Full-time Programmes

School of Science and Technology Computing   Programmes   Full-time Programmes  
  • Bachelor of Computing with Honours in Internet Technology
  • Bachelor of Science with Honours in Computer Science
  • Bachelor of Science with Honours in Data Science and Artificial Intelligence
  • Bachelor of Arts with Honours in Computing and Interactive Entertainment

Bachelor of Computing with Honours in Internet Technology

互聯網科技榮譽電腦學學士

Face-to-Face Full-time SSSDP JSSU71 BCOMPHITJS
  • Overview
  • Curriculum
  • Study Plan
  • Admission

Introduction

The Bachelor of Computing with Honours in Internet Technology programme (BCOMPHITJ/JUPAS JSSU71) aims to provide graduates with the breadth of an advanced understanding of theories and practices in the field of computing.

The study pathway of this programme will allow students to explore all aspects of computing, as well as specialized topics such as internet technology on a practical and theoretical level.

Intended Learning Outcomes

On successful completion of the BCOMPHITJ programme, students should be able to:
  • Perform the work of a computing professional competently.
  • Utilize computer programming for problem-solving.
  • Analyse critically the computing needs in various contexts in the society.
  • Formulate and integrate computing solutions with techniques in relational databases, object-oriented programming, computing - theories, and computer system design.
  • Apply, independently and collaboratively, software engineering methods for developing software systems to meet practical budgetary and operational constraints.
  • Demonstrate proficiency in language communication and information literacy.
  • Deal with current issues in computing by keeping abreast of professional knowledge and techniques in the global context.
  • Command knowledge and skills of advanced areas in Internet Technology and demonstrate awareness of the important issues as a professional in the field.
  • Apply specialized knowledge and skills in Internet technologies for developing computing solutions for complex problems.

Graduates at the honours level will also have an in-depth understanding of a specialized sub-area of computing, that is Internet Technology, especially in developing applications on and for the Internet.

This programme, which is in full-time face-to-face mode, was first offered in 2004. It has since produced over 1000 graduates.

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.

This programme provides multiple entry points: Year 1 Entry through JUPAS and Senior Year Entry through Direct Application at the HKMU website.

Entry PointsApplication MethodsCode
Year 1 EntryJUPAS / Direct Application #JSSU71 / BCOMPHITJ1 #
Senior Year EntryDirect ApplicationBCOMPHITJS 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].

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.

Some major academic prizes received since 2010 are listed below:

Prizes and AwardsTotal Number of AwardsTop Three In Years
IEEE Student Paper Contest72010, 2011, 2013, 2015,2018,2020,2021
IEEE Computational Intelligence Chapter FYP Competition102013 (x2), 2016, 2017 (x2), 2018, 2019, 2020 (x2),2021
Other Major Awards172013
Career Prospects

Graduates from our Bachelor of Computing with Honours in Internet Technology programme are qualified to work as programmers, software engineers, analyst programmers, information technology officers, and other entry-level roles in the exciting and growing field of IT.

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.

Further Studies

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.


Enquiries

Department of Electronic Engineering and Computer Science

Tel: 2768 5904

Email: cteam@hkmu.edu.hk

Programme Leader

Dr. Au Yeung Siu Kei Jeff

Tel: 2768 6876

Email: jauyeung@hkmu.edu.hk

Programme Structure

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.

CodeTitleCreditsCourse LevelHonours Classification
IT S102FComputing Fundamentals5Foundation

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.


CodeTitleCreditsCourse LevelHonours Classification
IT S103FIntroduction to Internet Application Development5Foundation

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.

CodeTitleCreditsCourse LevelHonours Classification
COMP S202FJava Programming Fundamentals5Middleb

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.


CodeTitleCreditsCourse LevelHonours Classification
COMP S203FIntermediate Java Programming and User Interface Design5Middleb

This course aims to provide students with more knowledge in Java programming as well as an introduction to user interface design. Students will study how to design computer user interface, and develop graphical-based computer programs using the Java programming language.

Students will also study how to analyse more difficult problems and apply object-oriented methodology in development.


CodeTitleCreditsCourse LevelHonours Classification
COMP S208FIntroduction to Computer Programming5Middleb

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.


CodeTitleCreditsCourse LevelHonours Classification
COMP S209FData Structures, Algorithms, and Problem Solving5Middleb

As a sequel to COMPS208F, 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.


CodeTitleCreditsCourse LevelHonours Classification
COMP S264FDiscrete Mathematics5Middleb

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.


CodeTitleCreditsCourse LevelHonours Classification
COMP S265FDesign and Analysis of Algorithms5Middleb

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.

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.

CodeTitleCreditsCourse LevelHonours Classification
COMP S266FComputer Architecture5Middleb

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.


CodeTitleCreditsCourse LevelHonours Classification
COMP S267FOperating Systems5Middleb

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.


CodeTitleCreditsCourse LevelHonours Classification
COMP S312FJava Application Development5Highera or b

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.


CodeTitleCreditsCourse LevelHonours Classification
COMP S313FMobile Application Programming5Highera or b

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.


CodeTitleCreditsCourse LevelHonours Classification
COMP S320FDatabase Management5Highera or b

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.


CodeTitleCreditsCourse LevelHonours Classification
COMP S321FAdvanced Database and Data Warehousing5Highera or b

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.


CodeTitleCreditsCourse LevelHonours Classification
COMP S350FSoftware Engineering5Highera or b

he 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.


CodeTitleCreditsCourse LevelHonours Classification
COMP S351FSoftware Project Management5Highera or b

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.

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.

CodeTitleCreditsCourse LevelHonours Classification
COMP S451FComputing Project20Highera or b

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 handle one project individually and independently.

After the course, students should be able to explain the state-of-the-art computing and Internet applications related to his/her project, analyze problems and propose solution, implement the proposed solutions with advanced development tools and write effective project reports.

Mandatory Pre-requisites: Please be mindful that students must pass all Year 3 (non-English Language Enhancement) courses (40 credits) and obtain GPA 3.0 or above in the Year 3 courses.


CodeTitleCreditsCourse LevelHonours Classification
COMP S456FSoftware System Development Project10Highera or b

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 COMPS312F, COMPS313F, COMPS320F, COMPS321F, COMPS350F and/or COMPS351F, 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.

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.

CodeTitleCreditsCourse LevelHonours Classification
COMPS 333FAdvanced Programming and AI Algorithm5Highera or b

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.


CodeTitleCreditsCourse LevelHonours Classification
COMP S362FConcurrent and Networks Programming5Highera or b

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.


CodeTitleCreditsCourse LevelHonours Classification
COMP S363FDistributed Systems and Parallel Computing5Highera or b

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.


CodeTitleCreditsCourse LevelHonours Classification
COMP S380FWeb Applications: Design and Development5Highera or b

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.


CodeTitleCreditsCourse LevelHonours Classification
COMP S381FServer-side Technologies and Cloud Computing5Highera or b

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.


CodeTitleCreditsCourse LevelHonours Classification
COMP S382FData Mining and Analytics5Highera or b

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.


CodeTitleCreditsCourse LevelHonours Classification
COMP S390FCreative Programming for Games5Highera or b

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.


CodeTitleCreditsCourse LevelHonours Classification
COMP S413FApplication Design and Development on Mobile Devices5Highera or b

The course aims to provide students with a foundation in designing and developing applications for mobile devices. It enables students to understand the principle and learn skills to create and deploy mobile applications with a mobile programming platform.

Advisory Pre-requisites: Students should have completed most computing courses and should have a solid knowledge in Java.


