Master degree
12 months
Application deadlines: January 3
Processing time: 30 days
Application fee: €33.8
Full-time, Part-time
Intakes: September
International tuition: €28,754
Domestic tuition: €28,754
Program overview
Upon successful completion of this Programme, students are expected to:
Apply knowledge of science and engineering appropriate to the data science discipline;
Apply contemporary techniques for managing, mining and analyzing data across multiple discipline;
Use computational thinking to discover new knowledge and to solve real-world problems with high complexity;
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.
Study options

This program can be done
On campus
Part-time
Requirements
Exams:
- IELTS
- TOEFL iBT
- TOEFL PBT
Applicant must be a degree holder in Engineering, Science or other relevant disciplines, or its equivalent
Non-local candidates from an institution where medium of instruction is not English should fulfill one of the English proficiency requirements.
Career opportunities
A strong demand of the data scientists and analysts has been recently observed in the worldwide job market. This programme aims at producing analytic and business-aware graduates to meet the growing demand by equipping them with big data analytics skills and nurturing their capability in applying data science techniques to address emerging complicated real-life problems. Upon successful completion of this programme, the student should be able to:
Apply data processing skills to handle data of various formats and sizes.
Conduct comprehensive data analytics with integrating techniques from various disciplines for knowledge discovery and dissemination in organizational decision-making.
Utilize a variety of data visualization techniques to interpret data analytics results.
Demonstrate strong quantitative capabilities as well as communication skills.
Develop descriptive, prescriptive and predictive analytics solutions to tackle emerging challenges in contemporary problems.
Campus location
Hong Kong
,
Hong Kong SAR China
