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Master of Science in Information Technology
MSc(IT)
Both full- and part-time
Full-time: 1 year
Part-time: 2 years
Full-time: HK$155,000
Part-time: HK$126,000
New students admitted with credit transfer are also required to pay the full program fee. If the graduation requirements are not met within three years, students who need to take additional courses or retake any courses for graduation are required to pay additional fee. Students taking additional courses not for graduation at any of time of study are also required to pay additional program fee.
Program Director:
Prof Fangzhen LIN, Professor of Computer Science and Engineering
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In this new millennium, information technology is the foundation stone for many applications in industry, government and other institutions. To stay ahead professionally, computer engineering and computer science graduates and professionals working in computer-related fields need to engage in continuous learning and upgrading their information technology skills.
The Master of Science (MSc) Program in Information Technology has been developed to assist and encourage bachelor’s degree holders to build on their undergraduate knowledge in information technology. The program offers postgraduate courses for those who wish to obtain broad-based and leading-edge skills in information technology, aiming to make the graduates more marketable and also better prepared for more challenging career paths.
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On successful completion of the program, graduates will be able to:
- Examine and formulate problems in major topics in computer science and information technology drawn from several areas, including applied areas technology;
- Integrate theoretical principles and up-to-date techniques in computer science and information technology to solve problems in the field of information technology;
- Communicate effectively through report writing, literature search, project design and oral presentations;
- Apply the latest computing and software development tools and techniques, especially state-of-the-art techniques that are used in industrial practice; and
- Identify and describe the impact of key factors related to the design, management and performance of large scale software systems.
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Minimum Credit Requirement
30 credits
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Credit Transfer
Subject to the approval of the Program Director and the University regulations governing credit transfer, a maximum of 9 credits can be transferred to the program.
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Required Courses
Students are required to complete at least 30 credits of CSIT courses.
They may repeat CSIT 6910 to obtain a maximum of 6 credits.
Subject to the approval of the Program Director, students may take a maximum of 3 credits of MSBD courses from the MSc Program in Big Data Technology as partial fulfillment of the graduation requirements of the program.
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Remarks
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Part-time students may take a maximum of 9 credits in each term.
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Students failing to meet the graduation grade average (GGA) requirement of 2.850 or above are required to repeat or take additional course(s) even if they attain passing grades for all courses.
Last update: 31 July 2019
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To qualify for admission, applicants must meet all of the following requirements. Admission is selective and meeting these minimum requirements does not guarantee admission.
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Applicants seeking admission to a master's degree program should have obtained a bachelor’s degree from a recognized institution, or an approved equivalent qualification.
Applicants have to fulfill English Language requirements with one of the following proficiency attainments:
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TOEFL-iBT: 80*
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TOEFL-pBT: 550
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TOEFL-Revised paper-delivered test: 60 (total scores for Reading, Listening and Writing sections)
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IELTS (Academic Module): Overall score: 6.5 and All sub-score: 5.5
* refers to the total score in one single attempt
Applicants are not required to present TOEFL or IELTS score if
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their first language is English, or
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they obtained the bachelor's degree (or equivalent) from an institution where the medium of instruction was English.
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A bachelor's degree in Computer Engineering, Computer Science or a related area