The Bachelor of Science with Honours in Computer Science programme (BSCHCSJ/JUPAS JSSU72) aims to produce graduates to be computing professionals with the breadth of understanding of theories and practices in the field of computer science.
The study pathway of this programme will allow students to explore all aspects of computing, as well as specialized topics such as artificial intelligence and smart technologies.
This programme provides multiple entry points: Year 1 Entry through JUPAS or Direct Application and Senior Year Entry through Direct Application at the HKMU website.
| Entry Points | Application Methods | Code |
|---|---|---|
| Year 1 Entry | JUPAS / Direct Application # | JSSU72 / BSCHCSJ1 # |
| Senior Year Entry | Direct Application | BSCHCSJS for Year 2 and 3 Entry |
#Students who are not sitting the HKDSE this year and have an equivalent qualification such as IB or GCE-A Level should apply through [Direct Application].
On successful completion of the BSCHCSJ programme, students should be able to:
Graduates of HKMU Computing are renowned in the IT industry for their good work ethics, broad technical competence, and being well versed in software development and system integration tools. They are found in major IT companies, public organizations, and large and small startups, using their knowledge and skills to contribute to the local innovative economy.
Student Achievements
HKMU Computing Graduates regularly show their strength in problem solving and academic paper writing in inter-varsity contests and competitions. Since 2010, they have won over 30 prizes and awards, affirming their competitiveness among the UGC universities.
Please refer to the Student Achievements or Best Projects page for more details.
Career Prospects
Graduates are qualified to work as professional software developers, software engineers, mobile application developers, AI and machine learning designers. The training received by the graduates would allow them to continuously develop their professional skills in selected areas such as AI, data mining and cyber security. They would also acquire skills and knowledge of the business and industrial world beneficial for possible future promotion to a managerial or leadership position.
The training received by the graduates would allow them to continuously develop their technical skills in selected areas. They would also acquire skills and knowledge of the business and industrial world beneficial for possible future promotion to a managerial or leadership position.
Graduates of this programme have been admitted to various postgraduate programmes in local and overseas universities. Graduates may choose to study for a postgraduate degree in an advanced area in computing and information technology, or in other areas for the broadening of their exposure and skill set. Some of them are also pursuing for a doctoral research degree.
Department of Electronic Engineering and Computer Science
Tel: 3120 2504
Email: cteam@hkmu.edu.hk
Programme Leader
Dr. Au Yeung Siu Kei Jeff
Tel: 3120 2606
Email: jauyeung@hkmu.edu.hk
MUHK Students Showcasing their Innovation at the InnoTech Expo
MUHK InnoAward 2019
Students presenting their research work at a conference
The 4-year programme consists of a balanced set of subject-area courses, language courses, and general education courses.
Core Courses: Provide training in some of the major pillars in modern computing: processing of information, networking of information, and management of information.
Include programming, software development, software engineering, computing infrastructure, and databases.
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| IT 1020SEF | Computing Fundamentals | 3 | Foundation | – |
The aim of this course is to introduce a number of basic concepts concerning computing and information technology. This course takes students to a data-centric point of view of computer systems: how computer processes data to produce useful information, how meanings are represented with data symbols, and how real world data is captured into digital form. The course also explains how different parts of a computer can work together so that it can perform tasks defined by computer programs. | ||||
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| IT 1030SEF | Introduction to Internet Application Development | 3 | Foundation | – |
The aim of this course is to introduce the fundamental skills in web programming for developing internet applications. This course focuses on data processing with small-scale computer programs. It provides students some ideas about data input and output, data operations, and features and structures of computer programs. Students will also gain experience of the stages in software development, and especially software testing and debugging. The course also gives an overview of human-computer interaction and security issues of internet application development. | ||||
Core Courses: Provide training in some of the major pillars in modern computing: processing of information, networking of information, and management of information.
Include programming, software development, software engineering, computing infrastructure, and databases.
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| COMP 2020SEF | Java Programming Fundamentals | 3 | Middle | – |
Java is one of the most popular languages in the IT professional world. The aim of this course is to provide students with sound foundation in software development using the object-oriented programming language Java. The course will cover fundamental 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 2080SEF | Introduction to Computer Programming | 3 | Middle | – |
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 simple computing problems. Students will use fundamental 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 2090SEF | Data Structures, Algorithms, and Problem Solving | 3 | Middle | – |
As a sequel to COMP 2080SEF, 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 2640SEF | Discrete Mathematics | 3 | Middle | – |
The aim of this course is to lay the foundation of discrete mathematics of students which will be used in studying other more advanced programming courses. Students will study the concepts of discrete mathematics, using different techniques for analysing and solving discrete mathematical problems. Topics include sets, functions, equivalence and induction. | ||||
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| COMP 2650SEF | Design and Analysis of Algorithms | 3 | Middle | – |
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 2660SEF | Computer Architecture | 3 | Middle | – |
The aim of this course is to equip students with the fundamentals of 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. | ||||
Advisory Pre-requisites: Students should have completed a number of foundation and middle level computing courses to have adequate background in general computing knowledge. | ||||
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| COMP 2670SEF | Operating Systems | 3 | Middle | – |
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. | ||||
Advisory Pre-requisites: Students should have completed a number of foundation and middle level computing courses to have adequate background in general computing knowledge. | ||||
Core Courses: Provide training in some of the major pillars in modern computing: processing of information, networking of information, and management of information.
