MS - Mechanics, Chemistry, and Materials (MCM)
Our Mechanics, Chemistry, and Materials (MCM) program trains you to model, predict, and engineer complex behaviors in both synthetic and natural materials. These skills empower our you to address pressing societal needs related to climate change, food and water scarcity, and sustainable urban systems. Our program prioritizes the development of deep knowledge hand-in-hand with practical skills.
Program Features
Understanding the interplay between mechanics, chemistry, and materials requires knowledge of fundamental mechanisms underlying deformation, failure, flow, reaction, and transformation. In service of this goal, our students are trained with a strong foundation in the physical sciences, mathematical methods, and numerical methods. Building upon this foundation, as a graduate, you will master advanced topics relevant to your career goals, such as structural mechanics, continuum mechanics, and environmental chemistry.
Practical skills are equally critical for an engineer looking to make a difference. In our program, you also have the opportunity to take courses in areas ranging from computer programming to data science to materials synthesis and characterization. These courses equip you with a broad professional toolkit that serves you well in many career paths.
Our graduates are trained to make an impact. Skills in structural mechanics can launch your career in designing buildings that withstand earthquakes or bridges that age gracefully in a changing climate. Strengths in chemistry can lead to impactful work in environmental remediation, wastewater treatment, or the capture of greenhouse gases. An interest in data-driven materials modeling can translate to innovations in formulating sustainable materials.
Academic Outcomes
The MCM Master's program equips you with the necessary skills to model and predict complex behaviors in both synthetic and natural materials. Our interdisciplinary approach leads to mastery of computational engineering, mathematical modeling, and relevant physical and natural sciences.
We offer the breadth and depth necessary for tackling modern challenges in environmental chemistry or mechanics and materials for civil and environmental applications. Master skills relevant to your career interests in structural engineering, computational materials modeling, environmental fate and transport, data-driven engineering, or uncertainty analysis.
Joining our Master's program will enable you to cultivate the expertise and hands-on skills essential for addressing society's most intricate problems. Harness the power of mechanics, chemistry, and materials to shape a sustainable future.
Mechanics, Materials and Structures Track
- 12-703/24-703 Numerical Methods in Engineering
- 12-704 Probability and Estimation Methods for Engineering Systems
- 12-735 Urban Systems Modeling
- 12-755/24-755 Finite Elements in Mechanics I
- 12-760 Special Topics: Fundamentals of Programming for Engineering Systems
- 12-780 Special Topics: Advanced Python for Infrastructure Systems
- 06-713 Mathematical Techniques in Chemical Engineering
- 12-623/24-623 Molecular Simulation of Materials
- 12-631 Structural Design
- 12-635 Structural Analysis
- 12-636 Geotechnical Engineering
- 12-758 - Special Topics: Intro to Continuum Mechanics, Nonlinear Elasticity, and Structural Mechanics
- 12-767 Continuum Mechanics and Multiscale Modeling
- 12-775/24-751: Introduction to Solid Mechanics I
- 12-782: Special Topics: Elements of Plasticity Theory & Dislocation Mechanics for Materials
- 24-618 Computational Analysis of Transport Phenomena
- 24-628 Energy Transport and Conversion at the Nanoscale
- 24-632 Special Topics: Additive Manufacturing Processing and Product Development
- 24-718 Computational Fluid Dynamics
- 24-753 Special Topics: Robotic Materials: Designs, Principles & Mechanics
Electives
- 06-681 Special Topics: Data Science and Machine Learning in Chemical Engineering
- 06-682 ST: Data Science & Machine Learning in Chemical Engineering: Scientific Software
- 18-645 How to Write Fast Code I
- 18-647 Computational Problem Solving for Engineers
- 18-661 Introduction to Machine Learning for Engineers
- 18-662 Principles and Engineering Applications of AI
- 18-751 Applied Stochastic Processes
- 18-786 Introduction to Deep Learning
Chemistry and Materials Track
Recommended
- 12-703/24-703 Numerical Methods in Engineering
- 12-704 Probability and Estimation Methods for Engineering Systems
- 12-735 Urban Systems Modeling
- 12-755/24-755 Finite Elements in Mechanics I
- 12-760 Special Topics: Fundamentals of Programming for Engineering Systems
- 12-780 Special Topics: Advanced Python for Infrastructure Systems
- 06-713 Mathematical Techniques in Chemical Engineering
- 12-623/24-623 Molecular Simulation of Materials
- 12-651 Air Quality Engineering
- 12-720 Water Resources Chemistry
- 12-724 Biological Wastewater Treatment
- 12-725 Fate, Transport & Physicochemical Processes of Organic Contaminants in Aqua Systems
- 12-726 - Mathematical Modeling of Environmental Quality Systems
- 12-751/19-751/24-626 Air Quality Engineering
- 06-607 Physical Chemistry of Colloids and Surfaces
- 06-801 Colloids, Polymers & Surfaces Laboratory I
- 09-611 Chemical Thermodynamics
- 09-738 Exposure and Risk Assessment for Environmental Pollutants
- 09-724 Environmental Chemistry
Electives
- 06-681 Special Topics: Data Science and Machine Learning in Chemical Engineering
- 06-682 ST: Data Science & Machine Learning in Chemical Engineering: Scientific Software
- 18-645 How to Write Fast Code I
- 18-647 Computational Problem Solving for Engineers
- 18-661 Introduction to Machine Learning for Engineers
- 18-662 Principles and Engineering Applications of AI
- 18-751 Applied Stochastic Processes
- 18-786 Introduction to Deep Learning
Related Education/Research Areas Outside of CEE
Chemical Engineering
- Air quality and climate
- Catalysis and surface science
- Energy, decarbonization, and sustainability
- Soft materials and complex fluids
Materials Science and Engineering
- Advanced material processing and manufacturing
- Computation and informatics
- Soft and bioactive materials
- Sustainable energy production, conversion, and storage
Mechanical Engineering
- Advanced manufacturing
- Computational engineering
- Energy and environment
- Micro-/nano-engineering
Chemistry
- Atmospheric, green, and environmental chemistry
- Materials and nanoscience
- Physical, analytical, and theoretical chemistry
Physics
- Computational physics
- Condensed matter physics
Statistics
- Statistical methods for the physical sciences
- Statistics and machine learning
- Statistical network analysis