past participants come from a wide range of industries, job functions, and management levels.

  • IT Services
  • Banking & Financial Services
  • Healthcare
  • IT Products
  • Consulting
  • Education
  • Energy
  • Retail
  • Others*

Others* - includes Advertising, Agriculture, Civil Construction, Ecommerce, Electronics and Hardware, Fast Moving Consumer Goods, Human Resources Service Provider, Industrial Goods, Media, Real Estate, Telecommunications, Tourism /Hotels /Restaurant, Transport-Logistic and more.

  • 1-5 yrs
  • 6-10 yrs
  • 11-15 yrs
  • 16-20 yrs
  • 21-25 yrs
  • >26 yrs

Participant Testimonials

Your Learning Journey

This online program takes a look at machine learning through a lens of practical applications. It is designed specifically for professionals who want to develop a competitive edge by turning what is unknown into what’s known—leading to better decisions and outcomes.

Machine Learning: Building Blocks

Machine Learning: Building Blocks

Program Modules

  • Module 1: Introduction and Overview of Machine Learning
  • Module 2: Understanding Your Data
  • Module 3: Prediction Part 1 – Regression
  • Module 4: Prediction Part 2 – Classification
  • Module 5: Prediction Part 3 – Neural Networks
  • Module 6: Decision Making Foundations
  • Module 7: Decision Making Applications
  • Module 8: Causal Inference

What You’ll Learn

Machine learning is a collection of models, methods, and algorithms to help make better decisions that are driven by data, not gut feelings or guesswork. The tools and techniques in this machine learning program can help to address many common challenges. Learn with examples from:

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Devavrat Shah
Professor, Department of Electrical Engineering and Computer Science
Director of Statistics and Data Science Center
Massachusetts Institute of Technology

Devavrat Shah is a professor with the department of electrical engineering and computer science at MIT. He is a member of the Laboratory for Information and Decision Systems (LIDS) and Operations Research Center (ORC), and the Director of the newly formed Statistics and Data Center in Institute for Data, Systems, and Society. His research focus is on theory of large complex networks, which includes network algorithms,
stochastic networks... More info


Machine Learning: From Data to Decisions-Certificate


Get recognized! Upon successful completion of the program, MIT Professional Education grants a certificate of completion to participants. This program is scored as a pass or no-pass; participants must receive 80 percent to pass and obtain the certificate of completion.

Participants will be awarded 6.4 continuing education units towards professional development.


Note: After successful completion of the program, your verified digital certificate of completion will be E-mailed to you 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 Professional Education.

Still Have Questions?


Early registrations are encouraged. Seats fill up quickly!

Flexible payment options available. Click here to learn more.

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