Include programming, software development, software engineering, computing infrastructure, and databases.
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| COMP 3120SEF | Java Application Development | 3 | Higher | – |
This course aims to enable students to create maintainable software in Java to meet a great variety of computing requirements. This course covers more advanced concepts in object-oriented programming and also more advanced Java technologies for developing sophisticated applications. Through concepts such as reuse, abstraction, encapsulation, inheritance and polymorphism, students should be able to more capably handle higher problem complexity in their programming work. Students will also study how to develop applications with multithreading, networking and security support in Java. | ||||
| Advisory Pre-requisites: Students should have some background in Java. | ||||
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| COMP 3130SEF | Mobile Application Programming | 3 | Higher | – |
The course aims to provide students with a foundation in designing and developing Android applications. Students will study the architecture of the Android platform, design and implement basic Android applications, and apply Android APIs in mobile programming. | ||||
Advisory Pre-requisites: Students should have completed most foundation and middle level computing programming courses. | ||||
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| COMP 3200SEF | Database Management | 3 | Higher | – |
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. | ||||
| Advisory Pre-requisites: Students should have completed most foundation and middle level computing programming courses. | ||||
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| COMP 3500SEF | Software Engineering | 3 | Higher | – |
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. | ||||
| Advisory Pre-requisites: Students should have completed most foundation and middle level computing programming courses. | ||||
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| COMP 3800SEF | Web Applications: Design and Development | 3 | Higher | – |
This course aims to enable students to develop web applications based on mainly Java technologies and the three-tier architecture. Students should be able to describe essential protocols & technologies for web applications, and apply major models and frameworks for web application development. Major topics include features and models of web applications, mark-up languages, development of web applications with Java technologies such as Java server pages, servlets, database connectivity, and frameworks for boosting productivity. The topics may include HTTP protocol, markup languages, server-client architectures, Java web application technologies, database connectivity, and web application development with Spring framework. | ||||
| Advisory Pre-requisites: Students should have completed most foundation, middle and higher level computing courses, especially higher level Java programming course. | ||||
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| COMP 3810SEF | Server-side Technologies and Cloud Computing | 3 | Higher | – |
This course introduces some of the contemporary techniques, technologies and tools for designing, constructing and deploying flexible server-side Internet applications. One of the main focuses of this course is to explain and demonstrate the use of cloud computing technologies. Students will learn how to design, construct and deploy scalable and cost-effective applications that are readily deployable on commercial cloud platforms. The topic may include tools for cloud app development, essential cloud technologies such as linux & git, NoSQL, server-side scripting, server-side MVC, service-oriented architecture, RESTful web services, virtualization, cloud computing concept, service and pricing models, writing and deploying cloud apps. | ||||
| Advisory Pre-requisites: Students should have completed most foundation, middle and higher level computing courses. | ||||
Elective and Project Courses: Expose students to specialized topics related to Internet Technology.
The final year project courses provide an opportunity to develop in-depth knowledge and high-level thinking process in a research and development project or an advanced software development project.
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| COMP 4560SEF | Software System Development Project | 6 | Higher | – |
This is a project course. Students will attempt a final year project which should provide an opportunity to integrate knowledge and skills acquired in the programme of study. Students will normally form a team to handle one project. Performance will be assessed both at the project level and the individual level. After the course, students should be able to explain the current state of development in the application domain similar to his or her project area, to design, propose, implement and evaluate software system solutions. Students should also be able to collaboratively manage a software system development project and to write effective project reports. | ||||
Mandatory Pre-requisites: Please be mindful that students must (1) pass at least 20 credits of COMP3120SEF, COMP3130SEF, COMP3200SEF, COMP3210SEF, COMP3500SEF and/or COMP3510SEF, and (2) have completed at least 63 credits for Year 1 entry, 42 credits for Year 2 entry and 18 credits for Year 3 entry students respectively. | ||||
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| COMP 3210SEF | Advanced database and Data Warehousing | 3 | Higher | – |
| As a sequel to COMPS320F, this course aims to provide students with more advanced concepts of relational databases and more practical experience in different situations. Students will study more advanced concepts and theories about relational databases. Major topics include Entity-Relation model, normalization, transaction management, and other advanced topics. | ||||
| Advisory Pre-requisites: Students should have completed most foundation and middle level computing courses. | ||||
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| COMP 3330SEF | Advanced Programming and AI Algorithm | 3 | Higher | – |
| This course aims to introduce basic concepts and algorithms of artificial intelligence (AI) and to facilitate students to develop advanced programming skills to tackle sophisticated problems, especially using AI algorithms and techniques. Students will be able to explain the capabilities, strengths and limitations of various AI techniques, as well as AI algorithms and their applications. Students also learn how to apply AI algorithms and programming methods to solve real world problems, and write programs to implement the devised algorithmic solutions. | ||||
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| COMP 3510SEF | Software Project Management | 3 | Higher | – |
| As a sequel to COMPS350F, This course aims to develop in learners the know-how of project management recognized as good practices in software development. | ||||
| Advisory Pre-requisites: Students are expected to have completed at least two semester courses in computer programming and COMP S350F Software Engineering. | ||||
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| COMP 3620SEF | Concurrent and Networks Programming | 3 | Higher | – |
| This course develops in students’ ability to write programs that can run on computer networks. Students will improve their productivity as network programmers by learning programming frameworks and advanced programming language features. The topics may include basic networking concepts, multi-threaded programming, web services, regular expressions, recursion, Lambda expression, map/reduce paradigm, aspect-oriented programming, message queues, etc. | ||||
| Advisory Pre-requisites: Students should have completed most foundation, middle and higher level computing courses. | ||||
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| COMP 3630SEF | Distributed Systems and Parallel Computing | 3 | Higher | – |