CodeTitleCreditsCourse LevelHonours Classification
COMP S492FMachine Learning5Highera or b

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.


CodeTitleCreditsCourse LevelHonours Classification
ELEC S305FComputer Networking5Highera or b

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.


CodeTitleCreditsCourse LevelHonours Classification
ELEC S363FAdvanced Computer Design5Highera or b

This course should allow those students who have studied basic computer architecture to delve deeper into the technologies for achieving high performance computing.

This course also covers design of modern personal computer design. Topics covered include advanced CPU design, pipelining, hyper-threading, dynamic execution and advanced memory system design issues such as caching and performance. The course will also cover case studies of key CPU architectures, and advanced topics such as design of FPU, GPU, high performance I/O, and parallel computers.

Advisory Pre-requisites: Students should have completed most foundation, middle and higher level computing courses.


CodeTitleCreditsCourse LevelHonours Classification
ELEC S425FComputer and Network Security5Highera or b

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 S305F.

CodeTitleCreditsCourse LevelHonours Classification
ELEC S201FBasic Electronics5Middleb

The aim of this course is to provide students with the basic principles of electronic circuits and devices for analyzing simple circuits, and the characteristics of some commonly used electronic devices.


CodeTitleCreditsCourse LevelHonours Classification
ELEC S421FBiomedical Informatics5Highera or b

This course aims to give a systematic overview of biomedical informatics from the engineering perspective. It starts with an overview of the different types of biomedical signals, biomedical images, and medical information. The core contents will focus on the working principles and algorithms for the digital processing, analysis, and archiving of biomedical signals, images, and data. Case studies, regulatory issues, and emerging trends will be discussed.


CodeTitleCreditsCourse LevelHonours Classification
IT S290FHuman Computer Interaction and User Experience Design5Middleb

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.


CodeTitleCreditsCourse LevelHonours Classification
STAT S251FStatistical Data Analysis5Middleb

This course offers a practical training experience to help students to develop an analyst’s approach to collect and manage scientific data. The course will equip students with important data analytics tools and techniques that include statistical data analytics skills, data visualization, statistical experiments, sampling and inferential statistics, interpretation and decision making to increase credibility and reliability of problem solving.

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.

CodeTitleCreditsCourse LevelHonours Classification
Course List5Depends on selection
Course List5Depends on selection

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.

CodeTitleCreditsCourse LevelHonours Classification
Course List5
Course List5
Course List5
Course List5

Study Plan

  • Year 1 Entry
  • Year 2 Entry
  • Year 3 Entry

Students admitted at the Year 1 Entry Point are required to complete 160 credits during the nominal 4-year study period for the degree of Bachelor of Computing with Honours in Internet Technology.

CategoriesWeightings
Core Computing Courses80 Credits
Project Courses and Elective Courses40 Credits
Outside-discipline Courses10 Credits
English Enhancement Courses10 Credits
General Education Courses20 Credits
Total160 Credits
  • Year 1
  • Year 2
  • Year 3
  • Year 4
CodeTitleCategoryCreditsCourse LevelHonours Classification
IT S102FComputing FundamentalsCore5Foundation-
IT S103FIntroduction to Internet Application DevelopmentCore5Foundation-
COMP S208FIntroduction to Computer ProgrammingCore5Middleb
COMP S209FData Structures, Algorithms and Problem SolvingCore5Middleb
English Enhancement CourseENG5Depends on selection-
English Enhancement CourseENG5Depends on selection-
General Education CourseGE5--
General Education CourseGE5--
CodeTitleCategoryCreditsCourse LevelHonours Classification
COMP S202FJava Programming FundamentalsCore5Middleb
COMP S203FIntermediate Java Programming and User Interace DesignCore5Middleb
COMP S264FDiscrete MathematicsCore5Middleb
COMP S265FDesign and Analysis of AlgorithmCore5Middleb
Outside-discipline CourseOD5Depends on selectionDepends on selection
Outside-discipline CourseOD5Depends on selectionDepends on selection
General Education CourseGE5--
General Education CourseGE5--
CodeTitleCategoryCreditsCourse LevelHonours Classification
COMP S266FComputer ArchitectureCore5Middleb
COMP S267FOperating SystemsCore5Middleb
COMP S312FJava Application DevelopmentCore5Highera or b
COMP S313FMobile Application ProgrammingCore5Highera or b
COMP S320FDatabase managementCore5Highera or b
COMP S321FAdvanced Database and Data WarehousingCore5Highera or b
COMP S350FSoftware EngineeringCore5Highera or b
COMP S351FSoftware Project ManagementCore5Highera or b

There are 2 project courses available for students to select 1 of them.

The number of elective courses required to take in this year depends on which project course the student select.

Students selected COMP S451F

CodeTitleCategoryCreditsCourse LevelHonours Classification
COMP S451FComputing ProjectProject20Highera or b
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b



Students selected COMP S456F

CodeTitleCategoryCreditsCourse LevelHonours Classification
COMP S456FSoftware System Development ProjectProject10Highera or b
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b
The programme requirements & the courses on offer are subject to amendment

Students admitted at the Year 2 Entry Point are required to complete 125 credits during the nominal 3-year study period for the degree of Bachelor of Computing with Honours in Internet Technology.

CategoriesWeightings
Core Computing Courses70 Credits
Project Courses and Elective Courses40 Credits
Outside-discipline Courses5 Credits
English Enhancement Courses10 Credits
Total125 Credits
  • Year 2
  • Year 3
  • Year 4
CodeTitleCategoryCreditsCourse LevelHonours Classification
COMP S202FJava Programming FundamentalsCore5Middleb
COMP S203FIntermediate Java Programming and User Interace DesignCore5Middleb
COMP S208FIntroduction to Computer ProgrammingCore5Middleb
COMP S209FData Structures, Algorithms and Problem SolvingCore5Middleb
COMP S264FDiscrete MathematicsCore5Middleb
COMP S265FDesign and Analysis of AlgorithmCore5Middleb
Outside-discipline CourseOD5Depends on selectionDepends on selection
English Enhancement CourseENG5Depends on selection-
English Enhancement CourseENG5Depends on selection-
CodeTitleCategoryCreditsCourse LevelHonours Classification
COMP S266FComputer ArchitectureCore5Middleb
COMP S267FOperating SystemsCore5Middleb
COMP S312FJava Application DevelopmentCore5Highera or b
COMP S313FMobile Application ProgrammingCore5Highera or b
COMP S320FDatabase managementCore5Highera or b
COMP S321FAdvanced Database and Data WarehousingCore5Highera or b
COMP S350FSoftware EngineeringCore5Highera or b
COMP S351FSoftware Project ManagementCore5Highera or b

There are 2 project courses available for students to select 1 of them.

The number of elective courses required to take in this year depends on which project course the student select.

Students selected COMP S451F

CodeTitleCategoryCreditsCourse LevelHonours Classification
COMP S451FComputing ProjectProject20Highera or b
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b



Students selected COMP S456F

CodeTitleCategoryCreditsCourse LevelHonours Classification
COMP S456FSoftware System Development ProjectProject10Highera or b
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b
The programme requirements & the courses on offer are subject to amendment

Students admitted at the Year 3 Entry Point are required to complete 85 credits during the nominal 2-year study period for the degree of Bachelor of Computing with Honours in Internet Technology.

