18 monthsProgramme duration
58,881 Tuition Fee/year
25 Feb, 2027Application Deadline
SepStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
Blended
Programme Aims
This programme will meet the rising demand for professionals skilled in AI, equipping graduates with the necessary expertise to drive innovation and efficiency in the tech industry. The interdisciplinary approach will enable graduates to apply their skills across various contexts and industries. Overall, this initiative is strategic for Hong Kong as a leading digital hub and smart city, aligning with the increasing significance of technology in related sectors.
Characteristics
A strong foundation in mathematics is crucial for the development of AI technology. It serves as the foundation for key areas such as optimisation, probability, statistics, and linear algebra, and supports model design, performance analysis, and interpretability. A solid mathematical training ensures that AI systems are fully functional, stable, general, and interpretable-qualities critical in fields such as finance, scientific computing, biomedical data analysis, and risk modelling.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
Blended
Programme Aims
This programme will meet the rising demand for professionals skilled in AI, equipping graduates with the necessary expertise to drive innovation and efficiency in the tech industry. The interdisciplinary approach will enable graduates to apply their skills across various contexts and industries. Overall, this initiative is strategic for Hong Kong as a leading digital hub and smart city, aligning with the increasing significance of technology in related sectors.
Characteristics
A strong foundation in mathematics is crucial for the development of AI technology. It serves as the foundation for key areas such as optimisation, probability, statistics, and linear algebra, and supports model design, performance analysis, and interpretability. A solid mathematical training ensures that AI systems are fully functional, stable, general, and interpretable-qualities critical in fields such as finance, scientific computing, biomedical data analysis, and risk modelling.
Admission Requirements
- A Bachelor’s degree with honours in mathematics, statistics, computer science, IT, engineering, and science, or the equivalent. Applicants with a Bachelor’s degree in other disciplines and an adequate background in mathematics or IT will also be considered.
If you are not a native speaker of English, and your Bachelor's degree or equivalent qualification is awarded by institutions where the medium of instruction is not English, you are expected to fulfil the University’s minimum English language requirement for admission purpose. Please refer to the "Admission Requirements" section for details.
Tuition fees
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