| The aim of this course is to develop in students’ knowledge and skills in the development of distributed systems and parallel programs. It covers major parallel programming approaches and describes how to model parallel programs with various tools. It also takes students through case studies such as web services and Hadoop. The topics may include distributed systems concepts, Erlang programming language and its Open Telecom Platform (OTP), hot code swapping, Hadoop and MapReduce, unconventional DB, Petri nets, clock synchronization, global state detection and election algorithms. | ||||
| Pre-requisites: Students are expected to have completed three semester courses or more using any programming languages. Students are recommended to have taken COMP S362F Concurrent and Network Programming though motivated individuals without S362F will still be able to handle this course. | ||||
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| COMP 3820SEF | Data Mining and Analytics | 3 | Higher | – |
| This course introduces the key concepts, techniques and tools that would allow hidden patterns of data to be uncovered. Key topics of this course include: data warehousing, the data mining process, classification, regression, clustering and association mining. Students will learn how to apply this knowledge to solving typical data mining problems through case studies of real-world applications of data mining techniques. The topics may include data mining and data warehousing concepts, data mining process and software, classification and regression methods, clustering algorithms, and association rule mining. | ||||
| Advisory Pre-requisites: Students should have completed most foundation, middle and higher level computing courses. | ||||
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| COMP 3900SEF | Creative Programming for Games | 3 | Higher | – |
| This course aims to develop the students’ capabilities in applying programming skills to develop serious games and creative applications. The course consists of three parts. The first part will teach students how to generate interactive and algorithmic graphics using a game engine. The second part discusses various theories and issues in designing a serious game. The third part introduces various technologies and techniques for enhancing the user experience, which includes using sensors to orient a device in physical space and to interact with game objects. The course will enable students to design and develop serious games and creative applications with an appropriate integration of programming skills and techniques. | ||||
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| COMP 4920SEF | Machine Learning | 3 | Higher | – |
| This course aims to introduce students to the field of machine learning, and develop them to apply machine learning algorithms to real-world problems. It enables students to have a broad overview of different machine learning and deep learning algorithms with a focus of applying these algorithms into real-world problems through practical activities. | ||||
| Advisory Pre-requisites: Students should have a solid background in computing. | ||||
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| ELEC 3050SEF | Computer Networking | 3 | Higher | – |
| This course aims to introduce the concepts and fundamental design principles of modern computer networking in a top-down approach, focusing on the Internet’s architecture and protocols. The lecture begins at the application layer and working its way down toward the data link layer of the computer network reference model. The topics may include delay and loss in packet switched networks, protocol layered architecture, application layer HTTP, transport layer TCP, UDP, network layer routing, addressing, link layer switching, multiple access protocols, MAC addresses and Ethernet. | ||||
| Advisory Pre-requisites: Students should have completed most foundation, middle and higher level computing courses. | ||||
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| ELEC 3480SEF | IOT Security | 3 | Higher | – |
| This course aims to introduce students to the concepts of discovering vulnerability, risk assessments, researching in and recommending risk mitigation strategies for common security threats in Internet of Things (IoT) systems. Students will be able to use industry-standard models to explain security requirements in IoT systems, and IoT security risks in an industry sector. Students will also learn to evaluate physical device / communication / application security vulnerabilities in IoT systems, and design threat mitigation measures based on threat modeling and risk management frameworks. Topics include IoT Security Challenges, IoT systems and architectures, IoT Device Layer Attack, Communication Layer Attack, Application Layer Attack, vulnerability and risk assessment in an IoT System. | ||||
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| ELEC 3710SEF | Digital Forensics | 3 | Higher | – |
| This course will cover the fundamentals of computer forensics and investigations. Topics include historical and current digital forensics; a systematic approach to computer investigations; digital forensics, email and image file analysis; and guidelines for writing digital forensics reports. Various forensic tools will be used during the laboratory sessions of the course. | ||||
| Advisory Pre-requisites: Students should have completed most foundation, middle and higher level computing courses and should have a solid knowledge in networking or have completed ELEC 3050SEF. | ||||
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| ELEC 4250SEF | Computer and Network Security | 3 | Higher | – |
| This course intended for senior students. This course covers principles of computer systems and network security. This courses also discuss various attack techniques and how to defend against them. Topics include network attacks and defenses, malware and social engineering attacks, host security, application security, network security, data security, access control and authentication, and cryptography and encryption. | ||||
| Advisory Pre-requisites: Students should have completed most foundation, middle and higher level computing courses and should have a solid knowledge in networking or have completed ELEC 3050SEF. | ||||
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| ELEC 4310SEF | Blockchain Technologies | 3 | Higher | – |
| This course introduces the concepts and applications of blockchain technologies, explains their potential impacts on different industries, and explores the latest techniques of permissionless and permissioned blockchains. Students will learn practical development skills in the two popular blockchain platforms (Ethereum and Hyperledger fabric) to understand blockchain programming and application development. | ||||
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| IT 2900SEF | Human Computer Interaction & User Experience Design | 3 | Higher | – |
| This course consists of two parts. In the first part, students will learn the important theories that underpin the way humans interact with computer-based systems. In the second part, students will learn how to use disciplined approaches to (a) design usable and intuitive interfaces for computer-based systems, and (b) evaluate and compare different interface design with respect to their usability and intended user/business requirements. This course introduces students to the key concepts, theories and best practices used by user experience engineers to design usable interfaces and improve the quality of interaction with computer-based systems. | ||||
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| STAT 2610SEF | Data Analytics with Applications | 3 | Higher | – |
| This course aims to introduce a range of topics and concepts related to the data science process. Students will learn what Data Science is and the skill sets needed to be a data scientist, how to use R to carry out basic statistical modeling and analysis. Students will also learn the significance of exploratory data analysis (EDA) in data science, the Data Science Process and how its components interact. | ||||
Other Activities: In addition to the development of technical knowledge and skills, students are expected to develop their soft skills such as teamwork and communication.
