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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.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
Other
Study Level
Masters
Study Mode
On Campus
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.
Admission Requirements
80+
6.5+
Applicants seeking admission to a master's degree or postgraduate diploma program should have: Obtained a bachelor’s degree from a recognized institution, or an approved equivalent qualification.
MPhil/PhD in Intelligent Transportation
The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China (Mainland)
# =24QS Subject Rankings
36 monthsProgramme duration
21,430 USDTuition Fee/year
4Scholarships
Programme overview
Main Subject
Computer Science and Information Systems
Degree
Other
Study Level
Masters
Study Mode
On Campus
Programme overview
Main Subject
Computer Science and Information Systems
Degree
Other
Study Level
Masters
Study Mode
On Campus
Admission Requirements
Domestic
International
Scholarships
The Belt and Road Admission Scholarship
Value
50% tuition fee waiver
Deadline
1 Mar 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
MSc Program Admissions Scholarship
Value
$10000
Deadline
1 Mar 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
MSc Program Academic Achievement Scholarship
Value
$1200
Deadline
1 Mar 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
HKUST Business School’s MSc Diversity Excellence Scholarship
Value
$30000
Deadline
1 Mar 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
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