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6999 Computing and Data Science
Programme Highlights and Key Features
Computing and Data Science (programme code: 6999)^ offers the choices of two professional degree programmes, namely: (1) Bachelor of Engineering in Computer Science [BEng(CompSc)], and (2) Bachelor of Engineering in Artificial Intelligence and Data Science [BEng(AI&DataSc)]. Students admitted to 6999 Computing and Data Science are free to choose (i.e., no quota limit applies) either of the aforesaid programmes*.
[BEng(CompSc)] and [BEng(AI&DataSc)] are two professional degree programmes designed to equip students with the necessary skills and knowledge to excel in the rapidly evolving field of computing, AI, data science, and other transformative technologies. They provide a comprehensive education that prepares students to be leaders in their field, driving innovation and shaping the future technology. [BEng(CompSc)] has been accredited by The Hong Kong Institution of Engineers. Meanwhile, [BEng(AI&DataSc)] is a new programme, accreditation has been planned and will be sought as soon as the first cohort graduates.
^New programme subject to the University’s approval
*Students shall make a preliminary choice as an indication of their preferences; and they may freely choose the final programme by the end of their first year.
Admissions Requirements
6999 Computing and Data Science 計算與數據科學
| Programme Name | Computing and Data Science (CDS) 計算與數據科學 | ||||||||||||||||||||||
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| Specialized Degree Programme (students can choose by the end of Year 1) | Bachelor of Engineering in Computer Science [BEng(CompSc)] 工學學士(計算機科學)
Bachelor of Engineering in Artificial Intelligence and Data Science |
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| Entrance Requirements
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Academic Spectrum of 6999 Computing and Data Science
Inspiring Innovation, Shaping the Future
Bachelor of Engineering in Computer Science BEng(CompSc)
You have selected Bachelor of Engineering in Computer Science. Select other options to view other undergraduate programme.
Curriculum Map
1
2
3
4
Foundation Courses
36 Credits
CS Core
(Advanced)
30 Credits
Capstone
Final Year Project (12 Credits)
and Internship (0 Credit)
CS Core (Introductory)
24 Credits
CS Disciplinary
Electives
42 Credits
Free Electives
/
Minor
42 Credits
University
Requirements
Common Core, Language Enhancement
54 Credits
Programme Features
-
1
Maths, computing & algorithmic foundation
-
2
Systems and software engineering
-
3
Focuses in various computer science disciplines
-
4
Professional accredited
-
5
Internship & industry exposure
The Bachelor of Engineering in Computer Science is an exciting and dynamic four-year professional program that serves as the cornerstone for exploring and contributing to the frontier technologies of the digital era. Computing has become the bedrock of modern society, enabling breakthroughs in areas such as artificial intelligence, machine learning, data science, and more. This programme is designed to equip students with the skills and knowledge required to excel in the rapidly evolving field of computer science, providing them with a solid foundation to understand and shape these frontier technologies. Graduates of this programme will be at the forefront of driving innovation and making significant contributions to the development of cutting-edge solutions that leverage artificial intelligence and other transformative technologies.
The Bachelor of Engineering in Computer Science offers a comprehensive curriculum covering a wide range of topics related to computer science and its applications. Students will learn about fundamental concepts such as mathematics, programming languages, algorithms, and data structures. They will also study advanced topics such as computer organisation and infrastructures, software engineering and artificial intelligence technologies. The programme emphasises both theoretical concepts and practical applications, ensuring that students gain the skills and expertise needed to thrive in the dynamic field of computer science.
In addition, students can choose to focus on various computing disciplines such as AI & robotics, big data analytics, cyber security, financial computing, systems & networking, and theoretical computer science. This allows students to tailor their education to their interests and career aspirations, gaining specialised knowledge and skills in their chosen field. The programme also provides opportunities for hands-on learning and project-based work, allowing students to apply their skills and knowledge to real-world problems.
The Bachelor of Engineering in Computer Science provides students with numerous exciting opportunities to acquire valuable skills and experience. Students can participate in internships, where they can apply their skills and knowledge in real-world settings and gain practical experience.
