MSc in Computer Science
College of Engineering City University of Hong Kong
Key Information
Campus location
Hong Kong, Hong Kong
Languages
English
Study format
On-Campus
Duration
1 - 2 year
Pace
Full time, Part time
Tuition fees
HKD 6,400 / per credit *
Application deadline
31 Mar 2024
Earliest start date
Sep 2024
* For students admitted in 2024/25. The tuition fee indicated in the above schedule will apply until the end of your study in this programme.
Introduction
Programme Aims and Objectives
The programme aims to:
- Enable computer professionals to strengthen and upgrade their technical capabilities in computer software development;
- Broaden students’ knowledge and deepen their understanding of key issues of specific areas in computer science, including artificial intelligence, data science, information security, multimedia, and other related contemporary technologies;
- Prepare graduates to take up research and advanced innovative development work in the industry or pursue higher research studies.
Key Facts
- Mode of Study: Combined †
- Mode of Funding: Non-government-funded
- Intermediate Award: Postgraduate Diploma in Computer Science
- Indicative Intake Target: 55
- Minimum Number of Credits Required: Master's degree: 30; Postgraduate Diploma: 24
- Class Schedule: Mostly on weekday evenings
- Normal Study Period:
- Full-time: 1 year
- Part-time/Combined mode: 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.
† 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.
Admissions
Curriculum
Course Description
The programme consists of three core courses and two groups of Electives (elective courses). The core courses will enable students to acquire a solid foundation in computer science at the postgraduate level. 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 artificial intelligence, data science, information security, 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 (Artificial Intelligence Stream, Data Science Stream or Information Security Stream) based on their interests. Alternatively, students may also choose any elective courses without concentration on a particular stream. Refer to the programme’s website (https://www.cs.cityu.edu.hk/academic-programmes/msc-computer-science/aims) for details.
Did You Know?
- Students may be considered for the award of the Postgraduate Diploma in Computer Science after obtaining a total of 24 credit units (including all the 3 core courses and at least 3 credit units of elective courses in Group I) with satisfactory academic results if they decide to exit early.
- The Project course is optional. Students may take 2 other elective courses in lieu of the Project course.
- By taking one of the Guided Study courses and/or the Project course, students may gain the experience of working on a small-scale research problem (under supervision of academic staff in the department) to get better prepared for higher research studies.
- Students will have a good chance of admission to higher research studies if they obtain excellent academic results upon graduation.