Mit department of electrical engineering and computer science

Q: Is MIT good for electrical engineering?

MIT EE Rankings The bachelors program at MIT was ranked #1 on College Factuals Best Schools for EE list. It is also ranked #1 in Massachusetts.

Department of Electrical Engineering and Computer Science

Table of Contents Show

Bachelor of Science in Electrical Engineering and Computer Science
General Institute Requirements (GIRs)
Departmental Program
Is MIT good for electrical engineering?
Does MIT have a computer science department?
What's special about MIT EECS?
What is an EE degree from MIT?

Bachelor of Science in Electrical Engineering and Computer Science

General Institute Requirements (GIRs)

The General Institute Requirements include a Communication Requirement that is integrated into both the HASS Requirement and the requirements of each major; see details below.

Summary of Subject Requirements	Subjects
Science Requirement	6
Humanities, Arts, and Social Sciences (HASS) Requirement; at least two of these subjects must be designated as communication-intensive (CI-H) to fulfill the Communication Requirement.	8
Restricted Electives in Science and Technology (REST) Requirement [satisfied by 18.C06 and 6.1910, 6.2000, 6.3700, or 18.05 in the Departmental Program]	2
Laboratory Requirement (12 units) [can be satisfied by 6.3100 in the Departmental Program]	1
Total GIR Subjects Required for SB Degree	17

Physical Education Requirement
Swimming requirement, plus four physical education courses for eight points.

Departmental Program

Choose at least two subjects in the major that are designated as communication-intensive (CI-M) to fulfill the Communication Requirement.

Fundamentals	Units
6.100A	Introduction to Computer Science Programming in Python	6
6.1900	Introduction to Low-level Programming in C and Assembly	6
6.120A	Discrete Mathematics and Proof for Computer Science	6
6.1210	Introduction to Algorithms	12
18.C06	Linear Algebra and Optimization 1	12
Select one of the following:	9-12
6.UAT	Oral Communication (CI-M)
6.UAR	Seminar in Undergraduate Advanced Research (CI-M)
Select one of the following:	12
6.3700	Introduction to Probability
6.3800	Introduction to Inference
18.05	Introduction to Probability and Statistics
System Design Centers
6.1910	Computation Structures	12
6.2000	Electrical Circuits: Modeling and Design of Physical Systems	12
6.3100	Dynamical System Modeling and Control Design	12
System Design Lab
6.9000	Engineering for Impact	12
Select four subjects, including two subjects each in two different tracks	48-51
Select one Course 6 subject that satisfies a degree requirement in 6-2, 6-3, or 6-4	12
Units in Major	171-177
Unrestricted Electives	48
Units in Major That Also Satisfy the GIRs	(36)
Total Units Beyond the GIRs Required for SB Degree	183-189

The units for any subject that counts as one of the 17 GIR subjects cannot also be counted as units required beyond the GIRs.

Tracks

Biomedical Systems
6.4800	Biomedical Systems: Modeling and Inference

6.4810[J]	Cellular Neurophysiology and Computing
6.4820[J]	Quantitative and Clinical Physiology
6.4830[J]	Fields, Forces and Flows in Biological Systems
6.4860[J]	Medical Device Design
Quantum Systems Engineering
6.2400	Introduction to Quantum Systems Engineering
6.2410	Quantum Engineering Platforms
Computer Architecture
6.1920	Constructive Computer Architecture
6.2050	Digital Systems Laboratory
6.2060	Microcomputer Project Laboratory
6.5931	Hardware Architecture for Deep Learning
Energy Systems
6.2200	Introduction to Electric Power Systems

6.2210	Electromagnetic Fields, Forces and Motion
6.2220	Power Electronics Laboratory (CI-M)
Hardware Design
6.1920	Constructive Computer Architecture
6.2050	Digital Systems Laboratory
6.2060	Microcomputer Project Laboratory (CI-M)
Hardware & Software
6.1800	Computer Systems Engineering (CI-M)

Embedded Systems
6.1820[J]	Mobile and Sensor Computing
6.2050	Digital Systems Laboratory
6.2060	Microcomputer Project Laboratory (CI-M)
6.4510	Engineering Interactive Technologies
Devices, Circuits, and Systems

