The organizational structure of the MIT Schwarzman College of Computing brings together existing MIT programs in computing and developing much-needed new cross-cutting educational and research programs.

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Department of Electrical Engineering and Computer Science (EECS)

The largest academic department at MIT, educating and mentoring hundreds of undergraduate and graduate students for career leadership in academia, industry, and government, through a rigorous and innovative curriculum, with world-class faculty with pioneering contributions to electrical engineering and computer science. Jointly part of the Schwarzman College of Computing and School of Engineering, EECS is now composed of three overlapping sub-units in electrical engineering (EE), computer science (CS), and artificial intelligence and decision-making (AI+D). The department remains responsible for Course 6.

Operations Research Center (ORC)

A graduate program in operations research. ORC’s community of scholars and researchers work collaboratively to connect data to decisions in order to solve problems effectively – and impact the world positively. Jointly part of the Schwarzman College of Computing and Sloan School of Management.

Institute for Data, Systems and Society (IDSS)

Advances education and research in state-of-the-art analytical methods in information and decision systems, statistics and data science, and the social sciences, and to apply these methods to address complex societal challenges in a diverse set of areas such as finance, energy systems, urbanization, social networks, and health.

IDSS programs include:

Center for Computational Science and Engineering (CCSE)

Supports computational science and engineering research and education at MIT. Renamed from the Center for Computational Engineering to broaden its focus on the sciences, the emphasis of CCSE is on the development of new computational methods relevant to engineering disciplines and on the innovative application of computational methods to important problems in engineering and science.


Computer Science and Artificial Intelligence Laboratory (CSAIL)

The largest interdepartmental laboratory at MIT that focuses on developing fundamental new technologies, conducting basic research that furthers the field of computing, and inspiring and educating future generations of scientists and technologists.

Laboratory for Information and Decision Systems (LIDS)

An interdepartmental research center at MIT committed to advancing research and education in the analytical information and decision sciences.

Quest for Intelligence

Addresses two fundamental questions: How does human intelligence work, in engineering terms? And how can we use our understanding of human intelligence to build smarter machines for the benefit of society?

MIT-IBM Watson AI Lab

A community of scientists at MIT and IBM Research conducting AI research and work with global organizations to bridge algorithms to impact for business and society.

Abdul Latif Jameel Clinic for Machine Learning in Health (Jameel Clinic)

The goal of the Jameel Clinic is to develop AI technologies that will change the landscape of healthcare, including early diagnostics, drug discovery, care personalization and management. Building on MIT’s pioneering history in artificial intelligence and life sciences, Jameel Clinic works on novel algorithms suitable for modeling biological and clinical data across a range of modalities including imaging, text and genomics.

Cross-cutting Program

Social and Ethical Responsibilities of Computing (SERC)

Facilitating, supporting, and coordinating activities that develop “responsible habits of mind and action” in computing education and research, across MIT and beyond, as well as policy and practice in government and industry.

Common Ground for Computing Education

Facilitating, supporting, and coordinating the development and offering of computing classes and modules. The Common Ground for computing education will consist of faculty from a range of academic units at MIT in support of interdisciplinary computing classes and cross-unit or co-teaching of computing classes.

Center for Advanced Studies of Computing

Driving new developments related to all three key areas of the college via project-oriented semester- or year-long programs co-led by MIT faculty, with “fellows” from within and beyond MIT.