Master of Engineering in Transportation Engineering
The Master of Engineering in Transportation Engineering is a coursework-only, professionally-oriented degree program that permit a concentration in preparation for engineering practice. With a Master of Engineering in Transportation Engineering degree, a student will be a qualified transportation planner, traffic engineer, and traffic safety engineer. Additionally, the student will be trained to understand and evaluate the socioeconomic impacts of transportation and infrastructure engineering projects. Up to 12 credit hours of 400-level undergraduate coursework may be included in the program with prior adviser approval. No thesis or comprehensive examination is required for completion of the degree.
Curriculum
| Code | Title | Credit Hours |
|---|---|---|
| Required Courses | (9-10) | |
| Select a minimum of three courses from the following with adviser consent: | 9-10 | |
| 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 | |
| Elective Courses | (20-21) | |
| Select 20-21 credit hours from the following: 1 | 20-21 | |
| Facility Design of Transportation Systems | 3 | |
| Railroad Engineering and Design | 3 | |
| Introduction to Transportation Engineering and Design | 3 | |
| Probability Concepts in Civil Engineering Design | 3 | |
| Advanced Bridge Engineering | 3 | |
| Introduction to Geographic Information Systems | 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 | |
| Special Problems | 0-3 | |
| Mathematical Modeling | 3 | |
| Stochastic Processes | 3 | |
| Mathematical Statistics | 3 | |
| Applied Statistics | 3 | |
| Monte Carlo Methods in Finance | 3 | |
| Data Preparation and Analysis | 3 | |
| Bayesian Computational Statistics | 3 | |
Minimum degree credits required: 30
- 1
If more than three courses from the required courses list are taken, those additional courses can be applied as electives
