What Should I Consider When Choosing a Computer Science Degree?

The Department of Computer Science has strong scientific research strength and strong faculty. In the fields of algorithm theory, bioinformatics, information security, computer vision and graphics, human-computer interaction, database and data mining, computer networks, computer languages, computer systems and software engineering, etc. There are many internationally renowned scholars [1] .

Computer Science, The University of Hong Kong

Research Master, PhD
1. An English resume, research statement (optional) and other English certification materials are required to apply, including transcripts, class rankings, proof of English proficiency and certificates of various academic achievements. There is currently no need to submit a formal TOEFL or
Taught Master
The Master of Science in Computer Science at the University of Hong Kong is a comprehensive graduate program that provides students with cutting-edge, in-depth knowledge in the field of computer science. The Master of Science degree in Computer Science at the University of Hong Kong is taught in terms of both theoretical and applied courses. Students can choose either specific research directions or comprehensive, diverse courses. Students choose courses with specific research directions, which means that they can have a deep understanding of specific fields of information and communication technology, and at the same time can broaden and deepen their knowledge in professional fields such as information security, multimedia computing and financial electronics. Comprehensive and diversified courses Computer science courses give students the greatest flexibility in choosing courses. They can decide their own course arrangements based on their professional ambitions and needs. [2]
1. Computer and network security
2. E-commerce security cases and technical methods
3. Legal protection of digital property
4.Wireless network security
5.Digital investigation and evidence collection
6. Information security: attack and defense
7. Quantitative financial software development
8. Image processing and computer vision
9.Multimedia technology
10. Pattern recognition and application
11. User interface design and development
12.Visualization and Visual Analysis
13.Advanced multimedia data analysis and application
14.Introduction to Computational Finance
15. Computational Finance Technology [2]

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