Students are encouraged to participate in various contests, seminars, and workshops for sharpening their competitiveness.
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| ENGL 1101AEF | 3 | Foundation | – | |
| ENGL 1202EEF | 3 | Foundation | – | |
Other Activities: In addition to the development of technical knowledge and skills, students are expected to develop their soft skills such as teamwork and communication.
Students are encouraged to participate in various contests, seminars, and workshops for sharpening their competitiveness.
| Code | Title | Credits | Course Level | Honours Classification |
|---|---|---|---|---|
| Course List | 3 | Depends on selection | – | |
| Course List | 3 | Depends on selection | – | |
Students admitted at the Year 2 Entry Point are required to complete 120^ credits of which no more than 12 credits should be taken at Foundation level during the nominal 3-year study period for the degree of Bachelor of Science with Honours in Computer Science.
^Note: A student who does not have sufficient mathematics and/or IT background may be required to take extra courses, IT S102F and/or MATH S141F. Thus, such student may be required to complete a total of 130 credits in order to fulfil programme requirements.
| Categories | Weightings |
|---|---|
| Core Computing Courses | 70 Credits |
| Project Courses and Elective Courses | 40 Credits |
| Outside-discipline Courses | 10 Credits |
| Total | 120 Credits |
| Code | Title | Category | Credits | Course Level | Honours Classification |
|---|---|---|---|---|---|
| IT S103F | Introduction to Internet Application Development | Core | 5 | Foundation | - |
| COMP 202F | Java Programming Fundamentals | Core | 5 | Middle | b |
| COMP 208F | Introduction to Computer Programming | Core | 5 | Middle | b |
| COMP 209F | Data Structures, Algorithms and Problem Solving | Core | 5 | Middle | b |
| COMP 264F | Discrete Mathematics | Core | 5 | Middle | b |
| COMP 266F | Computer Architecture | Core | 5 | Middle | b |
| COMP 267F | Operating Systems | Core | 5 | Middle | - |
| STAT 261F | Data Analytics with Applications | OD | 5 | Middle | - |
| Code | Title | Category | Credits | Course Level | Honours Classification |
|---|---|---|---|---|---|
| COMP S265F | Design and Analysis of Algorithms | Core | 5 | Middle | b |
| COMP S312F | Java Application Development | Core | 5 | Higher | a or b |
| COMP S313F | Mobile Application Programming | Core | 5 | Higher | a or b |
| COMP S320F | Database management | Core | 5 | Higher | a or b |
| COMP S350F | Software Engineering | Core | 5 | Higher | a or b |
| COMP S380F | Web Applications: Design and Development | Core | 5 | Higher | a or b |
| COMP S381F | Server-side Technologies and Cloud Computing | Core | 5 | Higher | a or b |
| IT S290F | Human Computer Interaction and User Experience Design | OD | 5 | Middle | b |
| Code | Title | Category | Credits | Course Level | Honours Classification |
|---|---|---|---|---|---|
| COMP S456F | Software System Development Project | Project | 10 | Higher | a |
| Elective Course | Elective | 5 | Higher | a or b | |
| Elective Course | Elective | 5 | Higher | a or b | |
| Elective Course | Elective | 5 | Higher | a or b | |
| Elective Course | Elective | 5 | Higher | a or b | |
| Elective Course | Elective | 5 | Higher | a or b | |
| Elective Course | Elective | 5 | Higher | a or b |
Students admitted at the Year 3 Entry Point are required to complete 80 credits during the nominal 2-year study period for the degree of Bachelor of Science with Honours in Computer Science.
