Since the 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 Doctor of Philosophy (Ph.D.) Program in Intelligent Transportation aims 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 computational modeling, floating car / floating cellular data, inductive loop/video vehicle/Bluetooth detection, information fusion from multiple traffic sensing modalities, collision avoidance systems, safety and security of the unmanned aerial vehicle, green aviation technologies, public transportation systems such as railway systems, connected vehicles (CV), autonomous vehicles (AV), and shared mobility.
Ph.D. graduates should be capable of conducting high-quality original research, creating new knowledge, deriving valuable insights, and making tangible impacts on academia and the field.
On successful completion of the Ph.D. program, graduates will be able to:
- Demonstrate mastery of knowledge in traffic management systems and transportation engineering and technologies;
- Identify scientific and engineering significances in intelligent transportation technologies including computational and analytic models, tools, solutions, and techniques;
- Demonstrate critical thinking and analytical skills that are essential for traffic management;
- Conduct high-quality original research independently in areas of transportation engineering and technology and provide a substantial scientific contribution to the discipline;
- Translate and transform fundamental research insights effectively in academic fields and industry; and
- Apply cross-disciplinary knowledge and skills to enhance the transportation systems and develop new technologies.
To qualify for admission, applicants must meet all of the following requirements. Admission is selective and meeting these minimum requirements does not guarantee admission.
i. General Admission Requirements of the University
- Applicants seeking admission to a master's degree program should have obtained a bachelor’s degree from a recognized institution, or an approved equivalent qualification;
- Applicants seeking admission to a doctoral degree program should have obtained a bachelor’s degree with a proven record of outstanding performance from a recognized institution; or presented evidence of satisfactory work at the postgraduate level on a full-time basis for at least one year, or on a part-time basis for at least two years.
ii. English Language Admission Requirements
Applicants have to fulfill English Language requirements with one of the following proficiency attainments:
- TOEFL-iBT: 80*
- TOEFL-pBT: 550
- TOEFL-Revised paper-delivered test: 60 (total scores for Reading, Listening and Writing sections)
- IELTS (Academic Module): Overall score: 6.5 and All sub-score: 5.5
* refers to the total score in one single attempt
Applicants are not required to present TOEFL or IELTS score if:
- their first language is English, or
- they obtained the bachelor's degree (or equivalent) from an institution where the medium of instruction was English.
This program is for HKUST(Guangzhou) Pilot Scheme Admission.
For more program information, please refer to pg.ust.hk/programs.
About the School
Located at the Clear Water Bay of Hong Kong, the Hong Kong University of Science and Technology (HKUST) is a research-focused institution that ranks first among top young universities in the world (Ti ... Read More