Fred K. Boadu
boadu@duke.eduCEE Director of Master’s Studies, Associate Professor of Civil & Environmental Engineering
Graduate Study Tracks
Customize your degree to fit your career goals
Students in Duke CEE’s doctoral (PhD) and Master of Science (MS) degree programs may choose from five engineering study tracks—each one aligned with faculty research interests.
Computational Mechanics & Scientific Computing
Duke Engineering has unique facilities and world-renowned faculty working in this critical and fast-developing topic.
Our students receive premier training in mechanics, applied mathematics and computer science.
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Select at least five (5) courses, with at least one (1) in each of four principal areas:
Mathematics
- Math 531. Basic Analysis I
- Math 541. Applied Stochastic Processes
- Math 551. Applied Partial Differential Equations and Complex Variables
- Math 561. Scientific Computing I
- Math 635. Functional Analysis
- CEE 690. Mathematical Analysis of the Finite Element Method
Numerical Methods
- CEE 530. Introduction to the Finite Element Method
- CEE 531. Finite Element Methods for Problems in Fluid Mechanics
- CEE 630. Nonlinear Finite Element Method
- CEE 690. Numerical Optimization
Computer Science
- CS 201. Data Structures and Algorithms
- CS 308. Software Design
- ECE 551D. Programming, Data Structures, and Algorithms in C++
Engineering Sciences & Mechanics
- CEE 520. Continuum Mechanics
- ME 531. Thermodynamics
- ME 555. Computational Materials Science
- ME 631. Intermediate Fluid Dynamics
- ME 632. Advanced Fluid Dynamics
Environmental Health Engineering
Protect human health by monitoring, predicting and managing our impact on air, water and more.
Our students benefit from our research relationships with the Nicholas School of the Environment at Duke.
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MS students may substitute a core area course with another course in that area and should obtain permission from the Director or Assistant Director of Master’s Studies prior to enrollment.
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PhD students can modify their course plan from these guidelines and should consult with their PhD exam committee chair.
Note that PhD students will be tested on their proficiency in the core areas during their exams.
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Select at least five (5) courses, with at least one (1) course in each of three core areas.
Core Areas
Chemical Principles
- CEE 561L: Environmental Aquatic Chemistry – Fall
- CEE 563: Chemical Fate of Organic Compounds – Fall
Physical Processes
- CEE 560: Environmental Transport Phenomena – Fall
- CEE 5XX/690. Hydrology – Spring
Microbiological Principles
- CEE 566: Environmental Microbiology – Fall
- CEE 562L: Biological Processes in Environmental Engineering – Spring
Additional Electives
- CEE 501: Applied Mathematics for Engineers – Occasional
- CEE 502: Engineering Data Analysis – Occasional
- CEE 530: Finite Elements Methods
- CEE 564: Physical and Chemical Treatment Processes in Environmental Engineering – Spring
- CEE 565: Environmental Analytical Chemistry – alt. Spring
- CEE 574: Remote Sensing – odd Fall semesters
- CEE 575/690: Air Pollution Engineering – Fall
- CEE 581: Numerical Methods in Environmental Transport – Spring
- CEE 643: Engineering and Environmental Geophysics – Fall/Spring
- CEE 661L: Environmental Molecular Biotechnology – Spring
- CEE 666: Aquatic Geochemistry – Spring
- CEE 667: Chemical Transformations of Environmental Contaminants – alt. Spring
- CEE 683: Groundwater and Vadose Zone Hydrology – alt. Fall
- CEE 684: Hydrometeorology and Land-Atmosphere Interactions – even Fall
- CEE 686: Ecohydrology – occasional
- CEE 690: Introduction to Turbulence – Fall
- CEE 690: Numerical Optimization – odd Spring Semesters
- CEE 690: Modeling of Environ., Chem., and Biol. Processes – Fall
- CEE 690. Risk and Resilience in Engineering – odd Fall & odd Spring
- CEE 690: Data Science and Machine Learning in Applied Science and Engineering – Fall
- CEE 690: Introduction to Deep Learning – Fall
- CEE 690: Environmental Cheminformatics – alt. Fall
- ENVIRON 501: Environmental Toxicology – Fall
- ENVIRON 710: Applied Data Analysis in Environmental Sciences – Fall (limited enrollment)
- CEE 761: Environmental Spatial Data Analysis – Fall
- EOS 520: Introduction to Fluid Dynamics – Fall
- BIOL 665: Bayesian Inference for Environmental Models – Spring
- ME 631(226): Intermediate Fluid Mechanics – Fall
- ME 632(227): Advanced Fluid Mechanics – Spring
- PHARM 733: Experimental Design and Biostatistics for Basic Biomedical Scientists – Fall & Spring (limited enrollment)
Geomechanics & Geophysics for Energy & Environment
Kept current, to address applications to new technologies, such as: shale gas and oil, nuclear, industrial and municipal waste disposal, CO2 sequestration, geothermal energy, clean water procurement in arid areas, and more.
