Post Graduate Program in Data Science and AI

Harness the power of AI and data with MIT’s world-class faculty

  • Learn from the #1 QS world ranked school
  • Gain insights from top MIT faculty
  • Earn a certificate from MIT xPRO and 36 CEUs
  • Engage in weekly live sessions with industry experts for real-world application
Work Experience

Round Application Deadline

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Why is this program one of a kind?

Program Highlights 100- weekly recorded lectures

Learn at your own pace with pre-recorded video lectures* by MIT faculty

Program Highlights Weekly live sessions

Engage in weekly live sessions led by top data science and AI experts for deeper insights and real-world perspectives

Program Highlights Career services

Reinforce your learning with mini projects and assignments throughout the program

Program Highlights Virtual labs

Access Virtual Labs with 25+ leading data science tools and libraries

Program Highlights Capstone Project

Showcase your proficiency in solving real-world problems through a 2-week Capstone Project

Program Highlights Certificate of Completion

Earn a Certificate of Completion from MIT xPRO & 36 Continuing Education Units (CEUs)

Note: *100% recorded weekly lectures by MIT faculty. Some weeks are primarily application-focused and do not have faculty recorded lectures and will only have live hands-on sessions by industry experts *

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Tailored to meet your skill needs

This program is designed for professionals who are looking to pivot to a high-impact career in data science or expand their existing outlook towards an AI-powered future in advanced analytics. Specifically, this program is ideal for:

  • Data Analysts and Business Analysts:

Looking to transition into data science roles or enhance their analytical skill

  • Tech Professionals:

Aiming to apply data science techniques to solve real-world problems

Note: Basic knowledge of math, excel dataset usage and exposure to programming concepts is required. The program is also open to learners with no prior programming experience (but additional efforts may be required).

Getting you industry ready, the MIT way.

Learning Outcomes data strategy

Leverage data to optimize processes and enhance decision-making

Learning Outcomes machine learning models

Use Python and Google Colab to train, run, and analyze datasets and models effectively

Learning Outcomes business insights

Translate technical results into actionable business insights for executive decision-making

Learning Outcomes modeling tools

Build a portfolio using regression, deep learning, NLP, and more to solve real-world problems

Learning Outcomes Artificial Intelligence

Apply AI to extract insights and stay current with the latest in AI and ML

A curriculum that goes beyond traditional learning

The MIT xPRO offers a rigorous, application-focused curriculum that blends academic excellence with real-world relevance. Designed by expert faculty and industry leaders, the program provides a powerful combination of theoretical foundations and hands-on practice to help you build end-to-end solutions that address real business challenges.

Access 25+ tools and libraries

Note:

Tools & libraries are subject to change as per the discretion of MIT xPRO or Emeritus.

All products and company names are trademarks or registered trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.

Analyze Real-World Case Studies

Case Studies Retail Management

Retail Management

Analyze how a Boston, MA retailer handled its response to the Covid-19 pandemic using the systems approach.

Case Studies Filatoi Riuniti

Filatoi Riuniti

Solve an optimization problem by developing a model and making recommendations on how this Italian yarn manufacturer should outsource production in order to maximize profits.

Case Studies Facial Analysis Algorithms

Facial Analysis Algorithms

Examine the ramifications of poorly designed models and discover how to detect, diagnose, and mitigate biases that can arise in model-based, data-driven decision making.

Case Studies BlueBike

BlueBikes

See how BlueBikes used regression to predict demand. Then build your own models with regression and use R² to pick the

Turn practice into perfection through projects

Apply your learnings to mini projects and assignments:

Mini Assignments Predictive Model
Prediction model with XGBoost

Construct an XGBoost model to predict diabetes in a patient, using various diagnostic variables and a diabetes dataset

Mini Assignments Neural Network
Heart Rate Modeling with Neural Networks

Utilize TensorFlow and Keras to create a neural network for a novel dataset focusing on heart rate

Mini Assignments Filtering Model
Develop a Music Recommendation System

Develop a collaborative filtering model for a music recommendation system/data set

Mini Assignments Image Classification
Image classification with Transfer Learning

Execute transfer learning on a multi-class image classification scenario

Mini Assignments IMDB Reviews
Sentiment Analysis on IMDB Reviews

Apply NLP to determine the sentiment of movie reviews from IMDB

Mini Assignments Increase Accuracy
Text Classification with Transformers

Apply NLP to utilize a transformer and increase accuracy in a prediction model

Meet the faculty

MO-PGPDSAI.IN Vivek Farias
Vivek Farias

Patrick J. McGovern (1959) Professor, Professor of Operations Management, MIT Sloan School of Management

Vivek Farias currently holds the prestigious Patrick J. McGovern Professorship at MIT Sloan, where he leads research in operations management and optimization. He is also affi...

MO-PGPDSAI.IN Robert Freund
Robert Freund

Theresa Seley Professor in Management Science, Professor of Operations Research, MIT Sloan School of Management

Robert Freund is the Theresa Seley Professor at MIT Sloan and a former Deputy Dean, reflecting his longstanding leadership within the institution. He is one of the most respec...

MO-PGPDSAI.IN Retsef Levi J
J. Spencer Standish

Professor of Management (1945), MIT Leaders for Global Operations (LGO), MIT Sloan School of Management

Retsef Levi holds the Spencer Standish Professorship at MIT Sloan and leads the MIT LGO Program, a flagship collaboration between MIT Sloan and the School of Engineering focus...

MO-PGPDSAI.IN Rama Ramakrishnan
Rama Ramakrishnan

Professor of the Practice, MIT Sloan School of Management

Rama Ramakrishnan is a Professor of the Practice at MIT Sloan, where he designs and teaches MIT’s most applied AI and machine learning programs, including the Applied Machine ...

Certificate

Certificate

Upon successful completion of the program, MIT xPRO grants a certificate of completion to participants and 36 Continuing Education Units (CEUs). This post graduate program is graded as a pass or fail; participants must receive 75% to pass and obtain the certificate of completion. Your verified digital certificate will be emailed to you, at no additional cost, with the name you used when registering for the program.

Career Services

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IIMJobs Pro subscription for 6 months
  • Spotlight and profile boost for applied jobs

  • Chat with recruiters who shortlist your profile

  • Access to job insights

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Resume-builder tool
  • 6-month access to DIY resume builder

  • Auto resume creator with optimization suggestions

  • Unlimited resume iterations within the duration

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Career preparation modules
  • Resume and cover letter essentials

  • Maximizing LinkedIn and job search strategy

  • Interview preparation and personal branding

Note: -

MIT xPRO or Emeritus do not promise or guarantee a job or progression in your current job. Career Services is only offered as a service that empowers you to manage your career proactively. The Career Services mentioned here are offered by Emeritus. MIT xPRO is NOT involved in any way and makes no commitments regarding the Career Services mentioned here.

Registration for this program is done through Emeritus. You can contact us at mit.xpro@emeritus.org

This program is open for enrolments for residents of India, Bangladesh, Bhutan, Myanmar, Nepal, Pakistan, Sri Lanka, Philippines, Indonesia, Thailand, Vietnam and Malaysia only.

FAQs

Note: *100% recorded weekly lectures by MIT faculty. Some weeks are primarily application-focused and do not have faculty recorded lectures and will only have live hands-on sessions by industry experts **QS world rankings 2025, US News rankings 2025 Note: Basic knowledge of math, excel dataset usage and exposure to programming concepts is required. The program is also open to learners with no prior programming experience (but additional efforts may be required)

Early Registrations Are Encouraged. Seats Fill Up Quickly!

Flexible payment options available.

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