Undergraduate Programs

Computing majors are the largest at MIT. A joint venture between the Schwarzman College of Computing and the School of Engineering, the Department of Electrical Engineering and Computer Science (EECS) offers several undergraduate degree programs which satisfy a variety of interests.

Led by world-class faculty, EECS students engage in a rigorous, hands-on curriculum that prepares them for a wide range of careers in the public and private sectors. Many students also go on to pursue graduate studies and careers in academia.

Interested in pursuing an undergraduate degree in computing at MIT? Undergraduates begin their studies here without a declared major (aka, Course). All prospective students should direct their questions and apply through MIT Admissions.

Majors

  • Computer Science and Engineering. Course 6-3 centers on software engineering, computer systems, and theoretical computer science, and allows exploration into computer architecture, human-computer interaction and graphics, and artificial intelligence and machine learning.
  • Artificial Intelligence and Decision Making. Course 6-4 focuses on the analysis and synthesis of systems that interact with an external world via perception, communication, and action, and that learn, make decisions and adapt in a changing environment.
  • Electrical Engineering with Computing.  Course 6-5 starts with a core in circuits, systems, and computer architecture, along with a grounding in computation, and allows students to explore all areas of electrical engineering, from analog circuit design to computer engineering to quantum engineering to communications.

Blended majors

  • Computer Science and Molecular Biology. Course 6-7 prepares students for careers in emerging areas at the interface of biology and engineering — including pharmaceuticals, bioinformatics, and computational molecular biology.
    Offered jointly with the Department of Biology
  • Computation and Cognition. Course 6-9 focuses on the emerging field of computational and engineering approaches to brain science, cognition, and machine intelligence.
    Offered jointly with the Department of Brain and Cognitive Sciences
  • Computer Science, Economics, and Data Science. Course 6-14 builds skills in economics, computing, and data science that are increasingly valued in both the business world and academia by exploiting the substantial overlap the fields have in their reliance on game theory and mathematical modeling techniques and their use of data analytics.
    Offered jointly with the Department of Economics
  • Urban Science and Planning with Computer Science. Course 11-6 emphasizes the development of fundamental skills in urban planning and policy, including ethics and justice; statistics, data science, geospatial analysis, and visualization; and computer science, robotics, and machine learning.
    Offered jointly with the Department of Urban Studies and Planning

Minors

  • Computer Science. Students minoring in Computer Science develop the knowledge and skills needed to make effective use of computer science concepts and computing technology in their future careers.
  • Statistics and Data Science. Interdisciplinary minor offered by the Institute for Data, Systems and Society provides students with a working knowledge base in statistics, probability, and computation, along with an ability to perform data analysis.