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.
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
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:
6.7830 (6.435), 6.7700 (6.436[J]), 6.7800 (6.437), 6.7810 (6.438), 6.7900 (6.867), 6.8300 (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 
How to Apply
To apply for the Minor in Statistics and Data Science, please fill out the minor application form. After submitting the form, you will be paired with a minor advisor (minor advisors cannot be from your home department). Course substitution requests may cause a delay in the process.