Duke CEE has world-renowned faculty working in this area. Our students receive excellent training in applied mechanics, non-invasive methods of characterizing geomaterials, and laboratory and field testing.
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Select at least five (5) courses, with at least one (1) course in each of four principal areas.
Mathematics
- Math 551 Applied Partial Differential Equations and Complex Variables
- Math 557 Introduction to Partial Differential Equations
- Math 561 Scientific Computing I
- Math 577 Mathematical Modeling
Numerical Methods
- CEE 530. Introduction to the Finite Element Method
- CEE 630. Nonlinear Finite Element Method
- CEE 635. Computational Methods for Evolving Discontinuities and Interfaces
Geomechanics and Geophysics
- CEE 525. Wave Propagation in Elastic and Poroelastic Media
- CEE 560. Environmental Transport Phenomena
- CEE 621. Plasticity
- CEE 642. Environmental Geomechanics
- CEE 686. Ecohydrology
Engineering Sciences & Mechanics
- CEE 520. Continuum Mechanics
- ME 531. Thermodynamics
- ME 631. Intermediate Fluid Mechanics
- ME 632. Advanced Fluid Mechanics
Hydrology & Fluid Dynamics
Focuses on open problems such as rainfall dynamics, eco-hydrology, contaminant transport, water cycle dynamics and human health, and stochastic hydrology.
Students benefit from our Duke campus partnerships with the Nicholas School of the Environment, Nicholas Institute for Energy, Environment & Sustainability and Sanford School of Public Policy.
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Select at least six (6) courses , with at least one (1) CEE course in each of five principal areas (except for Applied Math/Statistics):
Applied Math/Statistics
- CEE 501: Applied Mathematics for Engineers
- STA 601(L): Bayesian and Modern Statistics
- STA 611: Introduction to Statistical Methods – Fall
- MATH 551: Applied Differential Equations and Complex variables
- MATH 561: Scientific Computing – Fall
- MATH 577: Mathematical Modeling – alt. Fall
- MATH 660: Introduction to Numerical PDES
- ENVIRON 764: Applied Differential Equations in Environmental Science
Data Science
- CEE 502: Engineering Data Analysis
- CEE 690: Data Science and Machine Learning in Applied Science and Engineering – Fall
- CEE 690: Uncertainty Quantification
- CEE 690: Environmental Spatial Data Analysis – Fall
- CEE 675: Introduction to the Physical Principles of Remote Sensing of the Environment – odd Fall
Environmental Fluid Dynamics
- CEE 690: Environmental Fluid Mechanics and Sediment Transport – Spring
- ME 631: Intermediate Fluid Mechanics – Fall
- ME 632: Advanced Fluid Mechanics – Spring
- CEE 690: Introduction to Turbulence – even Fall
- CEE 690: Advanced Turbulence – odd Fall
Hydrology
- CEE 684: Physical Hydrology and Hydrometeorology – even Fall
- CEE 690: Hydrology – Spring
- CEE 683: Groundwater Hydrology and Vadose Zone Hydrology
- EOS 511: The Climate System
Contaminant Transport Hydrology
- CEE 531: Finite Elements for Fluids
- CEE560: Environmental Transport Phenomena – Fall
- CEE 581: Numerical Methods in Env Transport – Spring
- CEE 683: Groundwater and Vadose Zone Hydrology – even Fall
Systems, Risk & Decision
Receive specialized training in risk assessment, analyzing hazard mitigation technologies, and designing resilient systems—all while deepening expertise your core engineering discipline.
