Course 6-9 Master of Engineering
The Department of Electrical Engineering and Computer Science and the Department of Brain and Cognitive Sciences offer a joint curriculum leading to a Master of Engineering in Computation and Cognition that focuses on the emerging field of computational and engineering approaches to brain science, cognition and machine intelligence. The curriculum provides flexibility to accommodate students with a wide diversity of interests in this area—from biologically-inspired approaches to artificial intelligence, to reverse engineering circuits in the brain. This joint master’s program prepares students for careers that include advanced applications of artificial intelligence and machine learning, as well as further graduate study in systems and cognitive neuroscience. Students in the program are full members of both departments, with one academic advisor from each department.
The Master of Engineering in Computation and Cognition is a five to five-and-a-half year program in which Course 6-9 students earn a bachelors and master's degree. This program is only open to Computation and Cognition (6-9) majors at MIT. Students may earn the degree concurrently or sequentially with their undergraduate degree. Students will meet all degree requirements for the 6-9 major and complete an additional 90 units including 24 units of thesis work. The MEng compresses the coursework necessary for a four-year bachelor's and a two-year master's degree into ten or eleven semesters. Students begin fulfilling MEng requirements in their latter semesters as undergraduates.
If you are a 6-9 major and meet the criteria below and your research program is adequately developed, you will be admitted into the MEng program.
- A technical GPA 4.25 or better (letter grades in 6-9 courses and any other courses in 6, 8, or 18)
- Completion of 9 subjects (or 102 units) counting toward the 6-9 major
- An overall GPA of 4.0 is required by the end of the term in which students apply
- One UROP or SuperUROP (The EECS or BCS Office may contact research supervisors for their views on candidates).
- A commitment from a faculty member to supervise their thesis research.
Students in their Junior or Senior year should submit an online application in November or April.
MEng Application Website (available in November and April; see application for deadline)
Course 6-9P Graduate Requirements
|6.THM||Master of Engineering Program Thesis||24|
EECS Advanced Subjects
|6.231||Dynamic Programming and Reinforcement Learning||12|
|6.241[J]||Dynamic Systems and Control||12|
|6.245||Multivariable Control Systems||12|
|6.246, 6.247||Advanced Topics in Control||12|
|6.248, 6.249||Advanced Topics in Numerical Methods||12|
|6.251[J]||Introduction to Mathematical Programming||12|
|6.254||Game Theory with Engineering Applications||12|
|6.256[J]||Algebraic Techniques and Semidefinite Optimization||12|
|6.260, 6.261||Advanced Topics in Communications||12|
|6.262||Discrete Stochastic Processes||12|
|6.265[J]||Discrete Probability and Stochastic Processes||12|
|6.267||Heterogeneous Networks: Architecture, Transport, Proctocols, and Management||12|
|6.268||Network Science and Models||12|
|6.332, 6.333||Advanced Topics in Circuits||12|
|6.335[J]||Fast Methods for Partial Differential and Integral Equations||12|
|6.336[J]||Introduction to Numerical Simulation||12|
|6.337[J]||Introduction to Numerical Methods||12|
|6.338[J]||Numerical Computing and Interactive Software||12|
|6.339[J]||Numerical Methods for Partial Differential Equations||12|
|6.341||Discrete-Time Signal Processing||12|
|6.344||Digital Image Processing||12|
|6.345[J]||Automatic Speech Recognition||12|
|6.347, 6.348||Advanced Topics in Signals and Systems||12|
|6.374||Analysis and Design of Digital Integrated Circuits||12|
|6.375||Complex Digital Systems Design||12|
|6.434[J]||Statistics for Engineers and Scientists||12|
|6.435||Bayesian Modeling and Inference||12|
|6.436[J]||Fundamentals of Probability||12|
|6.437||Inference and Information||12|
|6.438||Algorithms for Inference||12|
|6.440||Essential Coding Theory||12|
|6.443[J]||Quantum Information Science||12|
|6.450||Principles of Digital Communication||12|
|6.452||Principles of Wireless Communication||12|
|6.453||Quantum Optical Communication||12|
|6.454||Graduate Seminar in Area I||6|
|6.521[J]||Cellular Neurophysiology and Computing 1||12|
|6.522[J]||Quantitative Physiology: Organ Transport Systems||12|
|6.524[J]||Molecular, Cellular, and Tissue Biomechanics||12|
|6.525[J]||Medical Device Design||12|
|6.542[J]||Laboratory on the Physiology, Acoustics, and Perception of Speech||12|
|6.544, 6.545||Advanced Topics in BioEECS||12|
|6.552[J]||Signal Processing by the Auditory System: Perception||12|
|6.555[J]||Biomedical Signal and Image Processing||12|
|6.556[J]||Data Acquisition and Image Reconstruction in MRI||12|
|6.561[J]||Fields, Forces, and Flows in Biological Systems||12|
|6.631||Optics and Photonics||12|
|6.632||Electromagnetic Wave Theory||12|