CategoriesWeightings
Core Computing Courses40 Credits
Project Courses and Elective Courses40 Credits
English Enhancement Courses5 Credits
Total85 Credits
  • Year 3
  • Year 4
CodeTitleCategoryCreditsCourse LevelHonours Classification
COMP S266FComputer ArchitectureCore5Middleb
COMP S267FOperating SystemsCore5Middleb
COMP S312FJava Application DevelopmentCore5Highera or b
COMP S313FMobile Application ProgrammingCore5Highera or b
COMP S320FDatabase managementCore5Highera or b
COMP S321FAdvanced Database and Data WarehousingCore5Highera or b
COMP S350FSoftware EngineeringCore5Highera or b
COMP S351FSoftware Project ManagementCore5Highera or b
 English Enhancement CourseENG5Depends on selection-

There are 2 project courses available for students to select 1 of them.

The number of elective courses required to take in this year depends on which project course the student select.

Students selected COMP S451F

CodeTitleCategoryCreditsCourse LevelHonours Classification
COMP S451FComputing ProjectProject20Highera or b
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b



Students selected COMP S456F

CodeTitleCategoryCreditsCourse LevelHonours Classification
COMP S456FSoftware System Development ProjectProject10Highera or b
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b
The programme requirements & the courses on offer are subject to amendment

Subsidy

JUPAS Entry

Starting from 2018 admission, the JUPAS entry point of the programme is included in the Study Subsidy Scheme for Designated Professions/Sectors (SSSDP). Eligible students will receive $44,240 subsidy per annum.

This SSSDP programme normally admits students through JUPAS. The JUPAS code has be changed from JS9717 to JSSU71.

Please refer to SSSDP's website for eligibility and more information.


Senior Year Entry

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.


Admission

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 PointsApplication MethodsCode
Year 1 EntryJUPAS / Direct Admission #JSSU71 / BCOMPHITJ1
Senior Year EntryDirect ApplicationBCOMPHITJS 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].

Admission Requirements

JUPAS Admission

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


First Year Tuition Fee *

The amount of subsidy for the JSSU71 programme under the SSSDP is HK$44,240 per annum. 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. The government's terms and conditions apply.

Tuition Fee after SSSDP subsidy:

First YearHK$34,080*
TotalHK$136,320*

*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


Senior Year Entry

This programme has offered degree articulation opportunities for local Higher Diploma and Associate Degree holders since 2006.

The curriculum is designed to be academically rich and practically oriented for preparing local sub-degree holders to become highly competent computing professionals.

Students admitted at a senior year entry point will join other students from Year 1 entry in pursuing of the degree. They can make use of the chance to build a strong personal network with their peers and many alumni of this programme who are doing well in their career.

Entry PointsAdmission Requirements
Year 2Recognized Associate Degree/Higher Diploma in any area
Year 3Recognized Associate Degree/Higher Diploma in computing or a closely related area
Admission Application

Students interested in this programme should apply through non-JUPAS Direct Application. The programme code is BCOMPHITJS for both Year 2 and Year 3 entry.


Please refer to the program's website for below or more information

  • Application Procedures
  • Online Application
  • Tuition Fees, Scholarships and Financial Assistance

Scholarships and Awards

Full-time MUHK Computing students with outstanding academic performance and other achievements may be nominated for scholarships and other awards in a competitive manner.

List of scholarships awarded to computing students in past years:

  • HKSAR Government Self-financing Post-secondary Scholarship Scheme (SPSS) Outstanding Performance Scholarship
  • HKSAR Government Self-financing Post-secondary Scholarship Scheme (SPSS) Talent Development Scholarship
  • HKSAR Government Self-financing Post-secondary Scholarship Scheme (SPSS) Best Progress Award
  • HSBC Hong Kong Scholarship
  • Lee Hang Yau Memorial Scholarship
  • Lu Sin Memorial Scholarship
  • Stanley Ko Scholarship
  • The Open University of Hong Kong Alumni Scholarship
  • Youth-Arch OUHK Improvement Scholarship
  • AIA Foundation Scholarship

Frequently Asked Questions (FAQ)

Will I indicate my preferred entry point in the application?
  • You need not indicate the entry point.
  • Unless you inform us of your preference during or after the interview, you will be considered for Year 2 or Year 3 according to the admission requirement. Normally, a holder of HD/AD in computing area will be considered for Year 3 entry.
Does my Higher Diploma or Associate Degree satisfy Year 3 admission?
Will there be an admission interview?
  • Selected applicants will be invited to an interview. Interviews play an important role in our admission decision.
  • Usually takes 40-minute and in group interview format with 3 to 8 students in each group. Get prepared for a concise self-introduction.
  • The qualities that will be assessed during the interview include personal attitude, English language competence, academic competence and aspirations.
If I miss an arranged interview, may I apply for re-scheduling?
  • If you have to miss an arranged interview, you may call the admission office 3120-2589 immediately to apply for re-scheduling.
  • Re-scheduling may not be possible due to timing and other issues, and it is offered at the discretion of the university.
My HD/AD is non-computing but I am optimistic on the IT employment prospect. Can I apply for this programme?
  • This programme is suitable for HD/AD holders from other disciplines to switch to IT/Computing career. These students will start from Year 2 for developing fundamental programming and computing techniques.

Many Year 2 Entry students achieved high performance in the past when they successfully integrated their knowledge in other areas such as business and multimedia with computing techniques.

Dr. Andrew Lui - School of Science and Technology

Will there be a standard curriculum?
  • Yes, all students admitted into the programme will be given a standard curriculum to follow. Please refer to the Senior Year Entry section of the Curriculum page.
  • Students will study core courses that have the same titles as the courses they have studied in their HD/AD programme, such as software engineering or operating systems. They should be aware that these courses are taught at a higher university level.
I have a HD/AD but I wish to start from Year 1. Is it possible?
  • There are very few places available for HD/AD holders to start from Year 1 if the person qualify for the SSSDP subsidy. Please refer to the Direct Application for HD/AD Holder in the JUPAS Admission page.

Bachelor of Science with Honours in Computer Science

電腦科學榮譽理學士
Face-to-Face Full-time New Programme NMTSS JS9718 BSCHCSJ
  • Overview
  • Curriculum
  • Study Plan
  • Admission

Introduction

The Bachelor of Science with Honours in Computer Science programme (BSCHCSJ/JUPAS JS9781) 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 PointsApplication MethodsCode
Year 1 EntryJUPAS / Direct Application #JS9718 / BSCHCSJ1 #
Senior Year EntryDirect ApplicationBSCHCSJS 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].

Learning Outcomes

On successful completion of the BSCHCSJ programme, students should be able to:

  • Utilize computer programming for problems solving and software development.
  • Communicate technical information capably and engage in a collaborative software development environment effectively.
  • Analyze problems critically and formulate solutions with techniques in computer science for various industries.
  • Perform competently the work of a professional in computing and IT industry.
  • Engage effectively in projects involving the integration of techniques in computing and IT applications.

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.

Further Studies

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.

Enquiries

Department of Electronic Engineering and Computer Science

Tel: 2768 5904

Email: cteam@hkmu.edu.hk

Programme Leader

Dr. Au Yeung Siu Kei Jeff

Tel: 2768 6876

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

Programme Structure

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.

CodeTitleCreditsCourse LevelHonours Classification
IT S102FComputing Fundamentals5Foundation

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.


CodeTitleCreditsCourse LevelHonours Classification
IT S103FIntroduction to Internet Application Development5Foundation

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.

CodeTitleCreditsCourse LevelHonours Classification
COMP S202FJava Programming Fundamentals5Middleb

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.


CodeTitleCreditsCourse LevelHonours Classification
COMP S208FIntroduction to Computer Programming5Middleb

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.


