The Electrical Engineering and Computer Science (EECS) Department offers an in-depth education in engineering principles built on mathematics, computation and the physical and life sciences. Community members make breakthroughs that allow people to communicate more easily, manage their environments more effectively and lead more comfortable lives.
EECS (Course 6) was one of the original engineering departments to partner with LGO in 1988. Coursework covers a wide range of subjects relevant to LGO students, helping them address common challenges in operations and manufacturing.
Through the support of LGO industry partners who wish to invest in future leaders from EECS, LGO students enrolled in the EECS department will receive a generous fellowship. For the most current information on the LGO fellowship, visit our program costs page.
Popular EECS courses among LGO students include:
LGO students in EECS work with departmental faculty advisors to customize their program. Curriculums have focused on areas such as computer systems and architecture, power electronics, and decision systems and algorithms. One optional track is available to LGO students:
Foster the skills to lead teams in developing, implementing and/or utilizing information and decision systems. (Intended only for students with a strong background in computer science and/or applied mathematics and statistics.) Courses for this track include:
Learn more about the MIT Graduate Program in Electrical Engineering and Computer Science.
Graduates of the MIT LGO program receive two degrees in two years: either an MBA or a Master of Science in Management degree from MIT Sloan School of Management, and a Master of Science degree from one of seven participating departments in the School of Engineering.
Dugald C. Jackson Professor of Electrical Engineering and Computer Science
Co-Director, Operations Research Center
Read about Professor Jaillet on the CEE website
M.Eng. in Electrical Engineering and Computer Science, MIT, 2009
S.B. in Electrical Engineering and Computer Science, MIT, 2008