MPhil/PhD in Intelligent Transportation 36 months Postgraduate Program By The Hong Kong University of Science and Technology |Top Universities
Subject Ranking

# =24QS Subject Rankings

Program Duration

36 monthsProgram duration

Tuitionfee

21,430 USDTuition Fee/year

Main Subject Area

Computer Science and Information SystemsMain Subject Area

Program 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.

Program 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.

3 Years
Sep

Tuition fees

Domestic
21,430 USD
International
21,430 USD

Scholarships

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