Comprehensive curriculum to help

Master industry-valued skills

Designed by MIT faculty, the curriculum covers Data Science and ML skills needed to create business impact

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Python

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Machine Learning

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Deep Learning

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Recommendation Systems

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Neural Networks

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Predictive Analytics

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Now includes self-paced modules on ChatGPT and Generative AI

50+

Case studies

3

Hands-On projects

Designed for
Working Professionals
like you

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Video lectures by MIT Faculty

Recorded by the very best, for you to learn at your own pace

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Weekly online mentorship by experts

Get assistance on projects and reinforce concepts through weekly sessions

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Dedicated program support

Get access to a dedicated program manager to help you with queries

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Build an industry-ready portfolio

Demonstrate your ability to extract business insights from data by working on 3 hands-on projects & 50+ case studies

Our Alumni Experience

Being an online program, you get all the benefits of the flexible study and instant access to the rich resources through the advanced learning platform.

The instructors & coordinators were amazing and always cleared my doubts. I am already using unsupervised Machine Learning algorithms in my robotics projects.

My exposure to the Data Science & ML Program was exceptional. The professors were phenomenal and supported us with mentoring sessions and online video educational sessions.

I have taken several programs, but the experience from this program is so different from multi-dimensional perspectives. I would highly recommend this program.

I really enjoyed Neural Network and Deep Learning, whereas recommendation systems and Predictive Analytics was challenging and exciting at the same time.

This is a great addition to my career in behavioral economics in Health Promotion & Nutrition Sciences. I recommend this program to anyone looking to integrate Data Science & ML into their field of study.

Learn advanced Data Science & ML skills from

World-renowned MIT faculty

  • Munther Dahleh

    Munther Dahleh

    Program Faculty Director

    MIT Institute for Data, Systems and Society (IDSS)

  • John N. Tsitsiklis

    John N. Tsitsiklis

    Clarence J. Lebel Professor

    Dept. of Electrical Engineering & Computer Science (EECS) at MIT

  • Ankur Moitra

    Ankur Moitra

    Rockwell International Career Development Associate Professor

    Mathematics and IDSS, MIT

  • Caroline Uhler

    Caroline Uhler

    Henry L. & Grace Doherty Associate Professor

    EECS and IDSS, MIT

  • David Gamarnik

    David Gamarnik

    Nanyang Technological University Professor

    Operations Research, Sloan School of Management and IDSS, MIT

  • Guy Bresler

    Guy Bresler

    Associate Professor

    EECS and IDSS, MIT

  • Jonathan Kelner

    Jonathan Kelner

    Professor

    Mathematics, MIT

  • Kalyan Veeramachaneni

    Kalyan Veeramachaneni

    Principal Research Scientist

    Laboratory for Information and Decision Systems, MIT

  • Philippe Rigollet

    Philippe Rigollet

    Professor

    Mathematics and IDSS, MIT

  • Stefanie Jegelka

    Stefanie Jegelka

    X-Consortium Career Development Associate Professor

    EECS and IDSS, MIT

  • Tamara Broderick

    Tamara Broderick

    Associate Professor

    EECS and IDSS, MIT

  • Victor Chernozhukov

    Victor Chernozhukov

    Professor

    Economics and IDSS, MIT

Fuel your Career transition with

Dedicated career support

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Get your Resume & Linkedin profile reviewed by experts

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Showcase your skills with an industry-ready e-portfolio

In collaboration with

MIT IDSS' Data Science and Machine Learning: Making Data-Driven Decisions Program is delivered in collaboration with Great Learning. Great Learning is a professional learning company with a global footprint in 170+ countries. It's mission is to make professionals around the globe proficient and future-ready. Great Learning collaborates with MIT IDSS and provides industry experts, student counsellors, course support and guidance to ensure students get hands-on training and live personalized mentorship on the application of concepts taught by the MIT IDSS faculty. Accessibility.

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4.7

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Rated by worldwide learners

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Start your learning journey

Experience the program with the preview curated by esteemed MIT faculty