IDSS students will address societal challenges by combining the fundamentals of statistics, data science, information and decision systems, as well as a rigorous study of social sciences with application domain areas.
For the next generation of researchers and practitioners addressing complex systems of societal importance, IDSS offers its signature program, the Doctoral Program in Social and Engineering Systems (SES). Students receive a thorough preparation in information, statistics, systems, and decision sciences; they focus on a social science; and finally gain experience addressing a concrete societal challenge. Graduates of the program will advance the state of knowledge in theory or in practice, and will take their skills with them to transformative careers in their chosen field.
IDSS hosts the Technology and Policy Program (TPP), which has offered the Master of Science in Technology and Policy at MIT since 1976. TPP’s ongoing mission is to develop leaders who can create, refine, and implement responsible policies that are informed not only by an understanding of technology and its instruments, but also by their broad social contexts. Combining a core in science and engineering with studies in applied social sciences, TPP’s curriculum imparts strength in both a technical field and in the policy process. Moreover, each TPP student is required to complete a research thesis, supplying a significant research experience that equips graduates to be effective leaders in both the public and private sectors, or prepares them for further development of their research skills in a doctoral program.
Statistics and Data Science Programs
The need to analyze data in order to make informed decisions is fundamental to our society. Statistics is the science of making inferences and decisions from data under uncertainty. It is an essential tool for almost every quantitative field. As the home of MIT’s emerging statistics community, IDSS offers academic programs in statistics to MIT’s undergraduate and graduate students, and an online MicroMasters to learners around the world.
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.
Through six subjects, MIT’s new Minor in Statistics and Data Science will provide students with a working knowledge base in statistics, probability, and computation, and develop their ability to perform data analysis. This program begins September 2016.
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.