CodeTitleCreditsCourse LevelHonours Classification
COMP S209FData Structures, Algorithms, and Problem Solving5Middleb

As a sequel to COMPS208F, 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.


CodeTitleCreditsCourse LevelHonours Classification
COMP S264FDiscrete Mathematics5Middleb

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.


CodeTitleCreditsCourse LevelHonours Classification
COMP S265FDesign and Analysis of Algorithms5Middleb

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.


CodeTitleCreditsCourse LevelHonours Classification
COMP S266FComputer Architecture5Middleb

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.


CodeTitleCreditsCourse LevelHonours Classification
COMP S267FOperating Systems5Middleb

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.

CodeTitleCreditsCourse LevelHonours Classification
COMP S312FJava Application Development5Highera or b

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.

CodeTitleCreditsCourse LevelHonours Classification
COMP S313FMobile Application Programming5Highera or b

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.


CodeTitleCreditsCourse LevelHonours Classification
COMP S320FDatabase Management5Highera or b

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.

CodeTitleCreditsCourse LevelHonours Classification
COMP S350FSoftware Engineering5Highera or b

he 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.

CodeTitleCreditsCourse LevelHonours Classification
COMP S380FWeb Applications: Design and Development5Highera or b

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.

CodeTitleCreditsCourse LevelHonours Classification
COMP S381FServer-side Technologies and Cloud Computing5Highera or b

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.

CodeTitleCreditsCourse LevelHonours Classification
COMP S456FSoftware System Development Project10Highera or b

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 COMPS312F, COMPS313F, COMPS320F, COMPS321F, COMPS350F and/or COMPS351F, 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.

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.

CodeTitleCreditsCourse LevelHonours Classification
COMPS 321FAdvanced database and Data Warehousing5Highera or b

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.


CodeTitleCreditsCourse LevelHonours Classification
COMPS 333FAdvanced Programming and AI Algorithm5Highera or b

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.

CodeTitleCreditsCourse LevelHonours Classification
COMPS 351FSoftware Project Management5Highera or b

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.


CodeTitleCreditsCourse LevelHonours Classification
COMP S362FConcurrent and Networks Programming5Highera or b

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.

CodeTitleCreditsCourse LevelHonours Classification
COMP S363FDistributed Systems and Parallel Computing5Highera or b

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.

CodeTitleCreditsCourse LevelHonours Classification
COMP S382FData Mining and Analytics5Highera or b

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.


CodeTitleCreditsCourse LevelHonours Classification
COMP S390FCreative Programming for Games5Highera or b

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.


CodeTitleCreditsCourse LevelHonours Classification
COMP S492FMachine Learning5Highera or b

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.

CodeTitleCreditsCourse LevelHonours Classification
ELEC S305FComputer Networking5Highera or b

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.

CodeTitleCreditsCourse LevelHonours Classification
ELEC S348FIOT Security5Highera or b

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.


CodeTitleCreditsCourse LevelHonours Classification
ELEC S371FDigital Forensics5Highera or b

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 S305F.


CodeTitleCreditsCourse LevelHonours Classification
ELEC S425FComputer and Network Security5Highera or b

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 S305F.


CodeTitleCreditsCourse LevelHonours Classification
ELEC S431FBlockchain Technologies5Highera or b

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.

CodeTitleCreditsCourse LevelHonours Classification
MATH S141FAlgebra and Calculus5Foundation

This course teaches fundamental concepts in calculus and linear algebra. The course aims to provide a transition between school and university mathematics. The course also aims to develop in students understanding the concepts and techniques of differentiation, integration, vectors and matrix operations.


CodeTitleCreditsCourse LevelHonours Classification
IT S290FHuman Computer Interaction & User Experience Design5Middleb
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.

CodeTitleCreditsCourse LevelHonours Classification
STAT S261FData Analytics with Applications5Middleb
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.

CodeTitleCreditsCourse LevelHonours Classification
Course List5Depends on selection
Course List5Depends on selection

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.

CodeTitleCreditsCourse LevelHonours Classification
Course List5
Course List5
Course List5
Course List5

Study Plan

  • Year 1 Entry
  • Year 2 Entry
  • Year 3 Entry

Students admitted at the Year 1 Entry Point are required to complete 160 credits and of which no more than 40 credits should be taken at foundation level during the nominal 4-year study period for the degree of Bachelor of Science with Honours in Computer Science.

CategoriesWeightings
Core Computing Courses75 Credits
Project Courses and Elective Courses40 Credits
Outside-discipline Courses15 Credits
English Enhancement Courses10 Credits
General Education Courses20 Credits
Total160 Credits
  • Year 1
  • Year 2
  • Year 3
  • Year 4
CodeTitleCategoryCreditsCourse LevelHonours Classification
IT S102FComputing FundamentalsCore5Foundation-
COMP S208FIntroduction to Computer ProgrammingCore5Middleb
COMP S209FData Structures, Algorithms and Problem SolvingCore5Middleb
MATH S141FAlgebra and CalculusOD5Foundation-
 English Enhancement CourseENG5Depends on selection-
 English Enhancement CourseENG5Depends on selection-
 General Education CourseGE5--
 General Education CourseGE5--
CodeTitleCategoryCreditsCourse LevelHonours Classification
IT S103FIntroduction to Internet Application DevelopmentCore5Foundation-
COMP S202FJava Programming FundamentalsCore5Middleb
COMP S264FDiscrete MathematicsCore5Middleb
COMP S266FComputer ArchitectureCore5Middleb
COMP S267FOperating SystemsCore5Middleb
STAT S261FData Analytics with ApplicationsOD5Middleb
General Education CourseGE5--
General Education CourseGE5--
CodeTitleCategoryCreditsCourse LevelHonours Classification
COMP S265FDesign and Analysis of AlgorithmsCore5Middleb
COMP S312FJava Application DevelopmentCore5Highera or b
COMP S313FMobile Application ProgrammingCore5Highera or b
COMP S320FDatabase managementCore5Highera or b
COMP S350FSoftware EngineeringCore5Highera or b
COMP S380FWeb Applications: Design and DevelopmentCore5Highera or b
COMP S381FServer-side Technologies and Cloud ComputingCore5Highera or b
IT S290FHuman Computer Interaction and User Experience DesignOD5Middleb
CodeTitleCategoryCreditsCourse LevelHonours Classification
COMP S456FSoftware System Development ProjectProject10Highera
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b
The programme requirements & the courses on offer are subject to amendment

Students admitted at the Year 2 Entry Point are required to complete 120^ credits of which no more than 20 credits should be taken at Foundation level during the nominal 3-year study period for the degree of Bachelor of Sciencewith 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.

CategoriesWeightings
Core Computing Courses70 Credits
Project Courses and Elective Courses40 Credits
Outside-discipline Courses10 Credits
English Enhancement Courses10 Credits
Total120 Credits
  • Year 2
  • Year 3
  • Year 4
CodeTitleCategoryCreditsCourse LevelHonours Classification
IT S103FIntroduction to Internet Application DevelopmentCore5Foundation-
COMP S202FJava Programming FundamentalsCore5Middleb
COMP S208FIntroduction to Computer ProgrammingCore5Middleb
COMP S209FData Structures, Algorithms and Problem SolvingCore5Middleb
COMP S264FDiscrete MathematicsCore5Middleb
COMP S266FComputer ArchitectureCore5Middleb
COMP S267FOperating SystemsCore5Middleb
STAT S261FData Analytics with ApplicationsOD5Middleb
CodeTitleCategoryCreditsCourse LevelHonours Classification
COMP S265FDesign and Analysis of AlgorithmsCore5Middleb
COMP S312FJava Application DevelopmentCore5Highera or b
COMP S313FMobile Application ProgrammingCore5Highera or b
COMP S320FDatabase managementCore5Highera or b
COMP S350FSoftware EngineeringCore5Highera or b
COMP S380FWeb Applications: Design and DevelopmentCore5Highera or b
COMP S381FServer-side Technologies and Cloud ComputingCore5Highera or b
IT S290FHuman Computer Interaction and User Experience DesignOD5Middleb
CodeTitleCategoryCreditsCourse LevelHonours Classification
COMP S456FSoftware System Development ProjectProject10Highera
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b
The programme requirements & the courses on offer are subject to amendment

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.

