Post Graduate Program in Data Science and AI
Harness the power of AI and data with MIT’s world-class faculty
Unlock Your Potential
Emeritus is collaborating with MIT xPRO to help you build future-ready skills. Enroll before Invalid liquid data and get 5% tuition assistance to set yourself up for professional success. Use Code UNLOCKGTC052094 during payment to avail tuition assistance.
Round Application Deadline
Upcoming round date:Invalid liquid data
Program Overview
To empower professionals with future-ready skills, the Post Graduate Program in Data Science and AI by MIT xPRO has been crafted by globally renowned MIT faculty and blends deep academic learning with real-world application—enabling participants to develop core competencies in AI, predictive analytics and cloud computing.
With a comprehensive foundation in data science along with practical expertise using over 25 tools and libraries, the curriculum will cover everything from basic to advanced techniques in Deep Learning, Natural Language Processing, and GenAI—equipping you to solve real business problems with confidence and strategic precision.
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).
Why is this program one of a kind?
Learn at your own pace with pre-recorded video lectures* by MIT faculty
Engage in weekly live sessions led by top data science and AI experts for deeper insights and real-world perspectives
Reinforce your learning with mini projects and assignments throughout the program
Access Virtual Labs with 25+ leading data science tools and libraries
Showcase your proficiency in solving real-world problems through a 2-week Capstone Project
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 *
Getting you industry ready, the MIT way.
Leverage data strategically to optimize processes, refine business strategies, and enhance decision making across organizational functions
Learn to apply Python and Google Colab to train, organize, run, and analyze datasets and models that yield meaningful results
Translate technical results into business insights that enable data-driven decisions at the leadership level
Build a portfolio of modeling tools and projects that demonstrate your ability to solve real-world business problems through prediction, classification, and optimization
Harness the power of AI to extract meaningful insights from data and stay abreast of the latest developments 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
Retail Management
Analyze how a Boston, MA retailer handled its response to the Covid-19 pandemic using the systems approach.
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.
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.
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
Apply your learnings to mini projects and assignments:
Build an XGBoost Predictive Model Construct an XGBoost model to predict diabetes in a patient, using various diagnostic variables and a diabetes dataset.
Use TensorFlow and Keras to Create a Neural Network Utilize TensorFlow and Keras to create a neural network for a novel dataset focusing on heart rate.
Creating a Collaborative Filtering Model Develop a collaborative filtering model for a music recommendation system/data set.
Multi-Class Image Classification Problem Execute transfer learning on a multi-class image classification scenario.
Determining the Sentiment of IMDB Reviews Apply NLP to determine the sentiment of movie reviews from IMDB.
Utilizing a Transformer to Increase Accuracy Apply NLP to utilize a transformer and increase accuracy in a prediction model.
Meet the faculty
Patrick J. McGovern (1959) Professor, Professor of Operations Management, MIT Sloan School of Management
Vivek is affiliated with the Operations Management group and the Operations Research Center (ORC) at MIT Sloan School of Management. His research focuses on the development of...
Theresa Seley Professor in Management Science, Professor of Operations Research, MIT Sloan School of Management
Robert’s primary research interests are in convex optimization, computational complexity and related computational science, convex geometry, and large-scale nonlinear optimiza...
Professor of Management (1945), MIT Leaders for Global Operations (LGO), MIT Sloan School of Management
Retsef’s research focuses on the design of analytical data-driven decision support models and tools addressing complex business and system design decisions under uncertainty i...
Professor of the Practice, MIT Sloan School of Management
Rama’s research and teaching interests focus on the application of data science and machine learning techniques to problems in industry and the creation of intelligent product...
Certificate
Upon successful completion of the program, MIT xPRO grants a certificate of completion to participants and 36 Continuing Education Units (CEUs). This 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.
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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