The double degree programme, which comprises a broad set of courses from the Department of Computer Science and College of Business, aims to educate a new generation of professionals with a distinctive and interdisciplinary blend of knowledge across the complete spectrum of computer science/computational finance/financial technology areas, from AI, big data analytics, derivatives pricing, financial econometrics, portfolio management to software engineering. Finance is one of the pillars to support the economy of Hong Kong, and use of computational technologies has been pervasive in different business sectors. The double degree programme will serve to support the key initiatives and strategies of the HKSAR Government in enhancing Hong Kong’s role as a major financial center, and strengthening its competitiveness in innovation and technology. |
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Computer Science
Upon successful completion of this major, students
should be able to:
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No.
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MILOs
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1.
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Apply relevant mathematics and engineering
methods to computing.
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2.
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Use computer programming for problem solving.
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3.
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Identify problems, analyze requirements and formulate design to meet
realistic constraints, such as costs, operational, social, cultural, ethical,
environmental, health and safety.
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4.
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Use software engineering methods and tools for developing and
implementing quality software solutions.
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5.
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Communicate and use language effectively.
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6.
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Manage projects effectively and independently.
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7.
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Apply specialized knowledge in selected area(s) of Computer Science.
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8.
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Reflect on the ethical, legal, security and social responsibilities
required of professional citizens in a global society.
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9.
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Stay abreast of contemporary issues in computing and recognize the
need for, and able to engage in life-long learning.
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10.
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Collaborate and function effectively in team work situations including
multi-disciplinary team.
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11.
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Function effectively in an industrial environment and apply learned
skills to real-world problems.
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12.
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Acquire inquisitive attitude and skill to enable creating an original
discovery or design related to computing.
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Computational Finance and Financial Technology
Upon successful completion of this major, students should be able to:
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No.
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MILOs
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1.
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Acquire key knowledge in mathematics and statistics, programming and
finance
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2.
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Communicate effectively in
English
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3.
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Attain team goals using
teamwork skills
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4.
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Demonstrate awareness of
ethical issues in business
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Computational Finance Stream
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5.
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Design and implement integrated
solutions for solving financial problems using quantitative analysis and
numerical computation skills
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| Requirements |
Double Degree |
| Gateway Education requirement |
39 credit units |
| College / School requirement |
12 credit units |
| Major requirement |
99 credit units 33 credit units (CS Core Courses) 30 credit units (CFFT Core Courses) 33 credit units (Required Core or Electives for both Majors)
3 credit units (CS Elective) |
| Free electives / Minor (if applicable) |
0 credit units |
| Minimum
Graduation Requirement: |
150 credit units |
| Maximum Credit Units Permitted: |
180 credit units |
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The BSc in Computer Science programme is accredited by the Hong Kong Institution of Engineers (HKIE). Based on the Seoul Accord, graduates will receive reciprocal recognition from the equivalent bodies in Australia, Canada, Israel, New Zealand, South Africa, the UK and the US. |
Normative 4-year degree students admitted in 2022/23 and thereafter are required to fulfil the internship/consultancy project/research project requirement in accordance with the requirements stipulated by the respective College/School. The curriculum-related internship courses should be credit-bearing with a minimum of 3 credit units and a minimum internship duration of no less than 4 weeks/160 hours. The consultancy project/research project courses should involve student work (inclusive of timetabled teaching hours) of no less than 160 hours. These courses may be included as part of the College/School requirement or the major requirement as stipulated by the respective College/School (Senate/121/AR9). |
