Applications for Taught Postgraduate Programmes in 2017 entry are now closed. Applications for 2018 entry will start in mid-November 2017 tentatively and updated programme information will be available by that time. The programme information for 2017 entry listed below is for reference only.
|Year of Entry||2017|
|Mode of Funding||Non-government-funded|
|Intermediate Award||Postgraduate Diploma in Computer Science|
|Mode of Programme||Combined †|
|Class Schedule||Weekday evenings and/or Saturdays|
|Indicative Intake Target||50|
|Minimum No. of Credits Required||Master's degree: 30; Postgraduate Diploma: 24|
|Normal Duration of Programme||
Full-time: 1 year;
Part-time: 2 years
|Maximum Study Period||
Full-time: 2.5 years;
Part-time/Combined mode: 5 years
|Programme Website||Click here to open|
|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.|
Dr YU Yuen Tak
BSc CertEd HK, GradDip PhD Melb, MIEEE, MACM
+852 3442 8580
The programme aims to enable computer professionals to effectively and systematically strengthen and upgrade their technical capabilities in meeting increasing demands in computer software systems and services development. The programme also aims to broaden the students’ knowledge and deepen their understanding of key issues of specific application domains and areas in computer science, including data science, e-Commerce, information security, mobile, multimedia, and other related contemporary technologies. It prepares graduates to take up advanced innovative development work in the industry as well as to pursue higher research degree qualifications.
Upon completion of the programme, students should be able to apply the acquired theories and techniques to various technical aspects of computer systems and services development. The programme provides great flexibility through extensive choices of electives to respond to rapidly changing industry needs as well as a students' interests.
To be eligible for admission, you must satisfy the General Entrance Requirements and have:
Applicants whose entrance qualification is obtained from an institution where the medium of instruction is NOT English should also fulfill the following minimum English proficiency requirement:
The programme consists of three required courses and two groups of elective courses. The required courses will enable students to acquire a solid foundation in computer networks, data engineering and software engineering. The elective courses are divided into two groups: Group I and Group II. Students are required to take at least 21 credit units of Electives, including at least 3 credit units of Electives in Group I. The elective courses cover a broad range of areas in the field, including data science, e-Commerce, information security, mobile, multimedia, and other related contemporary technologies. Each course is worth 3 credit units except for the elective Project course which is worth 6 credit units. Through suitable choices of elective courses, students may concentrate on a study stream (Data Science Stream or Information Security Stream) based on their interests. Alternatively, students may also freely choose any elective courses without concentration on a particular stream. Please refer to the programme’s Web site (http://www.cs.cityu.edu.hk/academic/mscs/) for details.
A typical sequence of full-time study is as follows. The study load of a part-time student is normally about half of that of a full-time student.
Year 1, Semester A
3 required courses (Computer Networks and Internets, Data Engineering, Software Engineering), plus 2 elective courses (such as Big Data Algorithms and Techniques, Information Security Technology Management, Machine Learning, Multimedia Technologies and Applications, Guided Study)
Year 1, Semester B
5 elective courses (such as Algorithms and Techniques for Web Searching, Cloud Computing: Theory and Practice, Computer Games Design, Computer Graphics, Data Warehousing and Data Mining, Mobile Computing, Practical Optimization Algorithms and Techniques, Topics on Information Security), or the elective Project course plus 3 other elective courses