| Categories | Weightings |
|---|---|
| Core Computing Courses | 35 Credits |
| Project Courses and Elective Courses | 40 Credits |
| Outside-discipline Courses | 5 Credits |
| Total | 80 Credits |
| Code | Title | Category | Credits | Course Level | Honours Classification |
|---|---|---|---|---|---|
| COMP S265F | Design and Analysis of Algorithms | Core | 5 | Middle | b |
| COMP S312F | Java Application Development | Core | 5 | Higher | a or b |
| COMP S313F | Mobile Application Programming | Core | 5 | Higher | a or b |
| COMP S320F | Database management | Core | 5 | Higher | a or b |
| COMP S350F | Software Engineering | Core | 5 | Higher | a or b |
| COMP S380F | Web Applications: Design and Development | Core | 5 | Higher | a or b |
| COMP S381F | Server-side Technologies and Cloud Computing | Core | 5 | Higher | a or b |
| IT S290F | Human Computer Interaction and User Experience Design | OD | 5 | Middle | b |
| Code | Title | Category | Credits | Course Level | Honours Classification |
|---|---|---|---|---|---|
| COMP S456F | Software System Development Project | Project | 10 | Higher | a |
| Elective Course | Elective | 5 | Higher | a or b | |
| Elective Course | Elective | 5 | Higher | a or b | |
| Elective Course | Elective | 5 | Higher | a or b | |
| Elective Course | Elective | 5 | Higher | a or b | |
| Elective Course | Elective | 5 | Higher | a or b | |
| Elective Course | Elective | 5 | Higher | a or b |
For existing students
The program is supported by Non-means-tested Subsidy Scheme (NMTSS). Eligible students will receive $33,200 subsidy per annum. Please refer to NMTSS's website for eligibility and more information.For new students
Starting from 2023 admission, the programme is included in the Study Subsidy Scheme for Designated Professions/Sectors (SSSDP) instead of NMTSS. Eligible students will receive $44,240 subsidy per annum.
This SSSDP programme normally admits students through JUPAS. The JUPAS code has be changed from JS9718 to JSSU72.
Please refer to SSSDP's website for eligibility and more information.
For Senior Year entry students, they may supported by Non-means-tested Subsidy Scheme (NMTSS). Eligible students will receive $33,200 subsidy per annum.
Please refer to NMTSS's website for eligibility and more information.
This programme provides multiple entry points: Year 1 Entry through JUPAS or Direct Application and Senior Year Entry through Direct Application at the HKMU website.
| Entry Points | Application Methods | Code |
|---|---|---|
| Year 1 Entry | JUPAS / Direct Application # | JSSU72 / BSCHCSJ1 # |
| Senior Year Entry | Direct Application | BSCHCSJS for Year 2 and 3 Entry |
#Students who are not sitting the HKDSE this year and have an equivalent qualification such as IB or GCE-A Level should apply through [Direct Application].
Students should normally have attained in the Hong Kong Diploma of Secondary Education (HKDSE) Examination results of Level 3 or above in Chinese and English, as well as Level 2 or above in Mathematics, Liberal Studies and an elective subject.
All courses are weighted the same. Please refer to JUPAS website for more JUPAS admission information
Tuition Fee after subsidy:
| SSSDP | NMTSS | |
|---|---|---|
| First Year | HK$34,610* | HK$45,120* |
| Total (4-Years) | HK$138,440* | HK$180,480* |
*Please refer to the JUPAS page for updates and details.
*The estimated tuition fees listed above are for reference only. Tuition fees are charged according to the number of course credits taken by a student. A student will normally take 40 credits in an academic year.
*The subsidy is tenable for the normal duration of the study programme concerned and is subject to the students' satisfactory fulfilment for progression in the study programme
| Entry Points | Admission Requirements |
|---|---|
| Year 2 | Recognized Associate Degree/Higher Diploma in any area |
| Year 3 | Recognized Associate Degree/Higher Diploma in computing or a closely related area |
Please refer to the program's website for below or more information
Full-time MUHK Computing students with outstanding academic performance and other achievements may be nominated for scholarships and other awards in a competitive manner.
This page provides general information about studying in the BSCHCSJ programme. If you have any question or in doubt, please contact the programme leader.
Students should follow the prescribed study schedule as given above in this section. Normally a student should take 20 credits in a term or 40 credits in a year, unless a schedule with deviated loading is specifically prescribed.
During the course registration before the commencement of terms, students are usually pre-enrolled with recommended courses (with the exception of General Education courses).
Most GE, English, elective courses have a registration quota, and course places are offered to students usually in a first-come-first-serve manner during the course registration period arranged by the Registry. Some students may be unable to select a desired elective course.
To pass a course, students need to pass the course score as well as both overall continuous assessment score (OCAS) and the overall examination score (OES). Students who failed to complete a course should retake the course in the next presentation, or if the course is an elective course, retake the same course or another course with the same category/label (except for the project courses).
Students retaking courses often results in heavier than full-credit loading. They should work out a revised study plan with reasonable level of credit loading and with suitable courses (see the following sub-section on course pre-requisites). They are encouraged to discuss with the programme leader.
As far as possible, course scheduling would allow retaking a course failed in the previous level (retaking a Year 2 course while studying Year 3). However, class timetable clash is quite likely in other cases (such as retaking a Year 2 course while in Year 4). Students may take the course in distance learning mode if it is available. If not, then it could prolong the study duration due to unable to schedule some courses.
Students may be given a Fail-Resit, which means that the students are given a second chance to sit the examination. This arrangement is essential a grace. Normally the students will sit the final examination in the next regular offering of the course.
Mandatory course pre-requisites are conditions that a student must fulfil before taking a course. At the moment, only project courses have mandatory pre-requisites. Please refer to the Course Synopsis section for details.
The absence of mandatory course pre-requisites, however, does not imply that there is no background knowledge considered to be important for successfully complete the course.
Normally students following the prescribed schedule would be considered to be fulfilling the minimal background knowledge for the scheduled courses.
However, students who failed to complete courses in the past may not have the minimal background knowledge for the scheduled courses. They should refer to the advisory course pre-requisites for references on selecting the next courses. They should also discuss with the programme leader about course selection and adding/dropping courses.