Additionally, students can work on a final year project, where they can apply their skills to a specific problem or project in the field of computer science. These experiences prepare students for success in various sectors and industries, including software development, cybersecurity, artificial intelligence, and more.
[BEng(CompSc)] has been accredited by The Hong Kong Institution of Engineers (HKIE). Following graduation, students will be eligible to apply for professional recognition with the HKIE.
Bachelor of Engineering in Artificial Intelligence and Data Science [BEng(AI&DataSc)]
You have selected Bachelor of Engineering in Artificial Intelligence and Data Science. Select other options to view other undergraduate programme.
Curriculum Map
1
2
3
4
Foundation Courses
36 Credits
AI & DS Core
(Advanced)
30 Credits
Capstone
AI and data science in discipline project or Final Year Project (6 Credits), Real-life AI and data science course (6 credits) and Internship (0 Credit)
AI & DS Core (Introductory)
24 Credits
AI & DS Disciplinary
Electives
42 Credits
Free Electives
/
Minor
42 Credits
University
Requirements
Common Core, Language Enhancement
54 Credits
Programme Features
-
1
Maths & computing foundation
-
2
Data-centric AI foundation
-
3
AI technologies & applications
-
4
Internship & industry exposure
The Bachelor of Engineering in Artificial Intelligence and Data Science is an innovative and exciting four-year professional programme that is designed to equip students with the skills and knowledge required to succeed in the rapidly growing field of AI and data science.
AI and data science are revolutionising industries and society as a whole. With the exponential growth of data, organisations are leveraging AI and data science to extract valuable insights, make informed decisions, and drive innovation.
This programme prepares students to be at the forefront of this transformation by providing a comprehensive curriculum that covers mathematics, statistics, programming, and machine learning. Graduates will be well-positioned to contribute to the development of intelligent systems and shape the future technology.
The Bachelor of Engineering in Artificial Intelligence and Data Science offers a comprehensive curriculum that covers a wide range of topics related to AI and data science and their applications. Whilst the programme provides students with solid training in artificial intelligence and data-driven computing technologies, its interdisciplinary approach ensures that students develop a strong foundation in essential subjects such as mathematics, statistics, programming, data modelling and database management systems. They will also gain in-depth knowledge in advanced topics such as machine learning, big data systems, deep learning, natural language processing, computer vision, and robotics. This curriculum equips students with the skills and knowledge required to tackle complex data analysis, design intelligent systems, and develop cutting-edge AI solutions.
The Bachelor of Engineering in Artificial Intelligence and Data Science provides students with numerous opportunities to acquire valuable skills and experience. Students can participate in internships, where they can apply their skills and knowledge in real-world settings and gain practical experience.
Additionally, students can work on a final year project, where they can apply their skills to a specific problem or project in the field of AI and data science. This component of the programme is an excellent opportunity for students to showcase their skills, work on projects that interest them, and build their portfolios. These experiences prepare students for success in various sectors and industries, including finance, healthcare, technology, and e-commerce.
Career Prospects
Graduates of either programme will be at the forefront of driving innovation and making significant contributions to the development of cutting-edge solutions that leverage computing, AI, and data science technologies. They will be well-positioned to take up key roles such as machine learning engineers, software developers, data analysts/engineers, AI consultants, cybersecurity specialists, and more, in a wide range of industries. Moreover, our programmes provide a strong foundation for students who aspire to pursue postgraduate studies in the field. Moreover, our programmes provide a strong foundation for students who aspire to pursue postgraduate studies in the field.
Computer Science graduates are very employable, not just for IT jobs but for other analytical roles too. The problem-solving skills and analytical abilities that our graduates developed during their undergraduate study proved to be very valuable in many areas of endeavour. IT professionals are well sought after in different sectors of the society, say banking & finance, the government, education, IT & telecommunications, etc. Many of them are now working in leading international companies and even work abroad with big names, such as Apple and Google. Some graduates started their own business and became entrepreneurs. According to a survey conducted by the University in 2023, the average salary (gross monthly income) of our Computer Science fresh graduates is $27,147 whilst the maximum is $48,333.
Employment Sector
New and exciting career choices in the fastest-growing job positions like data engineer/architect, data scientist, data analyst, machine learning engineer, big data engineer, business analyst, and information security analyst.
