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
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 through projects
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 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...
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...
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...
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
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
Spotlight and profile boost for applied jobs
Chat with recruiters who shortlist your profile
Access to job insights
6-month access to DIY resume builder
Auto resume creator with optimization suggestions
Unlimited resume iterations within the duration
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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