MIT Stephen A. Schwarzman College of Computing

Overview

The mission of the MIT Stephen A. Schwarzman College of Computing is to address the opportunities and challenges of the computing age—from hardware to software to algorithms to artificial intelligence (AI)—by transforming the capabilities of academia in three key areas:

  • Computing fields: Support the rapid growth and evolution of computer science and computational areas of allied fields such as electrical engineering, as reflected notably in the rise of AI.
  • Computing across disciplines: Facilitate productive research and teaching collaborations between computing and other fields, rather than place one field in service of another.
  • Social and ethical aspects of computing: Lead the development of and changes in academic research and education, and effectively inform practice and policy in industry and government.

In order to deliver on its mission, the college is designed to take MIT’s computing programs to the next level by facilitating the rapid evolution of computing education and research programs, improving collaboration between computing and other disciplines, and advancing the study and practice of social and ethical responsibilities of computing.

The college’s unique structure is at once both cross-cutting across all of MIT and a focused home for computer science and AI education and research, strengthening the computing fields and more effectively and creatively connecting AI and computing to every discipline.

Organization

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.

Academics

Research

Cross-Cutting Programs

Degrees Offered in the MIT Schwarzman College of Computing

Computational Science and Engineering

SM Computational Science and Engineering 1
PhD, ScD Aerospace Engineering and Computational Science 1 2
PhD, ScD Chemical Engineering and Computation 1
PhD, ScD Civil Engineering and Computation 1
PhD, ScD Computational Earth, Science and Planetary Sciences 1
PhD, ScD Computational Materials Science and Engineering 1
PhD, ScD Computational Nuclear Science and Engineering 1
PhD, ScD Environmental Engineering and Computation 1
PhD, ScD Mathematics and Computational Science 1
PhD, ScD Mechanical Engineering and Computation 1
PhD, ScD Nuclear Engineering and Computation 1

Data, Systems, and Society

SM Technology and Policy
PhD, ScD Social and Engineering Systems
PhD Social and Engineering Systems and Statistics
PhD Aeronautics and Astronautics and Statistics
PhD Cognitive Science and Statistics
PhD Economics and Statistics
PhD Mathematics and Statistics
PhD Mechanical Engineering and Statistics
PhD Neuroscience and Statistics
PhD Physics, Statistics, and Data Science
PhD Political Science and Statistics

Electrical Engineering and Computer Science (Course 6)

SB Artificial Intelligence and Decision Making
SB Computer Science and Engineering
SB Electrical Engineering with Computing
SM Electrical Engineering and Computer Science
SM/MBA Engineering/Management—dual degree with Leaders for Global Operations Program 1
MEng Computer Science, Economics, and Data Science
MEng Electrical Engineering and Computer Science
Electrical Engineer
Engineer in Computer Science
PhD, ScD Computer Science
PhD, ScD Computer Science and Engineering
PhD, ScD Electrical Engineering
PhD, ScD Electrical Engineering and Computer Science

Operations Research

SM Operations Research 1
PhD Operations Research 1
1

See Interdisciplinary Programs.

2

Students who matriculated in the Department of Aeronautics and Astronautics doctoral program and the Computational Science and Engineering (CSE) doctoral program in academic year 2023–2024 or earlier can choose eitherPhD/ScD in Computational Science and Engineering or the PhD/ScD in Aerospace Engineering and Computational Science. AeroAstro/CSE students who matriculate in academic year 2024–2025 or later will receive the PhD/ScD in Aerospace Engineering and Computational Science.

Admissions

The selection process at MIT is holistic and student-centered; each application is evaluated within its unique context. Selection is based on outstanding academic achievement as well as a strong match between the applicant and the Institute.

Undergraduate applicants do not apply to a particular school, department, or program. Although the application asks about a preferred field of study, admitted undergraduates are not required to choose a major until their sophomore year. Admissions information for regular and transfer applicants is provided in the Undergraduate section, as well as on the undergraduate admissions website.

Applicants for graduate study apply directly to their particular department or program of interest. See the individual department and program descriptions for specific requirements.

Office of the Dean

Daniel Huttenlocher, PhD
Henry Ellis Warren (1894) Professor of Electrical Engineering and Computer Science
Dean, MIT Schwarzman College of Computing

Asuman E. Ozdaglar, PhD
MathWorks Professor of Electrical Engineering and Computer Science
Head, Department of Electrical Engineering and Computer Science
Deputy Dean of Academics, MIT Schwarzman College of Computing

Caspar Hare, PhD
Professor of Philosophy
Associate Dean for Social and Ethical Responsibilities of Computing, MIT Schwarzman College of Computing

Nikolaos (Nikos) Trichakis, PhD
Associate Professor of Operations Management
Interim Associate Dean for Social and Ethical Responsibilities of Computing, MIT Schwarzman College of Computing

Aude Oliva, PhD
MIT Director, MIT-IBM Watson AI Lab
Director of Strategic Industry Engagement, MIT Schwarzman College of Computing

Nandi Bynoe
Assistant Dean for Diversity, Equity, and Inclusion

Eileen Ng
Assistant Dean for Administration

Yumi Yasutake
Assistant Dean of Development

Terri Park
Director of Communications