The normative period of study of BSCHCSJ is:
The maximum period of study of BSCHCSJ students should be the normative period of study plus 2 years (N+2 years).
Students who fail to complete all graduation requirements of BSCHCS within the maximum period of study shall discontinue their study in full-time face-to-face mode.
The tentative offering schedule for IT elective courses is given below:
COMP S333F Advanced Programming and AI Algorithms
COMP S362F Concurrent and Network Programming
COMP S390F Creative Programming for Games
ELEC S305F Computer Networking
ELEC S348F IOT Security
COMP S321F Advanced Database and Data Warehousing
COMP S351F Software Project Management
COMP S363F Distributed Systems and Parallel Computing
COMP S382F Data Mining and Analytics
COMP S492F Machine Learning
ELEC S371F Digital Forensics
ELEC S425F Computer and Network Security
ELEC S431F Blockchain Technologies
There is a final year project courses:
There are general pre-requisites for these project courses. Please refer to the Course Synopsis section for the details.
Normally a list of project topics is available in July or August, and students (or teams of students) submit nominations of a few desired project topics. The project topics are then allocated based on Year GPA, specific skills related to the project topic, and aptitude of students. Refer to the documentation for the final year project courses for the latest details.
For students studying in their final year curriculum in 2021/2022
Tentative and subject to change
The final year project course is probably the most important course in the programme. Students will be required to integrate what they have learned and to solve a non-trivial problem.
Students taking the course must fulfill the mandatory per-requisites, or they would have to wait until the per-requisites are met next year.
This is an group project course.
Students will attempt a final year project which should provide an opportunity to integrate knowledge and skills acquired in the programme of study. Students will form a team to handle one project. Performance will be assessed both at the project level and the individual level. After the course, students should be able to explain the current state of development in the application domain similar to his or her project area, to design, propose, implement and evaluate software system solutions. Students should also be able to collaboratively manage a software system development project and to write effective project reports.
Mandatory Pre-requisites: Students must (1) pass at least 20 credits of COMPS311F, COMPS356F and/or COMPS358F, and (2) have completed at least 105 credits for Year 1 entry, 70 credits for Year 2 entry and 30 credits for Year 3 entry students respectively.
Year 3 students should start prepare for the Final Year Project course as soon as the Year 3 curriculum ends. There are activities related to the Final Year Project course in the summer period before Year 4.
The Final Year Project is very challenging, and it is another level of difficulty compared to your Year 3 courses. Please prepare well before taking this course.
| ID | Topic | Supervisor | Type |
|---|---|---|---|
| 1 | Gamification Of Education | Mr Kevin Tse | SI |
| 2 | Applications With Augmented Reality (AR) | Mr Kevin Tse | SI |
| 3 | Computational Intelligence Techniques for Financial Engineering | Dr Henry Leung | AD |
| 4 | A Mobile App for Kids to Learn Basic Programming Techniques | Dr Henry Leung | SI |
| 5 | Automatic Subtitles Generator | Dr Jeff Au Yeung | SI/AD |
| 6 | Advanced Video Coding System | Dr Jeff Au Yeung | AD |
| 7 | Smart Home Application using Embedded Systems | Dr Jeff Au Yeung | SI/TE |
| 8 | Using Deep Learning Technology for the Disabled | Dr Jeff Au Yeung | SI/AD |
| 9 | Industry-based Projects 1 – TFI Digital Limited | Dr Jeff Au Yeung | SI/TE |
| 10 | Industry-based Projects 2 – Hong Kong Applied Science and Technology Research Institute | Dr Jeff Au Yeung | TE/AD |
| 11 | Gamification for Learning Java Programming for Beginners | Ms Terri Wong | SI |
| 12 | A Mobile App for Improving Flexibility of Learning Structure Query Language (SQL) | Ms Terri Wong | SI |
| 13 | Recommender Systems in Digital Marketing | Dr Voyce Li | SI |
| 14 | Social Media Analytics and Rumour Detection | Dr Voyce Li | SI/AD |
| 15 | Deep Learning for Image Processing | Dr Voyce Li | AD |
| 16 | Developing Conversation Skills with Chatbots | Prof Andrew Lui | SI |
| 17 | Research in Active Learning Algorithms | Prof Andrew Lui | AD |
| 18 | Smartphone Applications with Intelligent Use of Data and Sensors | Prof Andrew Lui | SI |
| 19 | AI-based Smart Urban Home Ventilation System | Mr Jackey Cheung | SI/AD |
| 20 | Smart Chatbot for Tourists | Mr Jackey Cheung | SI |
| 21 | The BlockChain applications for personal health system | Mr Jackey Cheung | SI |
| 22 | Applications for Education | Dr Keith Lee | SI |
| 23 | Rumor Detection on the Internet | Dr Keith Lee | SI/AD |
| 24 | Electronic Fraud Detection | Dr Keith Lee | SI/AD |
| 25 | Automated assessment of programming exercises | Dr CM Tang | SI/AD |
| 26 | Fault localization of student programs | Dr CM Tang | SI/TE |
| 27 | An AI application for MPF Portfolio Management | Mr Tommy Kwok | SI/AD |
| 28 | An Intelligent Application in Searching an Available Washroom in a Large Shopping Mall | Mr Tommy Kwok | SI/AD |
For students who are eligible to study the FYP courses in 2021/2022
FYP nomination period is completed.
