College of Engineering, Technology, and Architecture
MS in Civil Engineering
About the Major
The master of science in civil engineering program is a research-oriented program that focuses on the advancement of the fundamental body of knowledge in civil engineering while also fostering the development of skills in design and analysis. This program lets you study an area of interest as part of a graduate thesis. Work towards solving a contemporary problem and become a technical expert. This program is also ideal for those who endeavor to eventually pursue their doctoral degree in an area within engineering. You will be ready to conduct research more analytically and purposefully in the industry and in academia.
The following courses and requirements are recommended for those pursuing the master of science in civil engineering program.
For more information, and to see a complete list of degree requirements, visit the Course Catalog.
- M 515 | Methods of Applied Mathematics I or M 517 | Applied Engineering Statistics
- CE 615 | Graduate Thesis in Engineering
- Electives (see Course Catalog for more information)
Enrolled students may submit a proposal for admittance to the master of science degree program. Contact Laurie Granstrand, Manager of Graduate Programs, for more information.
Below is a list of research thesis topics and projects students in the graduate civil engineering programs have completed.
- Investigation, Analysis, and Rehabilitation of Large Reinforced Concrete Beams for the Original, Deteriorated, and Rebuilt Conditions
- Application of Geographic Information System (GIS) to Pavement Management Systems
- Design of a Chamber for Safe Disposal of PEN Explosive Caps
- Highway Capacity, Traffic Operational Analysis Simulation, and Modeling of Transportation Systems
- Computational Intelligence, Optimization, and Stochastic Process in Transportation Engineering
- Adaptive Traffic Signal Control
- A Fuzzy Logic Based Integrated Interchange Ramp Metering Signal Control
- Evaluation of Fuzzy Logic Based Ramp Metering Algorithms Using Microscopic Traffic Simulation
- Selection of Highway Interchange Types
- Traffic Accident Data Mining Using a Machine Learning Model
- A Survey of Advanced Traveler Information Systems (ATIS)
- Comparison of Capacity Estimations Due to Downstream Link Queues at Signalized Interchanges
Structural Engineering Laboratory
State-of-the-art computational facilities are used for the application of structural design and finite element analysis in structural components.
Transportation Engineering Laboratory
Provides a variety of traffic simulation, planning, and signal control programs for analyzing, evaluating, and designing transportation system components.
Interested in enrolling in the Master of Science in Civil Engineering program under the College of Engineering, Technology, and Architecture (CETA)? Here is what you need to submit your application.