Master of Science in Civil Engineering
The Master of Science in Civil Engineering program is a coursework and research-based degree program, requiring a written master's thesis. Students must specialize in one of three technical areas: construction, structural, or transportation engineering. Degree candidates must complete a minimum of 32 credit hours, 6 to 8 of which are for research and thesis credits. Up to 12 credit hours of 400-level undergraduate coursework (except CAE 431and CAE 432) may be included in the M.S. program with prior adviser approval. An oral defense of the thesis constitutes the comprehensive examination, and no additional written comprehensive examination is required.
Curriculum
Construction Engineering and Management
Code | Title | Credit Hours |
---|---|---|
Required Courses | (12) | |
CAE 570 | Legal Issues in Civil Engineering | 3 |
CAE 571 | Lean Construction and Control | 3 |
CAE 574 | Economic Decision Analysis in Civil Engineering | 3 |
CAE 577 | Construction Equipment Management | 3 |
Elective Courses | (12-14) | |
Select 12-14 credit hours 1 | 12-14 | |
Thesis Research | (6-8) | |
CAE 591 | Research and Thesis for M.S. Degree | 6-8 |
Minimum degree credits required: 32
- 1
The majority of elective courses should be taken in CAE. Courses from other disciplines including ARCH, EMGT, MMAE, or others are also acceptable with advisor approval.
STRUCTURAL ENGINEERING
Code | Title | Credit Hours |
---|---|---|
Required Courses | (12) | |
CAE 503 | Advanced Structural Analysis | 3 |
CAE 518 | Advanced Reinforced Concrete | 3 |
CAE 525 | Advanced Steel Structures | 3 |
CAE 529 | Dynamics of Structures | 3 |
Major Elective Courses | (9) | |
Select 9 credit hours from the list of courses below 1 | 9 | |
Bridge and Structural Design | 3 | |
Introduction to Wind and Earthquake Engineering | 3 | |
Structural Analysis II | 3 | |
Experimental Analysis of Structures | 3 | |
Design of Masonry and Timber Structures | 3 | |
Homeland Security Concerns in Engineering Systems | 3 | |
Building Envelope Rehabilitation | 3 | |
Advanced Bridge Engineering | 3 | |
Mathematical Methods for Structural Engineering | 3 | |
Structural Forensic Engineering | 3 | |
Structural Model Analysis | 4 | |
Statistical Analysis of Engineering Data | 3 | |
Finite Element Method of Analysis | 3 | |
Nonlinear Finite Element Analysis | 3 | |
Homeland Security Concerns in Building Designs | 3 | |
Prestressed Concrete | 3 | |
Structural Reliability and Probabilistic Bases of Design | 3 | |
Seismic Design of Building and Bridge Structures | 3 | |
General Elective Course | (3) | |
Select up to 3 credit hours of general elective 2 | 3 | |
Thesis Research | (6-8) | |
CAE 591 | Research and Thesis for M.S. Degree | 6-8 |
Minimum degree credits required: 32
- 1
Course substitutions can be made with advisor approval.
- 2
General electives can be taken from the major electives list or other courses in CAE, ARCH, EMGT, MMAE, or other disciplines with advisor approval.
Transportation Engineering
Code | Title | Credit Hours |
---|---|---|
Required Courses | (12-13) | |
Select a minimum of four courses from the following (with adviser consent): | 12-13 | |
Statistical Analysis of Engineering Data | 3 | |
Demand Models for Urban Transportation | 3 | |
Urban Transportation Planning | 4 | |
Public Transportation Systems | 3 | |
Transportation Systems Management | 3 | |
Transportation Systems Evaluation | 3 | |
Systems Analysis in Civil Engineering | 3 | |
Statistical Models and Methods | 3 | |
Thesis Research | (6-8) | |
CAE 591 | Research and Thesis for M.S. Degree | 6-8 |
Elective Courses | (12-14) | |
Select 12-14 credit hours from the following: 1 | 12-14 | |
Introduction to Transportation Engineering and Design | 3 | |
Asphalt and Concrete Mix Design | 3 | |
Pavement Evaluation and Management | 3 | |
Traffic Operations and Flow Theory | 3 | |
Advanced Traffic Engineering | 3 | |
Transportation Economics, Development and Policy | 3 | |
Transportation Asset Management | 3 | |
Economic Decision Analysis in Civil Engineering | 3 | |
Intelligent Transportation Systems | 3 | |
Algorithms in Transportation | 3 | |
Mathematical Modeling | 3 | |
Stochastic Processes | 3 | |
Mathematical Statistics | 3 | |
Regression | 3 | |
Monte Carlo Methods | 3 | |
Data Preparation and Analysis | 3 | |
Bayesian Computational Statistics | 3 |
Minimum degree credits required: 32
- 1
Other courses are allowed but are subject to adviser approval.