Each academic staff has a maximum number of FYP supervision workload, and unable to take up more if the maximum is reached. Unfortunately, a group did not receive an allocation in the first-round and the issue has been resolved with a quick second-round allocation.
Many groups received their first preference.
A student who will not enroll in a project course by beginning of Week 6 will be removed from the group and the allocation.
| CHOICE | PERCENTAGE |
|---|---|
| First Choice | 78% |
| Five Choices | 97% |
| No Allocation | 2% |
| NAME | TOPIC | SUPERVISOR | |
|---|---|---|---|
| GURUNG Apan | 1 | Gamification Of Education | Mr Kevin Tse |
| LAU Pui Yu | 12 | A Mobile App for Improving Flexibility of Learning Structure Query Language (SQL) | Ms Terri Wong |
| LEUNG Sau Ting | 22 | Applications for Education | Dr Keith Lee |
| WONG Tsun Kit | 25 | Automated assessment of programming exercises | Dr CM Tang |
| LAM Chung Yi | 7 | Smart Home Application using Embedded Systems | Dr Jeff Au Yeung |
| GROUP | TOPIC | SUPERVISOR | |
|---|---|---|---|
| A4 | 18 | Smartphone Applications with Intelligent Use of Data and Sensors | Prof Andrew Lui |
| Action Now | 16 | Developing Conversation Skills with Chatbots | Prof Andrew Lui |
| AMD YES! | 11 | Gamification for Learning Java Programming for Beginners | Ms Terri Wong |
| Ameo | 21 | The BlockChain applications for personal health system | Mr Jackey Cheung |
| Bear | 3 | Computational Intelligence Techniques for Financial Engineering | Dr Henry Leung |
| Cat | 1 | Gamification Of Education | Mr Kevin Tse |
| Deadlinefighter | 1 | Gamification Of Education | Mr Kevin Tse |
| Freerider | 21 | The BlockChain applications for personal health system | Mr Jackey Cheung |
| Gang Gang | 11 | Gamification for Learning Java Programming for Beginners | Ms Terri Wong |
| God Bless You | 28 | An Intelligent Application in Searching an Available Washroom in a Large Shopping Mall | Mr Tommy Kwok |
| Golden Skeleton | 22 | Applications for Education | Dr Keith Lee |
| Headcrab | 20 | Smart Chatbot for Tourists | Mr Jackey Cheung |
| HelloWorld | 22 | Applications for Education | Dr Keith Lee |
| HelloWorldAgain | 9 | Industry-based Projects 1 – TFI Digital Limited | Dr Jeff Au Yeung |
| HKMM | 7 | Smart Home Application using Embedded Systems | Dr Jeff Au Yeung |
| Hustle | 20 | Smart Chatbot for Tourists | Mr Jackey Cheung |
| IN_Din | 13 | Recommender Systems in Digital Marketing | Dr Voyce Li |
| ITTK | 16 | Developing Conversation Skills with Chatbots | Prof Andrew Lui |
| KF | 22 | Applications for Education | Dr Keith Lee |
| MATRIX | 3 | Computational Intelligence Techniques for Financial Engineering | Dr Henry Leung |
| NB | 14 | Social Media Analytics and Rumour Detection | Dr Voyce Li |
| Newtyte | 1 | Gamification Of Education | Mr Kevin Tse |
| No Rules | 28 | An Intelligent Application in Searching an Available Washroom in a Large Shopping Mall | Mr Tommy Kwok |
| Olive Oil | 18 | Smartphone Applications with Intelligent Use of Data and Sensors | Prof Andrew Lui |
| PSVM | 26 | Fault localization of student programs | Dr CM Tang |
| Scem | 16 | Developing Conversation Skills with Chatbots | Prof Andrew Lui |
| SleepyNeko | 8 | Using Deep Learning Technology for the Disabled | Dr Jeff Au Yeung |
| Smarthome | 7 | Smart Home Application using Embedded Systems | Dr Jeff Au Yeung |
| Team haha | 11 | Gamification for Learning Java Programming for Beginners | Ms Terri Wong |
| The Present | 10 | Industry-based Projects 2 – Hong Kong Applied Science and Technology Research Institute | Dr Jeff Au Yeung |
| UnderITdog | 19 | AI-based Smart Urban Home Ventilation System | Mr Jackey Cheung |
| Upstreamers | 16 | Developing Conversation Skills with Chatbots | Prof Andrew Lui |
| WASD | 23 | Rumor Detection on the Internet | Dr Keith Lee |
| Whale | 1 | Gamification Of Education | Mr Kevin Tse |
| Wolf | 11 | Gamification for Learning Java Programming for Beginners | Ms Terri Wong |
