Master of Engineering (MEng)
The Master of Engineering (MEng) degree program is our professional-oriented graduate program. The MEng program consists of high level, fast paced coursework and significant engagement with real world engineering projects, preparing our graduates for a professional career path, or further graduate studies at MIT or elsewhere. This 9 month program, with opportunities for individualized tracks in CEE – prepares our graduates for addressing significant challenges in the domains of Civil and Environmental Engineering.
For current MIT students, the program is a natural extension of the Institute’s 4 year Bachelor of Science degree for students to gain practical experiences and prepare for emerging fields in today’s job market. The MEng program is self-funded. Admitted students are responsible for paying tuition and cost-of-living expenses or securing external fellowships. MIT’s Office of Graduate Education maintains a helpful database of such fellowships on their website.
Summary of Requirements
The Master of Engineering degree is awarded to students who have satisfactorily completed a structured program of at least 90 units, consisting of 66 units graduate level subjects, and a 24 unit thesis approved by the department. In one academic year, the students are required to take:
- Four graduate subjects offered by the Department of Civil and Environmental Engineering, totaling at least 48 units
- Two elective subjects, possibly offered by other MIT departments, totaling at least 18 units
- MEng Thesis, equivalent to 24 units
What do students do with their degree?
Graduates of the MEng Program go on to careers as leaders in industry, government, consulting, and some pursue further graduate education.
MEng Track Descriptions and Requirements
Climate, Environment, and Sustainability (CES) Track
Within the Climate, Environment and Sustainability (CES) track of the MEng degree program, students take coursework to develop their understanding of CES and pursue research on CES topics across the breadth of civil and environmental engineering (e.g. ecological systems, air pollution, food, energy). Read our article to learn more about this track.
Coursework: Within the Climate, Environment, and Sustainability track, students must select 3 of the following subjects:
- 1.65 Atmospheric Boundary Layer Flows and Wind Energy
- 1.670[J] Energy Systems for Climate Change Mitigation
- 1.771 Global Change Science
- 1.800 Environmental Chemistry
- 1.811[J] Environmental Law, Policy, and Economics: Pollution Prevention and Control
- 1.845 Introduction to the Terrestrial Carbon Cycle and Ecosystem Ecology
- 1.861 Physics of Renewable Energy Systems and Computational Analysis
- 1.C51 and 6.C51 Machine Learning for Sustainable Systems
Data Science for Engineering Systems (DSES) track
Within the Data Science for Engineering Systems (DSES) track of the MEng degree program, students gain expertise in data science and computational modeling tools for improving the sustainability and resilience of next generation societal-scale infrastructure systems. Students pursue curriculum, research and specialized training that prepare them for careers in sustainable and resilient design of energy systems, materials and structures, supply chains, and urban systems. Learn more, download our information sheet.
In the Data Science for Engineering Systems track, there are two focus areas of concentration for students to choose based on their interests: Computational Modeling and Design for Sustainability or Resilient Infrastructure Systems and Services.
Coursework: Within the DSES track, students must take 48 units in the Department of Civil and Environmental Engineering including:
6 units of project studio. Project studio class combines work in the lab with MIT faculty and seminars conducted by industry partners. Students will also receive guidance on data acquisition, analysis and computational modeling tools.
18 units of CEE-centric data science from the following subjects:
- 1.275 Business and Operations Analytics
- IDS.131 Statistics, Computation, Analytics
- 6.C51 Modeling with Machine Learning: from Algorithms to Applications + 1.C51 Machine Learning for Sustainable Systems (must be taken and completed simultaneously)
- 1.121 Advancing Mechanics and Materials via Machine Learning
- 1.125 Architecting and Engineering Software Systems
24 units of CEE offered subjects in Computational Modeling and Design for Sustainability:
- 1.545 Atomistic Modeling and Simulation of Materials and Structures
- 1.579 Materials in Agriculture, Food Security, and Food Safety
- 1.61 Transport Processes in the Environment
- 1.65 Atmospheric Boundary Layer Flows and Wind Energy
- 1.147 Startup Sustainable Tech
- 1.723 Computational Methods for Environmental Flows
- 1.631 Fluids and Diseases
Or
24 units of CEE offered subjects in Resilient Infrastructure Systems and Services:
- 1.208 Resilient Networks
- 1.260 Logistics Systems
- 1.303 Infrastructure Design for Climate Change
- 1.581 Structural Dynamics
- 1.583 Topology Optimization of Structures
- 1.200 Transportation: Foundations and Methods
- 1.202 Demand Modeling
- 1.266 Supply Chain and Demand Analytics
- 1.263 Urban Last-Mile Logistics
Structural Mechanics and Design (SMD) Track
Within the Structural Mechanics and Design track of the MEng degree program, students pursue curriculum and research in areas including structural engineering mechanics, computational design and optimization, and collaborative workflows at the interface of engineering and architecture. Take a peek inside the SMD track by watching a three minute video.
Coursework: Within the Structural Mechanics and Design track, two of the four CEE subjects must include 1.562 Structural Design Project I (Fall) and 1.563 Structural Design Project II (Spring)
The Master of Science (SM) & Doctor of Philosophy (PhD)
The Master of Science (SM) and Doctor of Philosophy (PhD) are the research focused graduate degrees in the department of Civil and Environmental Engineering (CEE). Each SM and PhD graduate student in our department is matched with one of our faculty members to work together on the research component of the graduate degree.
