51视频 Pathway for Civil Engineering, Transportation Engineering Option
| Core Courses (Select 3 courses; those not chosen can be used as electives) | ||
|---|---|---|
| Course Number | Course Name | Credits |
| Total | 9 | |
| CIVE.5400 | Urban Transportation Planning聽 | 3 |
| CIVE.5410 | Traffic Engineering | 3 |
| CIVE.5420 | Transportation Network Analysis | 3 |
| CIVE.5480 | Traffic Management and Control | 3 |
| CIVE.5490 | Traffic Flow and Emerging Transportation Technologies | 3 |
| Elective Courses (Choose 7 total) | ||
|---|---|---|
| Course Number | Course Name | Credits |
| Total | 21 | |
| CIVE.5415 | Hazardous Materials Transportation | 3 |
| CIVE.5405 | Advanced Highway Geometric Design | 3听 |
| CIVE.5430 | Traffic Principles for Intelligent Transportation Systems | 3 |
| CIVE.5440 | Transportation Economics and Project Evaluation | 3 |
| CIVE.5450 | Public Transit Planning and Design | 3 |
| CIVE.5460 | Pavement Design | 3 |
| CIVE.5470 | Airport Planning and Design | 3 |
| CIVE.5760 | GIS Applications in Civil and Environmental Engineering聽 | 3 |
| CIVE.5810 | Engineering Systems Analysis | 3 |
| CIVE.5850 | Transportation Safety | 3 |
Note. Other than the above listed elective courses, students may take courses from other appropriate disciplines such as engineering, management, computer science and mathematics as electives after consultation with a faculty advisor and with the approval of the Department. A few examples are:
- Engineering: CIVE.5210 Reliability Analysis in Engineering; MECH.5760 Engineering Project
- Management; CHEN.5390 Mathematical Methods for Engineers Management: MIST.6030 Database Management; MIST.6170 Advanced Machine Learning; MIST.7060 Data Analytics; MIST.6160 Advanced Data Mining; MIST.6060 Business Intelligence and Data Mining; POMS.4050 Predictive Data Analytics; POMS.6220 Decision Analytics
- Math and Science: COMP.5730 Data Base I; COMP.5450 Machine Learning; MATH.5910 Linear Statistics Modeling and Regression; MATH.5750 Applied Statistics with R; MATH.5500 Mathematical Modeling; COMP.4200 Artificial Intelligence; COMP.6040 Network Optimization; MATH.5720 Optimization
- Other: PUBH.6890 Advanced Regression Modeling; BIOL.5071 Data Science for Biologists in Python
Total courses required for the degree = 10
Total credits required for degree = 30
Updated 9/4/25