CategoriesWeightings
Core Computing Courses35 Credits
Project Courses and Elective Courses40 Credits
Outside-discipline Courses5 Credits
Total80 Credits
  • Year 3
  • Year 4
CodeTitleCategoryCreditsCourse LevelHonours Classification
COMP S265FDesign and Analysis of AlgorithmsCore5Middleb
COMP S312FJava Application DevelopmentCore5Highera or b
COMP S313FMobile Application ProgrammingCore5Highera or b
COMP S320FDatabase managementCore5Highera or b
COMP S350FSoftware EngineeringCore5Highera or b
COMP S380FWeb Applications: Design and DevelopmentCore5Highera or b
COMP S381FServer-side Technologies and Cloud ComputingCore5Highera or b
IT S290FHuman Computer Interaction and User Experience DesignOD5Middleb
CodeTitleCategoryCreditsCourse LevelHonours Classification
COMP S456FSoftware System Development ProjectProject10Highera
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b
Elective CourseElective5Highera or b
The programme requirements & the courses on offer are subject to amendment

Subsidy

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.


Admission

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 PointsApplication MethodsCode
Year 1 EntryJUPAS / Direct Application #JS9718 / BSCHCSJ1 #
Senior Year EntryDirect ApplicationBSCHCSJS 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].

Admission Requirements

JUPAS Admission

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

First Year Tuition Fee *

The amount of subsidy for the JS9718 programme under the NMTSS is HK$33,200 per annum. 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. The government's terms and conditions apply.

Tuition Fee after NMTSS subsidy:

First YearHK$45,120*
TotalHK$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

Senior Year Entry

Entry PointsAdmission Requirements
Year 2Recognized Associate Degree/Higher Diploma in any area
Year 3Recognized Associate Degree/Higher Diploma in computing or a closely related area

Admission Application

Students interested in this programme should apply through non-JUPAS Direct Application. The programme code is BSCHCSJS for both Year 2 and Year 3 entry.


Please refer to the program's website for below or more information

  • Application Procedures
  • Online Application
  • Tuition Fees, Scholarships and Financial Assistance

Scholarships and Awards

Full-time MUHK Computing students with outstanding academic performance and other achievements may be nominated for scholarships and other awards in a competitive manner.

Bachelor of Science with Honours in Data Science & Artificial Intelligence

數據科學及人工智能榮譽理學士
Face-to-Face Full-time SSSDP JSSU70 BSCHDSAIJS
  • Overview
  • Curriculum
  • Study Plan
  • Admission

Introduction

The Bachelor of Science with Honours in Data Science and Artificial Intelligence programme (BSCHDSAIJS/JUPAS JSSU70) aims to provide graduates with the breadth of an advanced understanding of theories and practices in the field of Data Science and Artificial Intelligence.

BSc (Hons) in Data Science & Artificial Intelligence is the 5th curriculum update of the “BSc (Hons) in Statistical Analysis” program which is launched in 2012. The School of S&T has a good practice of regular inspection of the program curriculum to ensure the offered programs meet the market needs. It is no doubt that effective and efficient usage of data in the digital world nowadays can help to foster a better world/society.

However, people who are competent in harvest useful insights from a vast amount of data require a particular set of skills which is different from those offered by traditional academic program curriculums.

To ensure our students to acquire appropriate skills, regular meetings with various parties are arranged. The curriculum of HKMU BSc(Hons) in Data Science & Artificial Intelligence is resulted from the recommendations given by industry professionals, academic professors and employers in business sectors.

To meet the employers’ expectations, our curriculum incorporates SAS Institute official training materials and therefore students can take the Industrial certification (e.g. SAS programmer & SAS predictive modeler) examinations right after the completion of the respective courses.

Furthermore, students in this program are encouraged to expand their horizons via international organizations such as The Royal Statistical Society (RSS), The Institute for Operations Research and the Management Sciences (INFORMS), British Computer Society (BCS), Institute of Electrical & Electronics Engineers (IEEE).

Bachelor of Science with Honours in Data Science & Artificial Intelligence (BSCHDSAIJS) 數據科學及人工智能榮譽理學士 has acquired the following external recognitions:

  • SAS Joint University certification – SAS programming and Data Mining
  • The Hong Kong Council for Accreditation of Academic and Vocational Qualifications (HKCAAVQ) – Level 5

This programme provides multiple entry points: Year 1 Entry through JUPAS and Senior Year Entry through Direct Application at the HKMU website.

Entry PointsApplication MethodsCode
Year 1 EntryJUPAS / Direct Application #JSSU70 / BSCHDSAIJ1 #
Senior Year EntryDirect ApplicationBSCHDSAIJS

#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].

More and more information are available in the digital society nowadays and new generations should be able to comprehend and utilize them to solve practical problems. Our curriculum does not focus on teaching ‘abstract’ theories but emphasizing in enabling the student’s capability to deliver a complete package of solution to practical problems.

Data science and AI are interdisciplinary as they draw on various disciplines, such as Mathematics, Statistics and Computer Science. Machine Learning is the core of data science and AI. It employs computer algorithms to interpret data and learn from the results for decision making and forecasting. Data science and AI can push forward business development, optimize business and operations, and create more attractive operating models. Data sources may come from tables, relational databases, texts, videos, audios, images, etc. Data scientists / AI specialists use data science methods, deep learning, machine learning and AI to discover clients, products, services, operations and market insights.

Intended Learning Outcomes

Graduates will be ready for entry-level roles of data scientists, AI specialist, data engineers, and data analysts in commercial firms and public institutions. To achieve this goal, the program aims to equip our graduates with four main competitive edges.

  • Domain knowledge (e.g. Underlying rationale to determine personal expenditure pattern; Decision-making of an economy as a whole; Concerns in mobile computing, information security and network security)
    • Microeconomics & Macroeconomics
    • Information security
    • Mobile computing
    • Network security
  • Adequate hand-on IT skills for solution developments
    • Visualization: Microsoft Power BI, Google Data Studio, Excel
    • Programming: SAS, Python, R
    • Machine Learning/Artificial Intelligence: SAS Enterprise Miner, Keras (deep neural network), RapidMiner
    • Database: Oracle, MangoDB, SQL, noSQL
    • Distributed system: cloud computing
  • Statistics and Analytics knowledge
    • Probability and Expectation
    • Hypothesis Testing
    • Time Series Analysis and Forecasting
    • Regression Analysis
  • Effective presentation skills (Writing/Speaking/Visualization)
    • Tailored English writing and presentation skills
    • Effective use of visualization tools
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

Data scientist is ranked number 1 in the United States (LinkedIn’s Most Promising Jobs of 2019), whereas AI specialist is ranked number 1 among the top 10 roles in the United States (LinkedIn’s 2020 Emerging Jobs Report).