Connecting graduate students through research interests with faculty and offering the opportunity for advanced course work is a combination that produces highly successful graduates that emerge as leaders in their fields.
With broad areas of study, we offer students the opportunity to pursue educational goals – through research and course work that is exciting and motivating to you.
The Areas of Study Include:
- Environmental Chemistry
- Environmental Fluid Mechanics
- Ecology and Evolution
- Hydrology and Hydroclimatology
- Systems Engineering including Networks and Transportation
- Materials, Structures and Geomechanics
Degree Requirements
Master of Science
The Master of Science degree is awarded to students who have satisfactorily completed a program of study of at least 66 units of graduate level subjects, approved by the department in which s/he is enrolled, and a 24 unit thesis approved by the department.
Summary of Requirements
- 66 units of graduate level subjects, of which 34 units are offered by the Department
of Civil and Environmental Engineering - SM Thesis
Doctor of Philosophy
The Doctor of Philosophy degree is awarded to students who have satisfactorily completed a doctoral program in CEE consisting of 96 units of graduate level coursework, including a 3-Subject Core and one breadth subject. The 3-Subject Core reflects core knowledge in the student’s chosen field. The remainder of the doctoral program consists of graduate subjects that complement the Core.
Summary of Requirements
- 96 units of graduate level subjects, including a three Subject Core and one breadth subject
- Successful completion of the general exam at the end of academic year 2
- Successful completion of the PhD proposal
- PhD Thesis
What do students do with their research degree?
Graduates from our SM and PhD degree tracks go on to top jobs as engineers, faculty members at eminent universities, engineering consultants, leaders for NGOs, and entrepreneurs.
Interdepartmental Program in Transportation (SM and PhD)
Master of Science in Transportation
The interdepartmental Master of Science in Transportation (MST) degree program emphasizes the complexity of transportation and its dependence on the interaction of technology, operations, planning, management and policy-making. For this reason, the Master of Science in Transportation program is interdepartmental. Faculty members and research staff from several centers, departments and divisions within MIT are affiliated with the program and serve as research advisors and mentors to MST students.
Summary of Requirements:
- 66 units of graduate level subjects consisting of:
- Core
- 1.200 Transportation: Foundations and Methods
- Select one
- 1.202 Demand Modeling
- 1.208 Resilient Networks
- 6.7260 Network Science and Models
- 1.260 Logistics Systems
- 11.478 Behavioral Science, AI, and Urban Mobility
- 11.251 Frontier of Transportation Research
- Computation/Analytics
- 6.C51 Modeling with Machine Learning: from Algorithms to Applications + 1.C51 Machine Learning for Sustainable Systems
- 6.3732 Statistics, Computation, and Applications
- 6.7910/9.520 Statistical Learning Theory and Applications
- 6.7900 Machine Learning
- 15.071 The Analytics Edge
- 15.072 Advanced Analytics Edge
- Policy and Technology: select subject in consultation with advisor (9-12 units)
- Individually designed program from MST program areas (15-18 units)
- MST Thesis, equivalent to 24 units
Interdepartmental Doctoral Program in Transportation
The interdepartmental Doctoral Program in Transportation provides a structured and direct follow-on doctoral program for students enrolled in the MST program or other transportation-related master degree programs at MIT or elsewhere. The interdepartmental structure of the program allows students greater flexibility in developing individual programs of study that cross both disciplinary and departmental lines. The program is administered by the transportation faculty through the Transportation Education Committee (TEC), who are responsible for admissions, establishment and oversight of program requirements, and conduct of the general examination and thesis defense.
Summary of Requirements:
- 120 units of graduate level subjects, including a doctoral core program, consisting of two subject areas as selected by the student
- Successful completion of the general exam by the end of academic year 2
- Successful completion of the PhD proposal
- PhD Thesis, equivalent to 24 units
Both the interdepartmental Master of Science in Transportation and the interdepartmental Doctoral Program in Transportation are administered through the department of Civil and Environmental Engineering.
Joint and Dual Degrees
The joint and dual degrees listed below stemmed from a formal arrangement between an MIT department and another program affiliated with MIT. CEE participates in four such degree programs.
WHOI: Woods Hole Oceanographic Institution
Through MIT’s agreement with the WHOI the department of Civil and Environmental Engineering we have several outstanding students who participate in this joint program, often times splitting their time between MIT’s and WHOI’s campuses.
Please visit the MIT-WHOI joint program website to learn more about the fields of study.
CSE: PhD Program in Computational Science and Engineering
The PhD Program in Computational Science and Engineering (CSE) is a collaboration of CEE and the Center for Computational Engineering. The CSE Doctoral Program allows CEE students to specialize in a computation-related field of their choice through focused coursework and a Doctoral Thesis, and to participate in a multi-departmental program by satisfying a set of computation-specific requirements.
LGO: Leaders for Global Operations
Leaders for Global Operations(LGO) is a collaboration of MIT’s School of Engineering and Sloan School of Management. Students earn both an MBA and SM in two years. Please visit the LGO in Civil and Environmental Engineering website to learn about the different CEE tracks.
Learn more about the LGO application process.
