Since early 1990's, Intelligent Transportation Systems (ITS) have been evolving in developed countries to cope with transportation problems such as traffic congestion and road safety issues caused by a growing population and continuous urban development. ITS combines leading-edge information and communication technologies used in transportation and traffic management systems to improve the safety, efficiency, and sustainability of transportation networks, reduce traffic congestion and enhance drivers’ and passengers’ experiences.

The Master of Philosophy (MPhil) and Doctor of Philosophy (PhD) Programs in Intelligent Transportation aim to provide a well-rounded education as well as rigorous research training to prepare students to become versatile and knowledgeable professionals in intelligent transportation engineering and technologies. Areas of research may include acquisition, analysis and applications of traffic big data; shared mobility, mobility as a service (MaaS); analysis, modelling, and optimization of transportation system with connected and autonomous vehicles (CAV); testbed and traffic simulation of connected and autonomous vehicles (CAV); operations and management of urban rail transit systems; safety and security of unmanned aerial vehicle (UAV); green aviation technologies; automated port operations and shipping logistics.

MPhil graduates should be able to demonstrate a good mastery of knowledge in transportation technology, system design and public policy aspects, making contributions to the industry.

PhD graduates should be capable of conducting high-quality original research, creating new knowledge, deriving valuable insights, and making tangible impacts to academia and the field.

On successful completion of the MPhil program, graduates will be able to:

1. Demonstrate mastery of knowledge in traffic management systems and transportation engineering and technologies;
2. Identify scientific and engineering significances in intelligent transportation technologies including computational and analytic models, tools, solutions, and techniques;
3. Demonstrate critical thinking and analytical skills that are essential for traffic management;
4. Translate and transform fundamental research insights effectively into practical applications in industry; and
5. Apply cross-disciplinary knowledge and skills to enhance the transportation systems and develop new technologies.

On successful completion of the PhD program, graduates will be able to:

1. Demonstrate mastery of knowledge in traffic management systems and transportation engineering and technologies;
2. Identify scientific and engineering significances in intelligent transportation technologies including computational and analytic models, tools, solutions, and techniques;
3. Demonstrate critical thinking and analytical skills that are essential for traffic management;
4. Conduct high-quality original research independently in areas of transportation engineering and technology and provide substantial scientific contribution to the discipline;
5. Translate and transform fundamental research insights effectively in academic fields and industry; and
6. Apply cross-disciplinary knowledge and skills to enhance the transportation systems and develop new technologies.

1. Minimum Credit Requirement

   MPhil: 15 credits
   PhD: 21 credits

2. Credit Transfer

   Students who have taken equivalent courses at HKUST(GZ) or other recognized universities may be granted credit transfer on a case-by-case basis, up to a maximum of 3 credits for MPhil students, and 6 credits for PhD students.

3. Cross-disciplinary Core Courses

2 credits

All MPhil students are required to complete UCMP 6050. All PhD students are required to complete either UCMP 6010 or UCMP 6030. Students may complete the remaining courses as part of the credit requirements, as requested by the Program Planning cum Thesis Supervision Committee.

PhD students who are HKUST(GZ) MPhil graduates and have completed UCMP 6010, UCMP 6030 or UCMP 6050 before may be exempted from this requirement, subject to prior approval of the Program Planning cum Thesis Supervision Committee.

4. Hub Core Courses

4 Credits

Students are required to complete at least one Hub core course (2 credits) from the Systems Hub and at least one Hub core course (2 credits) from other Hubs.

  Systems Hub Core Course

  Other Hub Core Courses

5. Courses on Domain Knowledge

MPhil: minimum 9 credits of coursework
PhD: minimum 15 credits of coursework

Under this requirement, each student is required to take elective courses to form an individualized curriculum relevant to the cross-disciplinary thesis research. To ensure that students will take appropriate courses to equip them with needed domain knowledge, each student has a Program Planning cum Thesis Supervision Committee to approve the courses to be taken soonest after program commencement and no later than the end of the first year. Depending on the approved curriculum, individual students may be required to complete additional credits beyond the minimal credit requirements.

  Sample Course List

To meet individual needs, students will be taking courses in different areas, which may include but not limited to courses and areas listed below.

6. Additional Foundation Courses

Individual students may be required to take foundation courses to strengthen their academic background and research capacity in related areas, which will be specified by the Program Planning cum Thesis Supervision Committee. The credits earned cannot be counted toward the credit requirements.

7. Graduate Teaching Assistant Training

All full-time RPg students are required to complete PDEV 6800. The course is composed of a 10-hour training offered by the Institute of Educational Innovation and Practice (IEIP), and session(s) of instructional delivery to be assigned by the respective Thrusts/Base. Upon satisfactory completion of the training conducted by IEIP, MPhil students are required to give at least one 30-minute session of instructional delivery in front of a group of students for one term. PhD students are required to give at least one such session each in two different terms. The instructional delivery will be formally assessed.

8. Professional Development Course Requirement

Students are required to complete PDEV 6770. The 1 credit earned from PDEV 6770 cannot be counted toward the credit requirements.

PhD students who are HKUST MPhil graduates and have completed PDEV 6770 or other professional development courses offered by the University before may be exempted from taking PDEV 6770, subject to prior approval of the Program Planning cum Thesis Supervision Committee.

Students are required to complete SYSH 6780. The 1 credit earned from SYSH 6780 cannot be counted toward the credit requirements.

PhD students who are HKUST MPhil graduates and have completed SYSH 6780 or other equivalent professional development courses offered by the University before may be exempted from taking SYSH 6780, subject to prior approval of the Program Planning cum Thesis Supervision Committee.

9. English Language Requirement

Full-time RPg students are required to take an English Language Proficiency Assessment (ELPA) Speaking Test administered by the Division of Language Education before the start of their first term of study. Students whose ELPA Speaking Test score is below Level 4, or who failed to take the test in their first term of study, are required to take LANG 5000 until they pass the course by attaining at least Level 4 in the ELPA Speaking Test before graduation. The 1 credit earned from LANG 5000 cannot be counted toward the credit requirements.

Students are required to take DLED 5001. The credit earned cannot be counted toward the credit requirements. Students can be exempted from taking this course with the approval of the Program Planning cum Thesis Supervision Committee.

10. Postgraduate Seminar

MPhil:

Full-time students must take and pass INTR 6800 at least twice, and present at least one seminar during their study, in addition to the oral defense of their MPhil thesis. Part-time students must take and pass INTR 6800 at least once, and present at least one seminar during their study, counting the oral defense of their MPhil thesis.

PhD:

Full-time students must take and pass INTR 6800 at least four times, and present at least two seminars during their study, in addition to the oral defense of their PhD thesis. Part-time students and students entering with an HKUST MPhil degree must take and pass INTR 6800 at least twice, and present at least one seminar during their study, counting the oral defense of their PhD thesis.

11. PhD Qualifying Examination

PhD students are required to pass a qualifying examination to obtain PhD candidacy following established policy.

12. Thesis Research

  MPhil:

1. Registration in INTR 6990; and
2. Presentation and oral defense of the MPhil thesis.

PhD:

1. Registration in INTR 7990; and
2. Presentation and oral defense of the PhD thesis.

Last Update: 20 July 2023

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