P70
Master of Science in Data Science*
理學碩士(數據科學)

Year of Entry

2019

Application Deadline

Local & Non-local : 28 Feb 2019

Mode of Study

Combined

Mode of Funding

Non-government-funded

Indicative Intake Target

100*

Minimum No. of Credits Required

30

Class Schedule

Weekday evenings

Normal Study Period

Full-time: 1 year;
Part-time: 2 years;

Maximum Study Period

Full-time: 2.5 years;
Part-time/Combined mode: 5 years;

Mode of Processing

Applications 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.
Programme Leader
Prof WANG Junhui
PhD (University of Minnesota)
General Enquiries
+852 3442 7887
Outline
Programme Aims and Objectives

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.

Entrance Requirements

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

 

Course Description
Tentative Courses 
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
Machine Learning at Scale
Natural Language Processing
Optimization for Data Science
Privacy-enhancing Technologies
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.

Remarks

The full MSc degree award requires 30 credit units, with the completion of taught courses only, or taught courses plus the dissertation project.

Useful Links
Remarks:
* Subject to approval by the University.
† Combined mode: Local students taking programmes in combined mode can attend full-time (12-18 credit units per semester) or part-time (no more than 11 credit units per semester) study in different semesters without seeking approval from the University. For non-local students, they will be admitted to these programmes for either full-time or part-time studies. Non-local students must maintain the required credit load for their full-time or part-time studies and any changes will require approval from the University.