EECS

Electrical Engineering and Computer Science

Website Faculty

Course 6

Covering the full range of computer, information, and energy systems, the MIT Department of Electrical Engineering and Computer Science (EECS/Course 6) brings the world’s most brilliant faculty and students together to innovate and explore.

Technical Skills

  • A focus on modeling and abstraction
  • Hands-on approach to learning
  • Emphasis on problem-solving skills

Common Careers

  • Engineer
  • Scientist
  • Researcher
A person with curly hair, wearing a white top, examines a large, complex machine with wires and metal components in a high-tech lab with orange walls and blue lighting.
A person carefully uses tools to adjust a small electronic device with red wires, focusing intently on their work over a transparent dish in a well-lit area.
A man points to a research poster while explaining it to another person holding a clipboard. Two other posters and people are visible in the background, suggesting a poster presentation event.
A person wearing glasses and an MIT jacket works with electronic equipment at a lab desk, using tools near a thermal imaging camera displaying a heat map, surrounded by monitors and scientific instruments.
Close-up of a green circuit board with connected electronic components, including wires, a breadboard, and a microcontroller module. Text labels and a QR code are visible on the board.

About

From foundational hardware and software systems, to cutting-edge machine learning models and computational methods to address critical societal problems, the work of the MIT Department of Electrical Engineering and Computer Science changes the world.

Why Choose EECS?

EECS majors design the most sophisticated systems ever built. Electrical engineering leverages computational, theoretical, and experimental tools to develop sensors and transducers, computational substrates, and systems that connect the physical and digital world. Computer science develops both the theoretical principles and algorithms and the practical languages, systems, and interfaces that power computing at all scales, from the smallest robots to the largest data centers. Artificial intelligence and decision-making explores the foundations of machine learning and decision systems, the building blocks of embodied intelligence, and the interface between decision-making and society. Our research is interdisciplinary by nature, and has far-reaching effects on almost every field of human activity, including energy and climate, human health, communications and computation, finance, and music.

Learn about 6-5, “Electrical Engineering With Computing,” our new flagship electrical engineering major.

EECS Stories

EECS Degrees

Undergraduate
  • Course 6-3 Computer Science and Engineering
  • Course 6-4 Artificial Intelligence and Decision Making
  • Course 6-5 Electrical Engineering With Computing
  • Course 6-7 Computer Science and Molecular Biology
  • Course 6-9 Computation and Cognition
  • Course 11-6 Urban Science and Planning with Computer Science
  • Course 6-14 Computer Science, Economics, and Data Science
  • MEng Program: Open to EECS undergraduates in 6-3, 6-4, 6-5, 6-7, and 6-14 programs, the MEng program allows students to earn a bachelor’s and master’s degree in five years.
Graduate

Graduate Program:

  • The largest graduate program in MIT’s School of Engineering, EECS has about 700 graduate students in the doctoral program at any given time. Those students conduct groundbreaking research across a wide array of fields alongside world-class faculty and research staff, build lifelong mentorship relationships and drive progress in every sector touched by electrical engineering, computer science, and artificial intelligence and decision-making.
A young man gestures while explaining a scientific poster to another person at a conference or academic event. Other attendees and posters are visible in the background.
A close-up of gloved hands using tweezers to handle a small, transparent object under a bright light, suggesting a precise scientific or laboratory procedure.
Two people sit at a lab bench, smiling and working with a microscope and electronic equipment in a well-lit room with shelves and storage boxes in the background.

Ask an EECS Engineer

MIT EECS Student Profile: Cooper Jones

Resources

EECS is where the future is invented

  1. EECS Curriculum
  2. MEng Program
  3. Graduate Programs
A person wearing safety goggles smiles while working with electronics and microscopes at a laboratory workbench filled with equipment and wires.