Hong Kong has been lagging behind the US and the UK in the size of the data science and AI job market, but now the demand is very strong as typically hundreds of job vacancies are available at any one time. While many data science/AI jobs are operating in the business context, there are still a wide range of roles and job titles, reflecting the multi-talented nature of the area.

Graduates will be ready for entry-level roles of data scientists, AI specialists, data engineers, and data analysts in commercial firms and public institutions.

Further Studies

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 Data Science or Artificial Intelligence or in other areas for the broadening of their exposure and skill set. Even pursuing for a doctoral research degree.


Enquiries

Dr. Tony Chan

Tel: 2768 6867

Email: tmtchan@hkmu.edu.hk

Programme Structure

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.

CodeTitleCreditsCourse LevelHonours Classification
MATH S141FAlgebra and Calculus5Foundation
STAT S151FProbability and Distributions5Foundation
COMP S202FJava Programming Fundamentals5Middleb
COMP S203FIntermediate Java Programming and User Interface Design5Middleb
COMP S208FIntroduction to Computer Programming5Middleb
COMP S209FData Structures, Algorithms, and Problem Solving5Middleb
COMP S264FDiscrete Mathematics5Middleb
STAT S251FStatistical Data Analysis5Middleb
STAT S261FData Analytics with Applications5Middleb
STAT S263FBig Data in Organizations5Middleb

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.

CodeTitleCreditsCourse LevelHonours Classification
COMP S320FDatabase Management5Highera or b
COMP S321FAdvanced Database and Data Warehousing5Highera or b
COMP S333FArtificial Intelligence Algorithms5Highera or b
COMP S350FSoftware Engineering5Highera or b
COMP S351FSoftware Project Management5Highera or b
COMP S381FServer-side Technologies and Cloud Computing5Highera or b
COMP S382FData Mining and Analytics5Highera or b
COMP S460FAdvanced Topics in Data Mining5Highera or b
COMP S492FMachine Learning5Highera or b
COMP S493FDeep Learning5Highera or b
STAT S311FTime Series Analysis and Forecasting5Highera or b
STAT S366FSAS Programming5Highera or b
 

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.

CodeTitleCreditsCourse LevelHonours Classification
STAT S461FData Science Project10Highera or b

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.

CodeTitleCreditsCourse LevelHonours Classification
COMP S413FApplications Design and Development For Mobile Devices5Highera or b
ELEC S425FComputer and Network Security5Highera or b
 

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.

CodeTitleCreditsCourse LevelHonours Classification
Course List5Depends on selection
Course List5Depends on selection

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.

CodeTitleCreditsCourse LevelHonours Classification
Course List5
Course List5
Course List5
Course List5

Study Plan

  • Year 1 Entry
  • Year 3 Entry

Students admitted at the Year 1 Entry Point are required to complete 160 credits and of which no more than 40 credits should be taken at foundation level during the nominal 4-year study period for the degree of Bachelor of Science with Honours in Data Science and Artificial Intelligence.

CategoriesWeightings
Core Computing Courses110 Credits
Project Courses and Elective Courses20 Credits
English Enhancement Courses10 Credits
General Education Courses20 Credits
Total160 Credits
  • Year 1
  • Year 2
  • Year 3
  • Year 4
CodeTitleCategoryCreditsCourse LevelHonours Classification
MATH S141FAlgebra and CalculusCore5Foundation-
STAT S151FProbability and DistributionsCore5Foundation-
COMP S208FIntroduction to Computer ProgrammingCore5Middleb
STAT S261FData Analytics with ApplicationsCore5Middleb
 English Enhancement CourseENG5Depends on selection-
 English Enhancement CourseENG5Depends on selection-
 General Education CourseGE5--
 General Education CourseGE5--
CodeTitleCategoryCreditsCourse LevelHonours Classification
COMP S202FJava Programming FundamentalsCore5Middleb
COMP S203FIntermediate Java Programming and User Interface DesignCore5Middleb
COMP S209FData Structures, Algorithms, and Problem SolvingCore5Middleb
MATH S262FLinear AlgebraCore5Middleb
STAT S251FStatistical Data AnalysisCore5Middleb
STAT S263FBig Data in OrganizationsCore5Middleb
 General Education CourseGE5--
 General Education CourseGE5--

 

CodeTitleCategoryCreditsCourse LevelHonours Classification
COMP S320FDatabase ManagementCore5Highera or b
COMP S333FArtificial Intelligence AlgorithmsCore5Highera or b
COMP S350FSoftware EngineeringCore5Highera or b
COMP S351FSoftware Project ManagementCore5Highera or b
COMP S382FData Mining and AnalyticsCore5Highera or b
COMP S492FMachine LearningCore5Highera or b
STAT S311FTime Series Analysis and ForecastingCore5Highera or b
STAT S366FSAS ProgrammingCore5Highera or b
CodeTitleCategoryCreditsCourse LevelHonours Classification
STAT S461FData Science ProjectProject10Highera or b
COMP S321FAdvanced Database and Data WarehousingCore5Highera or b
COMP S381FServer-side Technologies and Cloud ComputingCore5Highera or b
COMP S460FAdvanced Topics in Data MiningCore5Highera or b
COMP S493FDeep LearningCore5Highera or b
COMP S413FApplication Design and Development For Mobile DevicesElective5Highera or b
ELEC S425FComputer and Network SecurityElective5Highera or b
The programme requirements & the courses on offer are subject to amendment

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 Data Science and Artificial Intelligence.

CategoriesWeightings
Core Computing Courses60 Credits
Project Courses and Elective Courses20 Credits
Total80 Credits
  • Year 3
  • Year 4
CodeTitleCategoryCreditsCourse LevelHonours Classification
COMP S320FDatabase ManagementCore5Highera or b
COMP S333FArtificial Intelligence AlgorithmsCore5Highera or b
COMP S350FSoftware EngineeringCore5Highera or b
COMP S351FSoftware Project ManagementCore5Highera or b
COMP S382FData Mining and AnalyticsCore5Highera or b
COMP S492FMachine LearningCore5Highera or b
STAT S311FTime Series Analysis and ForecastingCore5Highera or b
STAT S366FSAS ProgrammingCore5Highera or b
CodeTitleCategoryCreditsCourse LevelHonours Classification
STAT S461FData Science ProjectProject10Highera or b
COMP S321FAdvanced Database and Data WarehousingCore5Highera or b
COMP S381FServer-side Technologies and Cloud ComputingCore5Highera or b
COMP S460FAdvanced Topics in Data MiningCore5Highera or b
COMP S493FDeep LearningCore5Highera or b
COMP S413FApplication Design and Development For Mobile DevicesElective5Highera or b
ELEC S425FComputer and Network SecurityElective5Highera or b
The programme requirements & the courses on offer are subject to amendment

Subsidy

JUPAS Entry

Starting from 2018 admission, the JUPAS entry point of the programme is included in the Study Subsidy Scheme for Designated Professions/Sectors (SSSDP). Eligible students will receive $44,240 subsidy per annum.

This SSSDP programme normally admits students through JUPAS. The JUPAS code is JSSU70.

Please refer to SSSDP's website for eligibility and more information.


Senior Year Entry

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.


Admission

This programme provides multiple entry points: Year 1 Entry through JUPAS and Senior Year Entry through Direct Application at the HKMU website.

Entry PointsApplication MethodsCode
Year 1 EntryJUPAS / Direct Application #JSSU70 / BSCHDSAIJ1 #
Senior Year EntryDirect ApplicationBSCHDSAIJS

#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].

Admission Requirements

JUPAS Admission

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.