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Select at least five (5) courses, with at least one (1) course in each of three core areas and two (2) in any one application are:
Core Areas
Mathematical Modeling & Optimization
- CEE 690: Numerical Optimization –odd Spring Semesters
- CEE 690: Modeling of Environ., Chem., and Biol. Processes –alt. Falls
- MATH 551: Applied Partial Differential Equations –each Fall
- MATH 555. Ordinary Differential Equations –each Fall
- MATH 561. Numerical Lin. Algebra, Opt. and Monte Carlo Simul. –each Fall
Uncertainty Quantification & Statistical Modeling
- CEE 644. Inverse Problems in Geosciences and Engineering –alt. years
- CEE 690. Risk and Resilience in Engineering –odd Fall & odd Spring
- CEE 690. Uncertainty Quantification –alt. years
- ECE 555. Probability for Electrical and Computer Engineers –each Fall
- STA 502. Bayesian Inference & Decision –Fall & Spring
- STA 561D. Probabilistic Machine Learning –Fall & Spring
- BIOL 665: Bayesian Inference for Environmental Models –each Spring
Valuation, Assessment & Decision Making
- ECON 620. Game Theory with Applications –Fall or Spring
- ENVIRON 520/521. Resource and Environmental Economics –each Fall
- ENVIRON 590. Economic Input-Output Life Cycle Analysis –each Spring
- PUBPOL 607. Cost-Benefit Analysis for Health and Environ. Policy –each Spring
Application Areas
Water & Environment
- CEE 560: Environmental Transport Phenomena –each Fall
- CEE 561: Environmental Aquatic Chemistry –each Fall
- CEE 683: Groundwater Hydrology and Contaminant Transport –even Falls
- CEE 686: Ecohydrology –odd Falls
- CEE 684: Physical Hydrology and Hydrometeorology –odd Falls
Environmental Engineering
- CEE 562. Biological Processes in Environmental Engineering –each Spring
- CEE 563: Fate and Behavior of Organic Contaminants – each Fall
- CEE 564: Physical Chemical Processes in Environ. Engineering – each Spring
- CEE 581: Pollutant Transport Systems – occasional
- CEE 566: Environmental Microbiology – each Fall
Materials & Structures
- CEE 525. Wave Propagation in Elastic and Poroelastic Media – odd Springs
- CEE 520. Continuum Mechanics – even Falls
- CEE 530. Finite Element Analysis – each Fall
Energy Systems
- ENVIRON 711 Energy and the Environment – each Fall
- ENERGY 630: Transportation and Energy – each Fall
- ENERGY 631: Energy Technology and Impact on the Environment – each Spring
- ENERGY 716: Modeling for Energy Systems – each Fall
- ENERGY 729. The Water-Energy Nexus – alt. Springs
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Glossary
- MMO = Mathematical Modeling and Optimization
- UQS = Uncertainty Quantification and Statistical Modeling
- VAD = Valuation, Assessment, and Decision Making
- AA = Application Area
- ELE = Elective
Water & Environment
Fall 1 Spring 1 Fall 2 Spring 2 CEE 690: Modeling of Environ., Chem., and Biol. Processes (MMO) CEE 644. Inverse Problems in Geosciences & Engineer’g (UQS) CEE 684: Physical Hydrology and Hydrometeorology (AA) Elective ECON 530. Resource & Environmental Economics (VAD) Elective (e.g., LAW 320: Water Resources Law) CEE 683: Groundwater Hydrology & Contaminant Transport (AA) Elective Elective (e.g., CEE 675: Remote Sensing of the Environment) Elective (e.g., CEE 686: Ecohydrology) Elective Elective Environmental Engineering
