Minor in Statistics and Data Science
MIT’s Minor in Statistics and Data Science is available to MIT undergraduates from any major.
Statistics is the science of making inferences and decisions under uncertainty. It is increasingly relevant in the modern world due to the widespread availability of and access to unprecedented amounts of data and computational resources. Unlike classical statistics, the need to process and manage massive amounts of data has become a key feature of modern statistics, and is commonly referred to as data science.
Through seven required subjects, the Minor in Statistics and Data Science focuses on providing students with a working knowledge base in statistics, probability, and computation, along with an ability to perform data analysis.
*Please Note: Changes in the prerequisites for the capstone (IDS.012) have split the former Foundation course into two requirements (Foundation One and Two) to assure all students in the minor will have completed the expected prerequisites. The change to the capstone requirements will not be official until 2022, but we highly recommend all Stats minors complete the Foundation One requirement to be properly prepared for IDS.012.
A minimum of four subjects taken for the statistics and data science minor cannot also count toward a major or another minor. Please contact us with further questions.
Foundation One (select one)
Foundation Two (select one)
Statistics 1 (select one)
Statistics 2 (select one)
Computation & Data Analysis (select two)
Capstone Subject (required)

Graduate Subjects
The graduate subjects listed below have been preapproved by the Statistics Curriculum Committee (D. Shah & D. Gamarnik, cochairs) as suitable statistics coursework for advanced undergraduates. After receiving approval from your minor advisor, students may petition to take one of these subjects in lieu of one of the undergraduate subjects listed above. Note, IDS.012 can only be switched with the graduatelevel version of the same class, IDS.131:
6.435, 6.436[J], 6.437, 6.438, 6.867, 6.869, 9.073, 9.272[J], 11.220, 14.387, 15.034, 15.062[J], 15.068, 15.071, 16.391[J], 16.470[J], 16.940, 17.800, 18.655 
Minor Advisors
Minor advisors must be from outside the student’s major field of study.
 Emery Brown Brain and Cog. Science
 Victor Chernozhukov Economics
 Daniel Frey Mechanical Engineering
 David Gamarnik Management
 Youssef Marzouk Aero/Astro
 Anna Mikusheva Economics
 Ankur Moitra Math
 Philippe Rigollet Math
 Devavrat Shah EECS (unavailable for 2021)
 Roy Welsch MIT Sloan
 Teppei Yamamoto Political Science
You are welcome to discuss your interest in the minor with any of the faculty members listed above. With your application, please list your top three choices for a minor advisor.
How to Apply
To apply for the Minor in Statistics and Data Science, please fill out the minor application form.