Please refer to JUPAS website for more JUPAS admission information

Should there be unfilled intake places after all admission rounds of JUPAS, the SSSDP participating institution will admit local non-JUPAS applicants with a recognized Higher Diploma or Associate Degree via direct admission of no more than 10% of the subsidised places of each selected programme (subject to SSSDP rules that are to be announced).


First Year Tuition Fee *

The amount of subsidy for the JSSU70 programme under the SSSDP is HK$44,240 per annum. 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. The government's terms and conditions apply.

Tuition Fee after SSSDP subsidy:

First YearHK$34,080*
TotalHK$136,320*

*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


Senior Year Entry

This programme has offered degree articulation opportunities for local Higher Diploma and Associate Degree holders.

The curriculum is designed to be academically rich and practically oriented for preparing local sub-degree holders to become highly competent computing professionals.

Students admitted at a senior year entry point will join other students from Year 1 entry in pursuing of the degree. They can make use of the chance to build a strong personal network with their peers and many alumni of this programme who are doing well in their career.

Senior Entry Admission Requirement
A Higher Diploma or Associate Degree in statistics, data science, artificial intelligence, information technology, and other programmes of which the curriculum includes training in statistics.
Admission Application
Students interested in this programme should apply through non-JUPAS Direct Application. The programme code is BSCHDSAIJS.

Please refer to the program's website for below or more information

  • Application Procedures
  • Online Application
  • Tuition Fees, Scholarships and Financial Assistance

Bachelor of Arts with Honours in Computing and Interactive Entertainment

電腦及互動娛樂榮譽文學士
Face-to-Face Full-time  Two Years NMTSSBAHCIEFS
  • Overview
  • Curriculum
  • Study Plan
  • Admission

Introduction

The 2-year fulltime-mode Bachelor of Arts with Honours in Computing and Interactive Entertainment (BAHCIEFS) programme is jointly offered by the Computing Programme Team of the School of Science and Technology and the Creative Arts Team of the School of Arts and Social Sciences.

The Creative Arts Team of the School of Arts and Social Sciences (ASS) is renowned for their range of SSSDP programmes, state-of-the-art studios/laboratories, and quality graduates produced for the creative and entertainment industry in Hong Kong.

More about ASS

The Computing Programme Team of the School of Science and Technology produces the most number of graduates among local Computing departments and her graduates are widely appreciated for their good practical software development skills.

This programme aims to produce graduates to be computing professionals with training in interactive entertainment and user experience design. The graduates should be competent software developers with expertise in user experience enhancement through artistic creation, media production, and computational intelligence.

They should have problem solving skills to apply their competencies in various domains.

This is a unique programme that has brought in two highly sought-after areas together.

This programme provides Direct Application at the HKMU website.

Entry PointsApplication MethodsCode
First Year EntryDirect ApplicationBAHCIEFS
Learning Outcomes

On successful completion of the BAHCIEFS programme, students should be able to:

  • Utilize computer programming for problems solving and software development.
  • Demonstrate artistic creation proficiency in the application and production of creative content.
  • Analyze problems critically and formulate solutions with techniques in computing and creative arts.
  • Perform competently the work of a professional in computing and interactive entertainment.
  • Apply software engineering processes for developing software solutions based on computing and interactive entertainment.
  • Engage effectively in projects involving the integration of techniques in computing and the production of creative artworks.
Career Prospects

Graduates are qualified to work as software developers or other entry-level roles with demand in front-end expertise as well as various roles in the interactive entertainment industry. 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.

Student Achievements

Recently, Shek Ka Chun, Wong Chun Long and Wong Tsz Ying, 3 final year students from the Animation programme of Creative Arts of ASS won the Best Animated Short Film Award with Losing Sight of a Longed Place at the Golden Horse Award 2017.

Computing students have also regularly won prizes in computing and IT contests.

Students testing their 3D work in the studio

Creative Arts Animation students Wong Chun Long, Wong Tsz Ying, and Shek Ka Chun excelled at the Golden Horse Award 2017

Enquiries

Dr. William LAI (Programme Leader)
Tel: 3120 2531

Email: wcflai@hkmu.edu.hk

Dr. Au Yeung Siu Kei Jeff
Tel: 2768 6876

Email: jauyeung@hkmu.edu.hk

Programme Structure

The 2-year programme consists of a balanced set of subject-area courses and language courses.

Core Courses (Creative Arts and Media Production): Provide training in some of the major pillars in the fields of Creative Arts and Media Production.

CodeTitleCreditsCourse LevelHonours Classification
CAMD A300FNew Media Culture5Highera or b
The course aims to investigate the cultures and historical developments of various new media forms, such as Facebook, Twitter, YouTube, mobile phone, hypertext fiction, online games, and so on. Specifically, the course will chart how new media are shaping/reshaping lived culture and what it means to be (post)human.

CodeTitleCreditsCourse LevelHonours Classification
AMVE A307BFVisual Communication and Storytelling5Highera or b

In this digital era full of visual and social media, being able to communicate visually is very important. Animation art is a powerful visual medium and is often used to communicate through storytelling. Visual communication and storytelling cover the important principles of design, visual theories and narrative techniques and how they relate to effective visual communication.

This course introduces the art of visual storytelling and prepares students to write their creative story before translating the idea and text into moving images in animation. Students will be expected to write and re-write their story until it is ready to express it in different media platforms.


CodeTitleCreditsCourse LevelHonours Classification
AMVE A308BFMedia and Animation Production10Highera or b

Students will learn and experience both media production first and then animation production later. It prepares students to use visual and audio language to communicate and express ideas in time-based medium.

The skills learned in media production can prepare students to learn animation and apply them to animated storytelling and production techniques. Aspects of cinematic aesthetics such as image design, visual development and lighting will be covered in this course.


CodeTitleCreditsCourse LevelHonours Classification
AMVE A309BFMedia Management for Interactive Entertainment5Highera or b

Students will learn media management in the course. Interactive entertainment involves creative vision and above-the-line industry practice from proposal writing, fundraising and team-building.

Media management involves important daily operations in managing a creative team with different capacities. Both require knowledge and leadership skills at different levels.

This final semester course is intended for students to be equipped with these industry-related knowledge and know-how in their final year before entering the professional world.


CodeTitleCreditsCourse LevelHonours Classification
AMVE A310BFSound Design and Visual Effects10Highera or b

This course aims to further expand and develop student’s creative vision integrating sound design and visual effects to camera footage and computer-generated imagery. It will also integrate principles of sound communication, sound effects, image design and visual storytelling.

It equips students with the necessary technical know-how and theory to turn one’s creative vision into make-believe or manufactured “reality” with professional quality.

Core Courses: Provide training in some of the major pillars in modern computing and user experience design.

CodeTitleCreditsCourse LevelHonours Classification
IT S290FHuman Computer Interaction & User Experience Design5Middleb

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.

CodeTitleCreditsCourse LevelHonours Classification
COMP S390FCreative Programming for Games5Highera or b

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.

CodeTitleCreditsCourse LevelHonours Classification
COMP S413FApplication Design and Development for Mobile Devices5Highera or b

The course aims to provide students with a foundation in designing and developing applications for mobile devices. It enables students to understand the principle and learn skills to create and deploy mobile applications with a mobile programming platform.

Advisory Pre-requisites: Students should have completed most computing courses and should have a solid knowledge in Java.

Core Courses: Provide training in some of the major pillars in Software Development.

CodeTitleCreditsCourse LevelHonours Classification
COMP S350FSoftware Engineering5Highera or b

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.