|6.637||Optical Imaging Devices, and Systems||12|
|6.644, 6.645||Advanced Topics in Applied Physics||12|
|6.690||Introduction to Electric Power Systems||12|
|6.695[J]||Engineering, Economics and Regulation of the Electric Power Sector||12|
|6.720[J]||Integrated Microelectronic Devices||12|
|6.728||Applied Quantum and Statistical Physics||12|
|6.730||Physics for Solid-State Applications||12|
|6.731||Semiconductor Optoelectronics: Theory and Design||12|
|6.732||Physics of Solids||12|
|6.735, 6.736||Advanced Topics in Materials, Devices, and Nanotechnology||12|
|6.774||Physics of Microfabrication: Front End Processing||12|
|6.776||High Speed Communication Circuits||12|
|6.777[J]||Design and Fabrication of Microelectromechanical Systems||12|
|6.780[J]||Control of Manufacturing Processes||12|
|6.820||Foundations of Program Analysis||12|
|6.823||Computer System Architecture||12|
|6.824||Distributed Computer Systems Engineering||12|
|6.828||Operating System Engineering||12|
|6.833||The Human Intelligence Enterprise||12|
|6.835||Intelligent Multimodal User Interfaces||12|
|6.839||Advanced Computer Graphics||12|
|6.840[J]||Theory of Computation||12|
|6.841[J]||Advanced Complexity Theory||12|
|6.842||Randomness and Computation||12|
|6.845||Quantum Complexity Theory||12|
|6.849||Geometric Folding Algorithms: Linkages, Origami, Polyhedra||12|
|6.851||Advanced Data Structures||12|
|6.853||Topics in Algorithmic Game Theory||12|
|6.857||Network and Computer Security||12|
|6.858||Computer Systems Security||12|
|6.860[J]||Statistical Learning Theory and Applications||12|
|6.863[J]||Natural Language and the Computer Representation of Knowledge||12|
|6.864||Advanced Natural Language Processing||12|
|6.865||Advanced Computational Photography||12|
|6.869||Advances in Computer Vision||12|
|6.870||Advanced Topics in Computer Vision||12|
|6.874[J]||Computational Systems Biology: Deep Learning in the Life Sciences||12|
|6.875[J]||Cryptography and Cryptanalysis||12|
|6.876||Advanced Topics in Cryptography||12|
|6.878[J]||Advanced Computational Biology: Genomes, Networks, Evolution||12|
|6.881||Advanced Topics in Artificial Intelligence||12|
|6.882||Advanced Topics in Artificial Intelligence||12|
|6.883||Advanced Topics in Artificial Intelligence||12|
|6.884||Advanced Topics in Artificial Intelligence||12|
|6.885-6.888||Advanced Topics in Computer Systems||12|
|6.889-6.893||Advanced Topics in Theoretical Computer Science||12|
|6.894-6.896||Advanced Topics in Graphics and Human-Computer Interfaces||12|
|6.935[J]||Financial Market Dynamics and Human Behavior||9|
|6.945||Large-scale Symbolic Systems||12|
|6.946[J]||Classical Mechanics: A Computational Approach||12|
BCS Advanced Subjects
|9.016[J]||Acoustics, Production and Perception of Speech||12|
|9.021[J]||Cellular Neurophysiology and Computing 1||12|
|9.073[J]||Statistics for Neuroscience Research 2||12|
|9.123[J]||Neurotechnology in Action||12|
|9.181[J]||Developmental Neurobiology 1||12|
|9.190||Computational Psycholinguistics 1||12|
|9.272[J]||Topics in Neural Signal Processing||12|
|9.285[J]||Audition: Neural Mechanisms, Perception and Cognition||12|
|9.301[J]||Neural Plasticity in Learning and Memory||9|
|9.34[J]||Biomechanics and Neural Control of Movement||12|
|9.422[J]||Principles of Neuroengineering||12|
|9.455[J]||Revolutionary Ventures: How to Invent and Deploy Transformative Technologies||9|
|9.520[J]||Statistical Learning Theory and Applications 1||12|
|9.530||Emergent Computations Within Distributed Neural Circuits 1||12|
|9.583[J]||Functional Magnetic Resonance Imaging: Data Acquisition and Analysis||12|
|9.601[J]||Language Acquisition I||9|
|9.660||Computational Cognitive Science 1||12|
|9.822[J]||Psychology and Economics||12|
Mathematics Restricted Electives
|Introduction to Inference 1|
|Introduction to Probability 1|
|Fundamentals of Probability|
|Statistics for Brain and Cognitive Science 1|
|Statistics for Neuroscience Research 2|
|Topics in Neural Signal Processing 2|
|Introduction to Probability and Statistics|
|Probability and Random Variables|
|Fundamentals of Statistics|
|Mathematics for Computer Science 1|
|Principles of Discrete Applied Mathematics|
|Linear Algebra 1|
|Complex Variables with Applications|
|Methods for Scientists and Engineers|
|Statistical Physics I|
|Computational Science and Engineering I|
|Computational Science and Engineering II|
|Introduction to Numerical Analysis|
|Theory of Numbers|
Departmental funding for the MEng program is not guaranteed. However, students may apply for funding from two sources: teaching assistantships and research assistantships. Students will have the opportunity to apply for funding before they begin the MEng program. Full-time TA or RA assistantships pay a monthly stipend, full tuition and health insurance. Students with TAships should expect to work approximately 20 hours a week on teaching. Students may request funding as a research assistant from their thesis supervisor, however, RA support for MEng students is not common.
