Master of Science in Civil Engineering

The Master of Science in Civil Engineering program is oriented toward students who wish to develop more knowledge in the planning, programming, design, construction, and operations management of our built and natural environments and the civil infrastructure and systems that make society possible. Students must select one area of specialization: structural engineering or transportation and infrastructure systems engineering. 

There are two degree options: coursework-based (no research or thesis required) and thesis-based (coursework coupled with research and thesis required).

Students with a variety of academic backgrounds are eligible to apply for the program, including those with undergraduate degrees in engineering disciplines (e.g., civil, chemical, electrical, industrial/systems, or mechanical engineering) and also non-engineering but related disciplines. All admitted students are expected to have completed undergraduate coursework or equivalent in mathematics through differential equations. Students in the structural engineering specialization are expected to have a foundation in undergraduate structural engineering coursework. Students in the transportation and infrastructure systems engineering specialization are expected to have a foundation in undergraduate civil, urban/infrastructure systems, and transportation engineering coursework. If students have not completed relevant undergraduate coursework, they may be required to take proficiency courses in their first year of study or in the summer before their first year of study. Each applicant will be evaluated on a case-by-case basis during the application review process to determine any proficiency course requirements.

Curriculum

Degree Options

The Master of Science in Civil Engineering program has two degree options:

  • Coursework-based: For students who wish to prepare for professional practice in civil engineering, all credit hour requirements are fulfilled by coursework. No research or thesis is required.
  • Thesis-based: For students who wish to prepare for professional practice and/or a research-based career in civil engineering, credit hour requirements are fulfilled by a combination of coursework and research and thesis credits (CAE 591) earned for conducting mentored research and completing a master's thesis and oral thesis defense.

For both degree options, up to 12 credit hours of 400-level courses can be applied to the program.

Degree Requirements

Students must select one area of specialization among:

  • Structural Engineering
  • Transportation and Infrastructure Systems Engineering

Structural Engineering  

Required Courses (12)
CAE 503Advanced Structural Analysis3
CAE 518Advanced Reinforced Concrete3
CAE 525Advanced Steel Structures3
CAE 529Dynamics of Structures3
Major Electives (9)
Select a minimum of 9 credit hours from the following: 19
Bridge and Structural Design3
Introduction to Wind and Earthquake Engineering3
Structural Analysis II3
Bridge Evaluation and Management3
Experimental Analysis of Structures3
Design of Masonry and Timber Structures3
Homeland Security Concerns in Engineering Systems3
Building Envelope Rehabilitation3
Advanced Bridge Engineering3
Mathematical Methods for Structural Engineering3
Structural Forensic Engineering3
Structural Model Analysis4
Statistical Analysis of Engineering Data3
Finite Element Method of Analysis3
Nonlinear Finite Element Analysis3
Homeland Security Concerns in Building Designs3
Prestressed Concrete3
Structural Reliability and Probabilistic Bases of Design3
Seismic Design of Building and Bridge Structures3
Special Problems0-4
General Electives (3)
Select up to 3 credit hours of general electives 23
Additional Electives or Thesis Research Credits (6)
Select 6 credit hours from the following depending on degree option:6
Coursework-based:
Select additional 6 credit hours of major or general electives 2
6
Thesis-based:
Research and Thesis for M.S. Degree6
Total Credit Hours30
1

Course substitutions can be made with advisor approval. Up to 12 credit hours of 400-level courses can be applied to the program.

2

General electives are 400- or 500-level courses from the major electives list or other courses in CAE, ARCH, EMGT, MATH, MMAE, or other disciplines with advisor approval

Transportation and Infrastructure Systems Engineering 

The Transportation and Infrastructure Systems Engineering specialization has an optional concentration in Artificial Intelligence, described below.

Required Courses (9)
Select a minimum of 9 credit hours from the following:9
Statistical Analysis of Engineering Data3
Statistical Models and Methods
Urban Transportation Planning3
Public Transportation Systems3
Transportation Systems Evaluation3
Transportation Asset Management3
Systems Analysis in Civil Engineering3
Intelligent Transportation Systems3
Algorithms in Transportation3
Major Electives (15)
Select a minimum of 15 credit hours from the required course list above or from the following course list: 115
Facility Design of Transportation Systems3
Railroad Engineering and Design3
Introduction to Transportation Engineering and Design3
Probability Concepts in Civil Engineering Design3
Homeland Security Concerns in Engineering Systems3
Introduction to Building Information Modeling3
Advanced Bridge Engineering3
Structural Forensic Engineering3
Introduction to Geographic Information Systems3
Introduction to Geographic Information Systems
Demand Models for Urban Transportation3
Traffic Operations and Flow Theory3
Advanced Traffic Engineering3
Transportation Systems Management3
Transportation Economics, Development and Policy3
Construction Methods, Cost Estimating, and Project Budgeting3
Construction Methods and Cost Estimating
Legal Issues in Civil Engineering3
Construction Management with Building Information Modeling3
Economic Decision Analysis in Civil Engineering3
Stormwater Management3
Special Problems 20-4
Global Environmental Change and Sustainability Analysis3
Global Environmental Change and Sustainability Analysis
Modeling of Environmental Systems3
Probability and Statistics3
Design and Analysis of Experiments3
Mathematical Modeling3
Stochastic Processes3
Mathematical Statistics3
Regression3
Monte Carlo Methods3
Advanced Design of Experiments3
Data Preparation and Analysis3
Bayesian Computational Statistics3
Concentration in Artificial Intelligence (Optional) (0)
Replace 9 of the required 15 credit hours of major electives with courses list below:
Data Mining3
Introduction to Algorithms3
Advanced Data Mining3
Combinatorial Optimization3
Game Theory: Algorithms and Applications3
Deep Learning3
Reinforcement Learning3
Topics in Machine Learning3
Machine Learning3
Artificial Intelligence and Edge Computing3
Machine and Deep Learning3
Object-Oriented Programming and Machine Learning3
Methods and Applications of Deep Learning3
Additional Electives or Thesis Research Credits (6)
Select 6 credit hours from the following depending on degree option:6
Coursework-based:
Select additional 6 credit hours of major electives
6
Thesis-based:
Research and Thesis for M.S. Degree6
Total Credit Hours30
1

Course substitutions can be made with advisor approval. Up to 12 credit hours of 400-level courses can be applied to the program.

2

CAE 597 cannot be applied toward the major elective requirements for the thesis option.