Interdisciplinary Doctoral Program in Statistics
The Interdisciplinary PhD in Statistics (IDPS) is designed for students currently enrolled in a participating MIT doctoral program who wish to develop their understanding of 21st century statistics, using concepts of computation and data analysis as well as elements of classical statistics and probability within their chosen field of study.
Undergraduate Minor in Statistics & Data Science
Through six subjects, MIT’s new Minor in Statistics and Data Science provides students with a working knowledge base in statistics, probability, and computation, while developing their ability to perform data analysis.
MicroMasters program in Statistics and Data Science
The online MicroMasters program in Statistics and Data Science is comprised of four online courses and a virtually proctored exam that will provide you with the foundational knowledge essential to understanding the methods and tools used in data science, and hands-on training in data analysis and machine learning. You will dive into the fundamentals of probability and statistics, as well as learn, implement, and experiment with data analysis techniques and machine learning algorithms. This program will prepare you to become an informed and effective practitioner of data science who adds value to an organization and will also accelerate your path towards an MIT PhD or a Master’s at other universities.
Data Science and Machine Learning: Making Data-Driven Decisions
With recorded lectures by MIT faculty and personalized mentorship from industry practitioners, this 10-week program covers statistics and Python foundations, machine learning, deep learning, NLP, prediction, recommendation systems, and more. The program is in collaboration with Great Learning.