Information regarding teaching assistantships including the application process can be found here.
Students with a full-time TAship or RAship may only register for two 12 unit subjects in addition to 12 units of thesis credit and 12 units of assistantship credit. Students holding a half- TAship or half-RAship may register for an additional class. Because students receive credit for their thesis work as well as TAships and RAships, they are registered for 48 to 60 units each term.
Term limits: MEng students are only eligible for RAships and TAships during their first three regular semesters (summers are excepted) as a graduate student. If a student has been a graduate TA at least once or has unusual circumstances that have delayed progress on the thesis or classes, the student may request one additional term (a fourth term) of support eligibility.
When is the best term to become a graduate student?
Students in the MEng program have to transition from being an undergraduate to being a graduate student at some point before they graduate. Specifically, they must be registered as a graduate student prior to their last regular semester in the MEng program.
With a source of graduate funding and sufficient progress with requirements, students will often choose to become a graduate student in the fourth year (eighth term). Not all of the requirements for the undergraduate degree have to be completed in order to become an MEng student. Students must have at least 180 units beyond the GIRs with at least 15 of the GIRs completed to become a graduate student. In order to earn an MEng, students must be a full-time graduate student for at least one regular semester (not counting summer term or IAP) to earn the degree. Some students may opt to become graduate students after the start of the fifth year due to funding or to finish undergraduate requirements. Students typically only have six subjects left to complete for the bachelor's and master's degrees when becoming a graduate student.
How do Thesis Units work?
Thesis units work differently than for other subjects. Students must register for 12 units of 6.THM in each graduate term until their thesis is submitted. However, only 24 units will affect their grade point average (the thesis receives a letter-grade).
How does the Thesis Proposal work?
Students are encouraged to find the subject of their MEng thesis during their junior or senior year. Often student’s thesis research builds on prior UROP or SuperUROP projects. Students register for 6.THM during the summer term or fall semester of their graduate year. Students are encouraged to submit a thesis proposal after determining the scope of their research project with their supervisor. Proposals are due during the first semester of the MEng program and will serve as a point of departure for the thesis work.
What are the Subject Requirements?
It is necessary to fulfill the requirements of and receive the 6-9 degree along with, or before, the MEng degree. The MEng requires two BCS advanced subjects, two EECS advanced subjects, two math restricted electives along with the Master's thesis.
How much progress on the MEng is required each term?
MEng students are expected to make progress on their theses each term and are expected to take at least one class (if needed) each term. Students are encouraged to take courses and work on the thesis simultaneously, in order to ensure timely completion of the degree.
What are Buckets?
Buckets refer to the categorization of subjects as fulfilling requirements for the students undergraduate or graduate degree.To graduate with MEng students must have 66 units, plus thesis units, in their graduate program. At the same time they must have completed all of the requirements of the 6-9 undergraduate program. This means that students will have roughly 474 total units (17 GIRS = 204, 180 units beyond the GIRs, 66 units in the grad program, plus a minimum of 24 thesis units = 474 units).
What are the Support and Enrollment Limits?
MEng students can not have RA and TA support beyond their first three regular terms (not including summer). Students may petition for one additional term of support if they have served as a TA for one semester or have other extenuating circumstances.
What are the Academic Requirements for the MEng?
MEng graduate students must maintain a 4.0 gpa and must earn grades that are a B- or better in all courses. Students must also make continual progress towards their thesis each term. Students who do not meet these requirements may receive warning letters from the Office of the Vice Chancellor and may not be permitted to complete the program.