The program aims to provide non-IT-related undergraduate graduates with a broad understanding of the theory and practice of computer science. Graduates should be software developers with in-depth understanding of the specialized areas of artificial intelligence, database management, and software engineering. Graduates will be prepared for IT careers that meet industry demands.
Upon successful completion of the Master of Computing programme, students should be able to: :
Program leaflet (English with Traditional Chinese)
Program leaflet (English with Simplified Chinese)
| Study Mode | Duration | Language | |
|---|---|---|---|
| Full-time | Face to Face | One Year | English |
| Part-time | Face to Face | Two Year | English |
Students will study through full-time or part-time face-to-face teaching, and can obtain teaching resources and support on the online platform. All subjects in this course have regular face-to-face classes and tutorials. Face-to-face classes are designed to provide students with the opportunity to discuss academic issues with their tutors and learn practical skills. At the same time, for all subjects in this course, with the support of the Hong Kong Metropolitan University Online Learning Environment (OLE), teachers and students can also interact online to discuss the principles and applications involved in the course.
| Course Code | Course Name | Credit-units |
|---|---|---|
| (1) COMP 8020SEF | Java Programming | 3 |
| (2) COMP 8080SEF | Python Programming | 3 |
| (3) COMP 8090SEF | Data Structures | 3 |
| (4) COMP 8200SEF | Database Systems | 3 |
| (5) COMP 8500SEF | Software Engineering | 3 |
| (6) COMP 8650SEF | Design and Analysis of Algorithms | 3 |
| (7) COMP 8660SEF | Computer Organization and Desgin | 3 |
| (8) COMP 8670SEF | Operating Systems | 3 |
| (9) COMP 8920SEF | Artificial Intelligence and Machine Learning | 3 |
| (10) COMP 8960SEF | Capstone Project | 6 |
Department of Electronic Engineering and Computer Science
Tel: 3120 2606
Email: jauyeung@hkmu.edu.hk
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The programme consists courses listed below.
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| COMP 8020SEF | Java Programming | 3 | – | – |
Java is one of the most popular languages in the IT professional world. The aim of this course is to provide students knowledge in software development using the object-oriented programming language Java. The course will cover object-oriented programming concepts such as classes and objects, and the structure of text-based Java applications. Students will study how to analyze problems and apply object-oriented methodology in software development. | ||||
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| COMP 8080SEF | Python Programming | 3 | – | – |
This is intended to be a first course in computer programming. In this course, students will study how to write computer programs in the Python language to solve computing problems. Students will use programming and data containers to ease programming effort and to allow writing larger programs to solve problems. Topics include variables, operators, control structures, arrays and strings. | ||||
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| COMP 8090SEF | Data Structures | 3 | – | – |
As a sequel to COMP 8080SEF, the aim of this course is to facilitate students to acquire skills for writing larger programs effectively. Students will study how program structures, software development process, data structures, and algorithms can be used to deal with larger programming tasks. Topics include modular programming, abstract data types, searching and sorting, recursion, and data structures such as linked lists, binary trees, and hash-tables. | ||||
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| COMP 8200SEF | Database Systems | 3 | – | – |
This course aims to provide an explanation of the concepts underlying all relational databases as well as practical experience in applying the concepts in different situations. Students should develop knowledge about the role of databases and database management systems within the context of information systems. Students should also develop skills in using the database language SQL. Major topics include database environment, database architectures, relational model and database design. | ||||
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| COMP 8500SEF | Software Engineering | 3 | – | – |
The course aims to develop in learners the terminology, notations and understanding needed for effective communication with team members during software engineering activities. It also aims to equip learners with the skills to apply software engineering methods and tools in a variety of situation. | ||||
