48 monthsProgramme duration
31,766 USDTuition Fee/year
Programme overview
Main Subject
Engineering - General
Degree
BEng
Study Level
Undergraduate
Study Mode
On Campus
The programme is designed to fuse foundational knowledge and cutting-edge technologies for optimising real-world systems. Our curriculum includes a diverse range of fundamental system analytics and computing disciplines, such as operational research, mathematical and data-driven optimisation, and system simulation and modeling. Additionally, students are exposed to innovative artificial intelligence and intelligent systems technologies. Through rigorous coursework and hands-on experiences that seamlessly blend theoretical concepts with advanced technologies, the programme offers students rich opportunities to engage in real-world projects and research that push the boundaries of technology.
Equipped with in-depth skills in data analytics, decision-making, robotics and automation, and human-machine interfaces, our students are empowered to pursue advanced studies and explore diverse career paths across a wide range of industries, including logistics and transportation, robotics, healthcare engineering, manufacturing, and more.
The main areas of expertise developed in this curriculum are as follows:
Data Analytics and Computing – Big data analytics, data-driven optimisation, operations research, statistics analysis, system modelling and simulation, quality control and process optimisation, blockchain, and project management. Robotics and Intelligent Systems – Artificial intelligence, machine learning, computer vision, robotics, virtual reality, human-machine interface, internet of things, and manufacturing.
Equipped with in-depth skills in data analytics, decision-making, robotics and automation, and human-machine interfaces, our students are empowered to pursue advanced studies and explore diverse career paths across a wide range of industries, including logistics and transportation, robotics, healthcare engineering, manufacturing, and more.
The main areas of expertise developed in this curriculum are as follows:
Data Analytics and Computing – Big data analytics, data-driven optimisation, operations research, statistics analysis, system modelling and simulation, quality control and process optimisation, blockchain, and project management. Robotics and Intelligent Systems – Artificial intelligence, machine learning, computer vision, robotics, virtual reality, human-machine interface, internet of things, and manufacturing.
Programme overview
Main Subject
Engineering - General
Degree
BEng
Study Level
Undergraduate
Study Mode
On Campus
The programme is designed to fuse foundational knowledge and cutting-edge technologies for optimising real-world systems. Our curriculum includes a diverse range of fundamental system analytics and computing disciplines, such as operational research, mathematical and data-driven optimisation, and system simulation and modeling. Additionally, students are exposed to innovative artificial intelligence and intelligent systems technologies. Through rigorous coursework and hands-on experiences that seamlessly blend theoretical concepts with advanced technologies, the programme offers students rich opportunities to engage in real-world projects and research that push the boundaries of technology.
Equipped with in-depth skills in data analytics, decision-making, robotics and automation, and human-machine interfaces, our students are empowered to pursue advanced studies and explore diverse career paths across a wide range of industries, including logistics and transportation, robotics, healthcare engineering, manufacturing, and more.
The main areas of expertise developed in this curriculum are as follows:
Data Analytics and Computing – Big data analytics, data-driven optimisation, operations research, statistics analysis, system modelling and simulation, quality control and process optimisation, blockchain, and project management. Robotics and Intelligent Systems – Artificial intelligence, machine learning, computer vision, robotics, virtual reality, human-machine interface, internet of things, and manufacturing.
Equipped with in-depth skills in data analytics, decision-making, robotics and automation, and human-machine interfaces, our students are empowered to pursue advanced studies and explore diverse career paths across a wide range of industries, including logistics and transportation, robotics, healthcare engineering, manufacturing, and more.
The main areas of expertise developed in this curriculum are as follows:
Data Analytics and Computing – Big data analytics, data-driven optimisation, operations research, statistics analysis, system modelling and simulation, quality control and process optimisation, blockchain, and project management. Robotics and Intelligent Systems – Artificial intelligence, machine learning, computer vision, robotics, virtual reality, human-machine interface, internet of things, and manufacturing.
Admission Requirements
64+
6.5+
180+
93+
To have your application considered for admission, you MUST FIRST satisfy the University Entrance Requirements. Each applicant shall gain “332233” in four core subjects plus two elective subjects in the HKDSE Examination. The result of the Mathematics Extended Part (Modules 1 and 2) will be recognised as equivalent to that of a full elective in fulfilling the University Entrance Requirement on the condition that one of the elective subjects must be a Senior Secondary Subject (i.e. Category A Subject).
In addition to the standard University Entrance Requirements, some of the University's programmes have additional entrance requirements, which vary from programme to programme.
In addition to the standard University Entrance Requirements, some of the University's programmes have additional entrance requirements, which vary from programme to programme.
4 Years
Tuition fees
Domestic
5,997 USD
International
31,766 USD
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