6.2040	Analog Electronics Laboratory (CI-M)
6.2080	Introduction to Electronic Circuits
6.2090	Solid-State Circuits

6.2050	Digital Systems Laboratory
6.2060	Microcomputer Project Laboratory (CI-M)
6.2220	Power Electronics Laboratory (CI-M)
6.2300	Electromagnetics Waves and Applications
6.2500	Nanoelectronics and Computing Systems
Communications & Networks
6.7411	Principles of Digital Communication

6.1800	Computer Systems Engineering (CI-M)
6.3000	Signal Processing
6.3010	Signals, Systems and Inference
Nanoelectronics
6.2500	Nanoelectronics and Computing Systems

6.2540	Nanotechnology: From Atoms to Systems
6.2600[J]	Micro/Nano Processing Technology
Systems Science
6.3000	Signal Processing
6.3010	Signals, Systems and Inference
6.3260[J]	Networks
6.3720	Introduction to Statistical Data Analysis
6.3900	Introduction to Machine Learning
6.4110	Representation, Inference, and Reasoning in AI
6.4200[J]	Robotics: Science and Systems (CI-M)
6.4210	Robotic Manipulation (CI-M)
6.7201	Optimization Methods
6.8301	Advances in Computer Vision (CI-M)
Electromagnetics & Photonic Systems

6.2210	Electromagnetic Fields, Forces and Motion
6.2370	Modern Optics Project Laboratory (CI-M)
6.6331	Fundamentals of Photonics

Advanced Undergraduate Subjects

6.1040	Software Studio	15
6.1060	Software Performance Engineering	18
6.1100	Computer Language Engineering	12
6.1120	Dynamic Computer Language Engineering	12
6.1820[J]	Mobile and Sensor Computing	12
6.1920	Constructive Computer Architecture	12
6.2040	Analog Electronics Laboratory (CI-M)	12
6.2050	Digital Systems Laboratory	12
6.2060	Microcomputer Project Laboratory (CI-M)	12
6.2061	Microcomputer Project Laboratory - Independent Inquiry (CI-M)	15
6.2090	Solid-State Circuits	12
6.2200	Introduction to Electric Power Systems	12
6.2220	Power Electronics Laboratory (CI-M)	12
6.2221	Power Electronics Laboratory - Independent Inquiry (CI-M)	15
6.2530	Introduction to Nanoelectronics	12
6.3100	Dynamical System Modeling and Control Design	12
6.3260[J]	Networks	12
6.3720	Introduction to Statistical Data Analysis	12
6.3730[J]	Statistics, Computation and Applications	12
6.4120[J]	Computational Cognitive Science (CI-M)	12
6.4130[J]	Principles of Autonomy and Decision Making	12
6.4400	Computer Graphics	12
6.4420	Computational Design and Fabrication	12
6.4510	Engineering Interactive Technologies	12
6.4830[J]	Fields, Forces and Flows in Biological Systems	12
6.4860[J]	Medical Device Design (CI-M)	12
6.5081	Multicore Programming	12
6.5151	Large-scale Symbolic Systems	12
6.5831	Database Systems	12
6.5931	Hardware Architecture for Deep Learning	12
6.6331	Fundamentals of Photonics	12
6.7201	Optimization Methods	12
6.8301	Advances in Computer Vision	15
6.8371	Digital and Computational Photography	12
6.8611	Quantitative Methods for Natural Language Processing	15
6.8701	Computational Biology: Genomes, Networks, Evolution	12
6.8711[J]	Computational Systems Biology: Deep Learning in the Life Sciences	12
6.8721[J]	Principles of Synthetic Biology	12
6.8801[J]	Biomedical Signal and Image Processing	12
6.C01	Modeling with Machine Learning: from Algorithms to Applications 1	6
18.404	Theory of Computation	12

