Harness the power of AI and data with MIT’s world-class faculty
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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 *
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).
Leverage data to optimize processes and enhance decision-making
Use Python and Google Colab to train, run, and analyze datasets and models effectively
Translate technical results into actionable business insights for executive decision-making
Build a portfolio using regression, deep learning, NLP, and more to solve real-world problems
Apply AI to extract insights and stay current with the latest in AI and ML
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.
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
Apply your learnings to mini projects and assignments:
Construct an XGBoost model to predict diabetes in a patient, using various diagnostic variables and a diabetes dataset
Utilize TensorFlow and Keras to create a neural network for a novel dataset focusing on heart rate
Develop a collaborative filtering model for a music recommendation system/data set
Execute transfer learning on a multi-class image classification scenario
Apply NLP to determine the sentiment of movie reviews from IMDB
Apply NLP to utilize a transformer and increase accuracy in a prediction model
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 ...
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.
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.
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)
Flexible payment options available.
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