The programme aims to produce data-analytic and business-aware 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 organizational decision-making. It is also intended to help established data analytic professionals upgrade their technical management and development skills and to provide a solid path for students from diverse fields to rapidly transition to data science careers.
Year of Entry2019
Application DeadlineLocal & Non-local : 28 Feb 2019
Mode of StudyCombined †
Mode of FundingNon-government-funded
Indicative Intake Target100*
Minimum No. of Credits Required30
Class ScheduleWeekday evenings
Normal Study PeriodFull-time: 1 year;
Part-time: 2 years;
Maximum Study PeriodFull-time: 2.5 years;
Part-time/Combined mode: 5 years;
Mode of ProcessingApplications are processed on a rolling basis. Review of applications will start before the deadline and continue until all places are filled. Early applications are therefore strongly encouraged.
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 following English proficiency requirements.
- a score of 550 (paper-based test) or 59 (revised paper-delivered test) or 79 (Internet-based test) in the Test of English as a Foreign Language (TOEFL); or
- an overall band score of 6.5 in International English Language Testing System (IELTS); or
- a minimum score of 450 in band 6 in the Chinese mainland’s College English Test (CET6); or
- other equivalent qualifications
|Bayesian Data Analysis|
|Data Analytics for Smart Cities|
|Dynamic Programming and Reinforcement Learning|
|Experimental Design and Regression|
|Exploratory Data Analysis and Visualization|
|Information Security for eCommerce|
|Machine Learning at Scale|
|Natural Language Processing|
|Optimization for Data Science|
|Research Projects for Data Science|
|Statistical Machine Learning I|
|Statistical Machine Learning II|
|Storing and Retrieving Data|
|Time Series and Panel Data|
Remarks: Course offering is subject to approval by the University and sufficient enrolment.
The full MSc degree award requires 30 credit units, with the completion of taught courses only, or taught courses plus the dissertation project.
* Subject to approval by the University.