Independent Inquiry Subjects

6.1040	Software Studio	15
6.1060	Software Performance Engineering	18
6.1100	Computer Language Engineering	12
6.1120	Dynamic Computer Language Engineering	12
6.1820[J]	Mobile and Sensor Computing	12
6.2050	Digital Systems Laboratory	12
6.2061	Microcomputer Project Laboratory - Independent Inquiry (CI-M)	15
6.2221	Power Electronics Laboratory - Independent Inquiry (CI-M)	15
6.2370	Modern Optics Project Laboratory (CI-M)	12
6.3730[J]	Statistics, Computation and Applications	12
6.4120[J]	Computational Cognitive Science (CI-M)	12
6.4200[J]	Robotics: Science and Systems (CI-M)	12
6.4210	Robotic Manipulation	15
6.4420	Computational Design and Fabrication	12
6.4510	Engineering Interactive Technologies	12
6.4530[J]	Principles and Practice of Assistive Technology	12
6.4590[J]	Foundations of Information Policy	12
6.4880[J]	Biological Circuit Engineering Laboratory (CI-M)	12
6.5151	Large-scale Symbolic Systems	12
6.8301	Advances in Computer Vision	15
6.8611	Quantitative Methods for Natural Language Processing	15
6.8701	Computational Biology: Genomes, Networks, Evolution	12
6.9030	Strobe Project Laboratory (CI-M)	12
6.C01	Modeling with Machine Learning: from Algorithms to Applications 1	6
6.UAR	Seminar in Undergraduate Advanced Research	6

Advanced Departmental Laboratory Subjects

6.1040	Software Studio	15
6.1060	Software Performance Engineering	18
6.1100	Computer Language Engineering	12
6.1820[J]	Mobile and Sensor Computing	12
6.1920	Constructive Computer Architecture	12
6.2040	Analog Electronics Laboratory (CI-M)	12
6.2050	Digital Systems Laboratory	12
6.2060	Microcomputer Project Laboratory (CI-M)	12
6.2061	Microcomputer Project Laboratory - Independent Inquiry	15
6.2090	Solid-State Circuits	12
6.2092	Solid-State Circuits	12
6.2220	Power Electronics Laboratory (CI-M)	12
6.2221	Power Electronics Laboratory - Independent Inquiry	15
6.2370	Modern Optics Project Laboratory (CI-M)	12
6.2600[J]	Micro/Nano Processing Technology (CI-M)	12
6.3100	Dynamical System Modeling and Control Design	12
6.4200[J]	Robotics: Science and Systems (CI-M)	12
6.4400	Computer Graphics	12
6.4420	Computational Design and Fabrication	12
6.4550[J]	Interactive Music Systems	12
6.4570[J]	Creating Video Games	12
6.4860[J]	Medical Device Design (CI-M)	12
6.4880[J]	Biological Circuit Engineering Laboratory (CI-M)	12
6.5081	Multicore Programming	12
6.8301	Advances in Computer Vision	15
6.8611	Quantitative Methods for Natural Language Processing	15
6.8701	Computational Biology: Genomes, Networks, Evolution	12
6.8801[J]	Biomedical Signal and Image Processing	12
6.9030	Strobe Project Laboratory (CI-M)	12

Probability Subjects

6.1200[J]	Mathematics for Computer Science	12
6.3700	Introduction to Probability	12
6.3800	Introduction to Inference	12
18.05	Introduction to Probability and Statistics	12
18.600	Probability and Random Variables	12

Is MIT good for electrical engineering?

MIT EE Rankings The bachelor's program at MIT was ranked #1 on College Factual's Best Schools for EE list. It is also ranked #1 in Massachusetts.

Does MIT have a computer science department?

The department has a strong research interest in diverse areas of Computer Science and offers a Ph. D. Program. The focus areas of research are AI& Machine Learning, High-Performance Computing Systems, Computer Networks & Security, Knowledge Engineering, and Software Engineering.

What's special about MIT EECS?

Our flexible curriculum and inventive, hands-on approach to coursework gives students a holistic view of the field, an understanding of how to solve problems, and a focus on modeling and abstraction that prepares them for success in a wide range of fields, from research to industry and beyond.

What is an EE degree from MIT?

It is designed to equip students with a foundational knowledge of economic analysis, computing, optimization, and data science, as well as hands-on experience with empirical analysis of economic data. Students take eight subjects that provide a mathematical, computational, and algorithmic basis for the major.