| Yama | 20 | Smart Chatbot for Tourists | Mr Jackey Cheung |
| GROUPNAME | COORDINATOR | MEMBER | MEMBER | MEMBER |
|---|---|---|---|---|
| A4 | 1223799X Lam Hoi Hung | 1260229X Wong Pui Fung | 1224192X Lau Cheuk Hei | 1261324X Cheung Chung Yin |
| Action Now | 1224344X Shum Ka Ming | 1267006X Wong Ka Ho | 1224639X Cheng Wong Kwan | 1250544X Tin Wai Ming |
| AMD YES! | 1256100X Ip Hon Nok | 1262238X Au Ka Ho | 1254224X Wong Ka Hei | 1255488X Yim Tsz Pui |
| Ameo | 1212985X Chan Chun Ho | 1256554X Chan Yin Hon | 1230600X Chan Ho Him | 1237043X Ng Yuen Yan |
| Bear | 1255536X HUNG Wai Chak | 1258659X TSOI Siu Fung | 1259803X CHENG Yiu Hang | 1254975X LAM Chun Hin |
| Cat | 1254319X Po Hon Ting | 1255332X Chau Hok Yung | 1257325X Cheng Sze Wa | 1256144X Tsang Cheuk Hin |
| Deadlinefighter | 1254304X Lam Ho | 1253951X Ling Tsz Wo | 1266913X Kon Yuen Lam | 1259928X Wong Lam |
| Freerider | 1263120X Li Ka Kit | 1253400X Chong Wan Si | 1253040X PAN Yichang | 1195754X YOU Zhihao* |
| Gang Gang | 1209026X Yau Wai Kwan | 1254445X Chan Hiu Chung | 1253650X Cheung Kam Ching | 1224828X To Ki Fung |
| God Bless You | 1222072X Yu Hoi Kin | 1247083X Cheung Ho Lung | 1238366X Shao Ziyang | 1231989X Zhang Tianyu |
| Golden Skeleton | 1252323X Suen Chi Hong | 1252973X Ho Chun Hei | 1262871X Lam Chak Wai | 1260141X Ng Wai Pang |
| Headcrab | 1224627X Ho Yat Chuen | 1224330X Chue Wing Chun | 1241962X Kwok Siu Wa | 1259174X SHI Wei Hui |
| HelloWorld | 1224149X Wong Hoi Kiu | 1224381X KO Man Yung | 1219976X Chan Yuk Ting | 1212592X Wu Man Cheung |
| HelloWorldAgain | 1259281X NG Ho Yeung | 1255339X FUNG Tsz Yeung | 1267178X YEUNG Kwok Yee | |
| HKMM | 1259517X Kwong Chin Pang | 1258275X Hui Hung Chak | 1256936X Ma Sui Hei | 1255886X Mok Chun Chung |
| Hustle | 1262308X Ho Wai Him | 1261382X LI Kunyao | 1261664X CHOI Yiu Lun | 1254023X NG Tsz Kin* |
| IN_Din | 1255130X Leung Hoi Ming | 1256718X Chan Ho Yi Enzo | 1254310X Tang Chung Kong | |
| ITTK | 1259313X Yip Cho Tim | 1256768X Mak Chuen Kit | 1256568X Tong Ki Shu | 1252701X Lui Siu Ming |
| KF | 1253640X Chan Hang Kit | 1252441X Chan Kin Kong | 1250151X Wong Yat Fung | |
| MATRIX | 1223813X Abdullah Jawaid | 1210888X Kwok Chun Hei | 1223872X Ip Sai Wang | 1223812X Yan Shing |
| NB | 1250193X Tsang Cheuk Him, Anson | 1255069X Chen Junye | 1238793X Guan Jun Bin | 1250215X Zhou Huipeng |
| Newtyte | 1254410X CHEUNG Ka Kit | 1216491X LENG Yupei | 1216814X WEN Chujie | 1218651X Huang changqi |
| No Rules | 1260545X LEE HO YIN | 1254985X JE HO WANG | 1260377X YAT WONG | 1254263X Tang Tsz Ho |
| Olive Oil | 1258464X Lee Sze Chit | 1251779X WONG TSZ HIM | 1256915X Chan wing yeung | 1257300X Chan Wing Lok |
| PSVM | 1245176X WONG HO FAI | 1236312X Ng Tsz Kin | 1233965X Wong Hoi Wang | |
| Scem | 1235987X Mak Shun Sang Samson | 1224283X Yung Yuen To | 1241323X CHEN SHAOGANG | 1224048X Chan Ka Yu |
| SleepyNeko | 1224713X Yu Rui Feng | 1224552X Chan Min Hong | 1215193X Cheng Lok Tung | 1204281X Kwong Wing Man |
| Smarthome | 1255297X Chen Richuan | 1241745X Huang Zhongxia | 1255351X Lau Yan Miu | 1190274X Chan Yee Ka |
| Team haha | 1258710X Yau Yi | 1262005X Chung Shuk Wai | 1259748X Chiang pak weng bryan | 1223997X Chan chun yu |
| The Present | 1255539X LUI, Tung Lam | 1219008X LI, Zhenyou | 1260180X CHANDWANEY, Jatin Vimal | 1218826X LI Zeliang |
| UnderITdog | 1256951X LUI Kwok Ho | 1250495X LEUNG Chun Wai | 1261047X CHU Kai Ho | 1235868X CHAN Chi Lok* |
| Upstreamers | 1218650X Shao Jiawei | 1218970X WANG Weiran | 1217914X Chen Dingyuan | 1218223X Wang Hao |
| WASD | 1255512X Lee Cheuk Yin Ian | 1146297X Chan Tsz On | 1256461X Lam Kwan Long | 1262576X Chenug Ka Lok |
| Whale | 1264362X Cheung Kam Tim | 1264552X Ng Wai Ming | 1264373X Fan Kai Ling | 1261483X Cheung Ching |
| Wolf | 1253750X Lee Ho Yin | 1253693X Hoi Wai San | 1253908X Ho Man Ho | |
| Yama | 1224171X Lam Ho Yin | 1224527X Leung Siu Yu | 1224004X Pun Man Hei | 1223978X CHU Hoi Ying |