CodeTitleCreditsCourse LevelHonours Classification
COMP S351FSoftware Project Management5Highera or b

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.

CodeTitleCreditsCourse LevelHonours Classification
COMP S202FJava Programming Fundamentals5Middleb

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.


CodeTitleCreditsCourse LevelHonours Classification
COMP S203FIntermediate Java Programming and User Interface Design5Middleb

This course aims to provide students with more knowledge in Java programming as well as an introduction to user interface design. Students will study how to design computer user interface, and develop graphical-based computer programs using the Java programming language.

Students will also study how to analyse more difficult problems and apply object-oriented methodology in development.


CodeTitleCreditsCourse LevelHonours Classification
COMP S312FJava Application Development5Highera or b

This course aims to enable students to create maintainable software in Java to meet a great variety of computing requirements. The 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.


CodeTitleCreditsCourse LevelHonours Classification
COMP S492FMachine Learning5Highera or b

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.


 

Project Courses: 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.

CodeTitleCreditsCourse LevelHonours Classification
COMP S496FInteractive Applications Project10Highera or b

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 relevant issues and latest development in the application domain related to his or her project area, to analyse and propose solutions based on interactive media and computing technologies for an identified problem. Students should also be able to implement the proposed solutions with advanced development tools and proper integration of technologies and creative artworks.

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.

CodeTitleCreditsCourse LevelHonours Classification
Course List5Depends on selection

Study Plan

  • First Year Entry

Students admitted are required to complete 85 credits during the nominal 2-year study period for the degree of Bachelor of Arts with Honours in Computing and Interactive Entertainment.

CategoriesWeightings
Core Courses (Creative Arts and Media Production)35 Credits
Core Courses (Computing and User Experience Design)15 Credits
Core Courses (Software Development)10 Credits
Elective Courses10 Credits
Project Courses10 Credits
English Language Enhancement Courses5 Credits
Total85 Credits
  • First Year
  • Final Year
CodeTitleCategoryCreditsCourse LevelHonours Classification
COMP S350FSoftware EngineeringCore5Highera or b
COMP S351FSoftware Project ManagementCore5Highera or b
CAMD A300FNew Media CultureCore5Highera or b
AMVE A307BFVisual Communication and StorytellingCore5Highera or b
AMVE A308BFMedia and Animation ProductionCore10Highera or b
 English Ehancement CourseENG5Depends on selection-
CodeTitleCategoryCreditsCourse LevelHonours Classification
IT S290FHuman Computer Interaction & User Experience DesignCore5Middleb
COMP S390FCreative Programming for GamesCore5Highera or b
COMP S413FApplication Design and Development for Mobile DevicesCore5Highera or b
AMVE A309BFMedia Management for Interactive EntertainmentCore5Highera or b
AMVE A310BFSound Design and Visual EffectsCore10Highera or b
COMP S496FInteractive Application ProjectProject10Highera or b

+

The 2 elective courses should be taken within 2 years. The year or semester allocation of the courses depends on which courses are selected.

CodeTitleCategoryCreditsCourse LevelHonours Classification
Elective CourseElective5Depends on selectionDepends on selection
Elective CourseElective5Depends on selectionDepends on selection
The programme requirements & the courses on offer are subject to amendment

NMTSS Subsidy

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.

Admission

This programme provides Direct Application at the HKMU website.

Entry PointsApplication MethodsCode
First Year EntryDirect ApplicationBAHCIEFS

 

Admission Requirements

A recognized local Higher Diploma and Associate Degree of which the curriculum includes training in programming and information technology.

 

Tuition Fee

The amount of subsidy for the programme under the NMTSS is HK$33,200 per annum. 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. The government's terms and conditions apply.

Please refer to Here for tuition fee and details.

 

Admission Application

Students interested in this programme should apply through non-JUPAS Direct Application. The programme code is BAHCIEFS.

Please refer to the program's website for below or more information

  • Application Procedures
  • Online Application
  • Tuition Fees, Scholarships and Financial Assistance
Jonathan Chiu
Marketing Director
3DP Technology Limited

Jonathan handles all external affairs include business development, patents write up and public relations. He is frequently interviewed by media and is considered a pioneer in 3D printing products.

Krutz Cheuk
Biomedical Engineer
Hong Kong Sanatorium & Hospital

After graduating from OUHK, Krutz obtained an M.Sc. in Engineering Management from CityU. He is now completing his second master degree, M.Sc. in Biomedical Engineering, at CUHK. Krutz has a wide range of working experience. He has been with Siemens, VTech, and PCCW.

Hugo Leung
Software and Hardware Engineer
Innovation Team Company Limited

Hugo Leung Wai-yin, who graduated from his four-year programme in 2015, won the Best Paper Award for his ‘intelligent pill-dispenser’ design at the Institute of Electrical and Electronics Engineering’s International Conference on Consumer Electronics – China 2015.

The pill-dispenser alerts patients via sound and LED flashes to pre-set dosage and time intervals. Unlike units currently on the market, Hugo’s design connects to any mobile phone globally. In explaining how it works, he said: ‘There are three layers in the portable pillbox. The lowest level is a controller with various devices which can be connected to mobile phones in remote locations. Patients are alerted by a sound alarm and flashes. Should they fail to follow their prescribed regime, data can be sent via SMS to relatives and friends for follow up.’ The pill-dispenser has four medicine slots, plus a back-up with a LED alert, topped by a 500ml water bottle. It took Hugo three months of research and coding to complete his design, but he feels it was worth all his time and effort.

Hugo’s public examination results were disappointing and he was at a loss about his future before enrolling at the OUHK, which he now realizes was a major turning point in his life. He is grateful for the OUHK’s learning environment, its industry links and the positive guidance and encouragement from his teachers. The University is now exploring the commercial potential of his design with a pharmaceutical company. He hopes that this will benefit the elderly and chronically ill, as well as the society at large.

Soon after completing his studies, Hugo joined an automation technology company as an assistant engineer. He is responsible for the design and development of automation devices. The target is to minimize human labor and increase the quality of products. He is developing products which are used in various sections, including healthcare, manufacturing and consumer electronics.

Course CodeTitleCredits
 COMP S321FAdvanced Database and Data Warehousing5
 COMP S333FAdvanced Programming and AI Algorithms5
 COMP S351FSoftware Project Management5
 COMP S362FConcurrent and Network Programming5
 COMP S363FDistributed Systems and Parallel Computing5
 COMP S382FData Mining and Analytics5
 COMP S390FCreative Programming for Games5
 COMP S492FMachine Learning5
 ELEC S305FComputer Networking5
 ELEC S348FIOT Security5
 ELEC S371FDigital Forensics5
 ELEC S431FBlockchain Technologies5
 ELEC S425FComputer and Network Security5
 Course CodeTitleCredits
 ELEC S201FBasic Electronics5
 IT S290FHuman Computer Interaction & User Experience Design5
 STAT S251FStatistical Data Analysis5
 Course CodeTitleCredits
 COMPS333FAdvanced Programming and AI Algorithms5
 COMPS362FConcurrent and Network Programming5
 COMPS363FDistributed Systems and Parallel Computing5
 COMPS380FWeb Applications: Design and Development5
 COMPS381FServer-side Technologies and Cloud Computing5
 COMPS382FData Mining and Analytics5
 COMPS390FCreative Programming for Games5
 COMPS413FApplication Design and Development for Mobile Devices5
 COMPS492FMachine Learning5
 ELECS305FComputer Networking5
 ELECS363FAdvanced Computer Design5
 ELECS425FComputer and Network Security5