Doctor of Philosophy in Civil and Environmental Engineering

Department of Civil and Environmental Engineering

Program Requirements

Core33-36
Select three subjects from one of the Core Areas listed in the table below.
Breadth Subject 16-12
Unrestricted Electives48-57
Thesis
1.THGGraduate Thesis 2540
Total Units627-645

Note: Students in this program can choose to receive the Doctor of Philosophy or the Doctor of Science in Civil and Environmental Engineering or in another departmental field of specialization. Students receiving veterans benefits must select the degree they wish to receive prior to program certification with the Veterans Administration. 

1

A breadth subject is a subject chosen from outside a student’s main research area, intended to expand their knowledge base, strengthen interdisciplinary thinking, and provide contextual or methodological skills that enhance their primary field of study. CEE recommends 1.976 Graduate Professional Development Seminar but other subjects are acceptable with advisor approval.

2

Thesis units are based on the average duration of the doctoral program (five years) but will vary based on how long the student remains in the program.

Core Areas
Environmental Chemistry
1.76Aquatic Chemistry12
1.83Environmental Organic Chemistry12
1.831Environmental Organic Chemistry12
or 1.84[J] Atmospheric Chemistry
Environmental Fluid Mechanics 1
1.61Transport Processes in the Environment12
1.63[J]Advanced Fluid Dynamics12
1.65Atmospheric Boundary Layer Flows and Wind Energy12
1.69Introduction to Coastal Engineering12
2.25Fluid Mechanics12
12.802Waves, Instability and Turbulence at Small Scales12
Environmental Microbiology
1.87[J]Microbial Genetics and Evolution12
1.89Environmental Microbial Biogeochemistry12
And one of the following subjects:
1.881[J]Genomics and Evolution of Infectious Disease12
6.8710[J]Computational Systems Biology: Deep Learning in the Life Sciences12
7.492[J]Methods and Problems in Microbiology12
Ecology and Evolution 1
1.837Resilience of Living Systems to Environmental Change12
or 12.586 Modeling Environmental Complexity
1.845Introduction to the Terrestrial Carbon Cycle and Ecosystem Ecology12
or 12.849 Mechanisms and Models of the Global Carbon Cycle
1.87[J]Microbial Genetics and Evolution12
or 8.591[J] Systems Biology
1.872[J]Evolutionary and Quantitative Genomics12
1.873Mathematical Modeling of Ecological Systems12
or 1.89 Environmental Microbial Biogeochemistry
1.881[J]Genomics and Evolution of Infectious Disease12
Hydrology
1.61Transport Processes in the Environment12
1.65Atmospheric Boundary Layer Flows and Wind Energy12
1.713[J]Land-Atmosphere Interactions12
1.714Surface Hydrology12
1.72Groundwater Hydrology12
1.723Computational Methods for Flow in Porous Media12
Geotechnics/Geomechanics
1.361Advanced Soil Mechanics9
And two of the following subjects:
1.364Advanced Geotechnical Engineering9
1.38Engineering Geology12
1.72Groundwater Hydrology12
Mechanics and Materials
Select one subject from each concentration, with at least one from CEE:
Concentration 1: Fundamentals
Engineering Mechanics
Structural Dynamics
Concentration 2: Computation
Engineering Computation and Data Science
Advancing Mechanics and Materials via Machine Learning
Atomistic Modeling and Simulation of Materials and Structures
Concentration 3: Specialization
Advanced Soil Mechanics
Mechanics and Design of Concrete Structures
Topology Optimization of Structures
Solid Mechanics: Elasticity
Systems Engineering
Select one of the following CEE domain subjects:
Architecting and Engineering Software Systems
Applied Category Theory for Engineering Design
Transportation: Foundations and Methods
Demand Modeling
Resilient Networks
Logistics Systems
Select one subject each from two different methods:
Probability and Statistics
Applied Probability and Stochastic Models
Introduction to Probability
Fundamentals of Probability
Optimization
Introduction to Mathematical Programming
Optimization Methods
Machine Learning
Machine Learning for Sustainable Systems
and Modeling with Machine Learning: from Algorithms to Applications
Machine Learning
Reinforcement Learning: Foundations and Methods
1

At least two subjects must be CEE subjects.