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| COMP 8650SEF | Design and Analysis of Algorithms | 3 | – | – |
The aim of this course is to introduce the algorithms in various domains, and techniques for designing efficient algorithms. It trains student the ability to analyze the time and space complexity and correctness of algorithms and skills to design solutions to problems. Topics include regular and context-free languages and finite and pushdown automata, and the Turing machine. | ||||
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| COMP 8660SEF | Computer Organization and Design | 3 | – | – |
The aim of this course is to equip students with the design of computer systems and their major components. The course begins with a discussion of how to represent data in computer systems and then moves onto the design of a simple programmable computer system. Techniques for improving various aspects of computer system performance will be discussed in the second half of the course. Major topics include data representation, computer system design, instruction execution model, memory, input/output system, pipelining, and instruction set design. | ||||
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| COMP 8670SEF | Operating Systems | 3 | – | – |
The aim of this course is to equip students with knowledge about the design of operating systems for the management of system resources. Students will be allowed to study various methods and algorithms for effectively managing major computing resource types including processors, main memory, and input output devices. Major topics include structure of operating systems, process management, concurrency, synchronization and deadlock, memory management, and input/output management. | ||||
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| COMP 8920SEF | Artificial Intelligence and Machine Learning | 3 | – | – |
To be updated | ||||
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| COMP 8960SEF | Capstone Project | 6 | – | – |
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To be updated |
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Students admitted to the programme are required to successfully complete total 33 credits.
| Categories | Weightings |
|---|---|
| Core Courses | 27 Credits |
| Project Courses | 6 Credits |
| Total | 33 Credits |
| Code | Title | Category | Credits | Course Level | Honours Classification | |
|---|---|---|---|---|---|---|
| Autumn Term | COMP 8020SEF | Java Programming | Core | 3 | - | - |
| COMP 8080SEF | Python Programming | Core | 3 | - | - | |
| COMP 8200SEF | Database Systems | Core | 3 | - | - | |
| COMP 8500SEF | Software Engineering | Core | 3 | - | - | |
| COMP 8660SEF | Computer Organization and Design | Core | 3 | - | - | |
| COMP 8960SEF | Capstone Project | Project | 6 | - | - | |
| Spring Term | COMP 8090SEF | Data Structures | Core | 3 | - | - |
| COMP 8650SEF | Design and Analysis of Algorithms | Core | 3 | - | - | |
| COMP 8670SEF | Operating Systems | Core | 3 | - | - | |
| COMP 8920SEF | Artificial Intelligence and Machine Learning | Core | 3 | - | - | |
| COMP 8960SEF | Capstone Project | Project | 6 | - | - |
Students admitted to the programme are required to successfully complete total 33 credits.
| Categories | Weightings |
|---|---|
| Core Courses | 27 Credits |
| Project Courses | 6 Credits |
| Total | 33 Credits |
| Code | Title | Category | Credits | Course Level | Honours Classification | |
|---|---|---|---|---|---|---|
| Autumn Term | COMP 8020SEF | Java Programming | Core | 3 | - | - |
| COMP 8080SEF | Python Programming | Core | 3 | - | - | |
| COMP 8660SEF | Computer Organization and Design | Core | 3 | - | - | |
| Spring Term | COMP 8090SEF | Data Structures | Core | 3 | - | - |
| COMP 8650SEF | Design and Analysis of Algorithms | Core | 3 | - | - | |
| COMP 8670SEF | Operating Systems | Core | 3 | - | - |
| Code | Title | Category | Credits | Course Level | Honours Classification | |
|---|---|---|---|---|---|---|
| Autumn Term | COMP 8500SEF | Software Engineering | Core | 3 | - | - |
| COMP 8200SEF | Database Systems | Core | 3 | - | - | |
| COMP 8960SEF | Capstone Project | Project | 6 | - | - | |
| Spring Term | COMP 8920SEF | Artificial Intelligence and Machine Learning | Core | 3 | - | - |
| COMP 8960SEF | Capstone Project | Project | 6 | - | - |
| Tuition Fee | |
|---|---|
| Total | $122,925 |
Students interested in this programme should apply through HKMU Online Application System
