12 monthsProgramme duration
41,790 USDTuition Fee/year
31 Mar, 2026Application Deadline
Sep, JanStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The Master of Science in Data Science (MSDS) programme aims to produce data-analytic graduates to meet the growing demand for high-level data science skills and to prepare graduates to apply data science techniques to knowledge discovery and dissemination in organisational decision-making. It is also intended to help data analytic professionals upgrade their technical management and development skills, and to provide a solid path for students from related quantitative fields to rapidly transition to data science careers.
Programme Intended Learning Outcomes (PILOs):
Upon successful completion of this Programme, students should be able to:
- Apply knowledge of science and engineering appropriate to the data science discipline
- Understand theoretical foundation of contemporary techniques and apply them for managing, mining and analyzing data across multiple disciplines
- Comprehend computational tools and use data-driven thinking to discover new knowledge and to solve real-world problems with complex structures
- Recognize the need for and engage in continuous learning about emerging and innovative data science techniques and ideas
- Communicate ideas and findings in written, oral and visual forms and work in a diverse team environment
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The Master of Science in Data Science (MSDS) programme aims to produce data-analytic graduates to meet the growing demand for high-level data science skills and to prepare graduates to apply data science techniques to knowledge discovery and dissemination in organisational decision-making. It is also intended to help data analytic professionals upgrade their technical management and development skills, and to provide a solid path for students from related quantitative fields to rapidly transition to data science careers.
Programme Intended Learning Outcomes (PILOs):
Upon successful completion of this Programme, students should be able to:
- Apply knowledge of science and engineering appropriate to the data science discipline
- Understand theoretical foundation of contemporary techniques and apply them for managing, mining and analyzing data across multiple disciplines
- Comprehend computational tools and use data-driven thinking to discover new knowledge and to solve real-world problems with complex structures
- Recognize the need for and engage in continuous learning about emerging and innovative data science techniques and ideas
- Communicate ideas and findings in written, oral and visual forms and work in a diverse team environment
Admission Requirements
Tuition fees
Domestic
International
Scholarships
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