Skip to main content

Transportation Engineering, Ph.D. requirements

Degree requirements

RequirementsCredits
Credits from Master’s Degree30
Additional coursework24 (54 total required; can include up to 3 seminar credits;
and up to 3 CEE 600 credits if CEE 600 project is unrelated
to thesis / dissertation topics)
CEE 800 Dissertation27 minimum
Total 90

Notes and general requirements

  • The Ph.D. program plan must be approved by your faculty advisor and submitted to the CEE Graduate Advising Office before the end of your first academic quarter.
  • The following courses are required:
    • CET 502/599 Research Methods in Transportation
    • CET 511 Planning for People and Freight
    • CET 512 Transportation Data Collection
    • CET 513 Transportation Networks and Optimization
    • CET 521 Inferential Data Analysis for Engineers
    • CET 522 Transportation Data Management and Visualization

Additional requirements

  • CET graduate core (CET 511, 512, 513, 521, 522) must be taken for a numeric grade
  • A minimum of 18 graduate credits must be taken for a numeric grade
  • Minimum cumulative GPA of 3.0 overall
  • Minimum cumulative GPA of 3.0 in CET coursework
  • Minimum grade of 2.7 for a course to count toward degree requirements
  • Courses numbered 300-level (3XX) or below cannot be counted toward a graduate degree
  • Courses numbered 499 cannot be counted toward a graduate degree
  • Students should have taken classes that provide advanced breadth of knowledge beyond their
  • primary research area, to be approved by the general exam committee.
  • See CEE departmental Ph.D. Requirements form for additional department requirements.

Ph.D. qualifying exam

The purpose of the qualifying exam is to assess the student’s readiness to create new knowledge throug
doctoral level research. Through the qualifying exam, the faculty will evaluate the student's ability to:

  1. Understand and apply the foundational facts, concepts, and procedures of transportation
    engineering
  2. Analyze problems and evaluate solutions by:
    • integrating and utilizing the knowledge and skills critical for independent and creative
      research
    • synthesizing ideas and concepts at an advanced level of proficiency in areas being examined
      Updated January 2023
    • evaluating, checking, and critiquing work by constructing critical arguments and presenting
      them in a direct and coherent manner.

Ph.D. general exam

The purpose of the general exam is for the student to demonstrate:

  1. The ability to formulate a research question that is academically challenging, useful, and
    tractable
  2. Mastery of the state of the art in their field. This includes a literature review, to show how your
    topic has been addressed in the past, and important related concepts. Why is the work that has
    already been done not sufficient?
  3. A clear research plan to answer the research question. How are you planning to do the research
    and why your plan is the best? Have you identified and justified appropriate methods and data
    sources?
  4. The expected contributions that their research plan will generate. Why does your research
    matter?

Ph.D. final examination


The purpose of the final exam is for the student to demonstrate to his or her committee satisfactory
command of all aspects of the work presented and other related subjects. Refer to the CEE Ph.D. Requirements and Procedures forms for deadlines and procedures.

Alternative courses

Alternatives to required courses can be approved by your advisor, based on your particular research
interests and master’s coursework completed at another university.

For example:

  • CET 521 Inferential Data Analysis for Engineers. This requirement may be satisfied with a similar
  • quantitative methods course that fits your research needs and prior knowledge. Below is a list of
  • alternative courses to CET 521 that have been approved by the transportation faculty group:
    • ECON 482 Economic Methods
    • GEOG 426 Advanced Quantitative Methods
    • INDE 424 Simulation
    • INDE 521 Quality Control in Manufacturing
    • STAT 421 Applied Statistics and Experimental Design
    • STAT 423 Applied Regression and Analysis of Variance
    • STAT 486 Experimental Design