First Fall First Spring Second Fall Second Spring CEE 561: Environmental Aquatic Chemistry (AA) CEE 690. Numerical Optimization (MMO) CEE 560: Environmental Transport Phenomena (AA) Elective CEE 690: Risk and Resilience in Engineering (UQS) PUBPOL 607. Cost-Benefit Analysis for Health & Environ. Policy (VAD) Elective (e.g., CEE 563 Fate and Behavior or Organic Contaminants) Elective Elective (e.g., CEE 564: Physical Chemical Processes in Environ. Eng.) Elective (e.g., CEE 566: Environmental Microbiology) Elective (e.g., CEE 571: Control of Hazardous and Toxic Waste) Elective Materials & Structures
First Fall First Spring Second Fall Second Spring CEE 530. Finite Element Analysis (AA) or CEE 520. Continuum Mechanics (AA)
PUBPOL 607. Cost-Benefit Analysis for Health and Environ. Policy (VAD) Elective MATH 551: Applied Partial Differential Equations (MMO) Elective (e.g., ME 742. Nonlinear Mechanical Vibration) CEE 690. Risk and Resilience in Engineering (UQS) Elective Elective (e.g., ME 527. Buckling of Engineering Structures) Elective Elective (e.g., Math 541. Applied Stochastic Processes) Elective Energy Systems
First Fall First Spring Second Fall Second Spring CEE 690. Risk and Resilience in Engineering (UQS) CEE 690. Numerical Optimization (MMO) Elective (e.g., ECON 527. Regulation and Deregulation in Public Utilities) Elective ENERGY 716: Modeling for Energy Systems (AA) ENVIRON 590. Economic Input-Output Life Cycle Analysis (VAD) Elective (e.g., ENVIRON 717: Markets for Electric Power) Elective Elective (e.g., ENERGY 729. The Water-Energy Nexus) ENERGY 631: Energy Technology and Impact on the Environment (AA) Elective Elective -
- CEE 571: Control of Hazardous and Toxic Waste
- COMPSCI 571: Machine Learning
- COMPSCI 579: Statistical Data Mining
- DECISION 614. Forecasting
- DECISION 611. Decision Models
- ECON 527. Regulation and Deregulation in Public Utilities
- ECON 753. Natural Resource Economics
- ECE 581: Random Signals and Noise
- ECE 585: Signal Detection and Extraction Theory
- ENRGYENV 625. Energy, Markets & Innovation
- ENVIRON 531: Economic Valuation of the Environment
- ENVIRON 539. Human Health & Ecological Risk Assessment
- ENVIRON 640: Climate Change Economic
- ENVIRON 717: Markets for Electric Power
- LAW 590: Risk Regulation
- MATH 541: Applied Stochastic Processes
- MATH 577: Mathematical Modeling
- PUBPOL 504: Counterterrorism Law and Policy
- PUBPOL 505S: National Security Decision Making
- PUBPOL 580S: Water Cooperation and Conflict
- PUBPOL 582: Global Environmental Health: Economics and Policy
- PUBPOL 583S: Energy and U.S. National Security
- PUBPOL 585: Climate Change Economics and Policy
- STA 601: Bayesian and Modern Statistics
- STA 611: Introduction to Modern Statistics
- STA 623: Statistical Decision Theory
Master’s Contacts
PhD Contacts
Note: Course waivers require documentation of previous knowledge and written permission of the CEE Director of Graduate Studies (DGS).