Program Overview

Program Overview

The MicroMasters Statistics and Data Science Program (SDS) is offered by the Massachusetts Institute of Technology (MIT).

Program Structure

The program consists of core and track courses.

Core Courses

• Complete all of the following:
  1. Probability - The Science of Uncertainty and Data: Starts Jan 20, 2026 - Enrollment Open
  2. Machine Learning with Python: from Linear Models to Deep Learning: Ongoing - Enrollment Open
  3. Capstone Exam in Statistics and Data Science: October, 2024. Rolling enrollment for all eligible learners begins mid-September, 2024

Track Courses

• Complete 2 of the following 4 courses:
  1. Fundamentals of Statistics: Starts Jan 27, 2026 - Enrollment Open
  2. Data Analysis: Statistical Modeling and Computation in Applications: Ongoing - Enrollment Open
  3. Data Analysis in Social Science—Assessing Your Knowledge: Rolling enrollments for all eligible learners begins September, 2025
  4. Learning Time Series with Interventions: Starts Feb 3, 2026 - Enrollment Open

Instructors

The program is taught by a team of experienced instructors from MIT, including:

• Devavrat Shah: Faculty Director of the MicroMasters Program in Statistics & Data Science; Professor, Electrical Engineering & Computer Science; Director of Statistics & Data Science Center at MIT.
• Patrick Jaillet: Dugald C. Jackson Professor, Electrical Engineering and Computer Science; Co-Director, MIT Operations Research Center, MIT
• John Tsitsiklis: Clarence J. Lebel Professor, Department of Electrical Engineering and Computer Science; Director of the Laboratory for Information and Decision Systems (LIDS), MIT
• Esther Duflo: Abdul Latif Jameel Professor of Poverty Alleviation and Development Economics in the Department of Economics, MIT
• Sara Fisher Ellison: Senior Lecturer, Economics, MIT
• Philippe Rigollet: Associate Professor, Mathematics department and Statistics and Data Science Center (SDSC), MIT
• Regina Barzilay: Delta Electronics professor in the Department of Electrical Engineering and Computer Science, MIT
• Tommi S. Jaakkola: Thomas Siebel Professor of Electrical Engineering and Computer Science and the Institute for Data, Systems, and Society, MIT
• Stefanie Jegelka: X-Consortium Career Development Associate Professor, Electrical Engineering & Computer Science​, MIT
• Caroline Uhler: Henry L. & Grace Doherty Associate Professor, Electrical Engineering and Computer Science, MIT

Program Details

The program is affiliated with the MIT Institute for Data, Systems, and Society. The annual course schedules for 2025 and 2026 are available. The program is delivered on the edX platform.