12 monthsProgramme duration
13,315 USDTuition Fee/year
Programme overview
Main Subject
Engineering - Civil and Structural
Degree
Other
Study Level
Masters
Study Mode
On Campus
This program provides a wide range of subjects covering fundamentals of smart sustainable cities. It covers the fundamentals (land use, energy systems, mobility modes, infrastructure systems, etc.), sustainable urban development (transportation, water, energy social infrastructure, etc.), sustainable neighborhoods (sensitive site design, ecology conservation, biodiversity, mixed use development, walkability, etc.), and intelligent transportation systems (e.g. connected vehicles, travel demand management).
The program also equips the student with the necessary tools to become effective in this field, such as urban sustainability planning methods (decision theory, data classification, statistical sampling, hypothesis testing, etc.), environmental economics (market failure, externality, common and public goods, economic environmental valuation, circular economy, etc.), urban informatics (remote sensing, spatial data structures, global GIS databases, photogrammetric systems, space borne sensors, etc.), and big data analytics (e.g. smart clouds, machine learning and visualization of big data, privacy).
Programme overview
Main Subject
Engineering - Civil and Structural
Degree
Other
Study Level
Masters
Study Mode
On Campus
This program provides a wide range of subjects covering fundamentals of smart sustainable cities. It covers the fundamentals (land use, energy systems, mobility modes, infrastructure systems, etc.), sustainable urban development (transportation, water, energy social infrastructure, etc.), sustainable neighborhoods (sensitive site design, ecology conservation, biodiversity, mixed use development, walkability, etc.), and intelligent transportation systems (e.g. connected vehicles, travel demand management).
The program also equips the student with the necessary tools to become effective in this field, such as urban sustainability planning methods (decision theory, data classification, statistical sampling, hypothesis testing, etc.), environmental economics (market failure, externality, common and public goods, economic environmental valuation, circular economy, etc.), urban informatics (remote sensing, spatial data structures, global GIS databases, photogrammetric systems, space borne sensors, etc.), and big data analytics (e.g. smart clouds, machine learning and visualization of big data, privacy).
Admission Requirements
- Candidates are required to submit references or letter(s) of recommendation for acceptance
- Candidates are required to submit an essay(s) for acceptance
Tuition fees
Domestic
International
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