What will I learn?

The Master of Philosophy (MPhil) Program seeks to strengthen students' knowledge in computer science and expose them to issues involved in the development, scientific, educational and commercial applications of computer systems. A candidate for an MPhil degree is expected to demonstrate knowledge in the discipline and to synthesize and create new knowledge, making a contribution to the field.

The programs are offered by the Department of Computer Science and Engineering with the following research foci and state-of-the-art facilities, training students with the skillsets to make the useful applications in modern life.

Research Foci

Artificial Intelligence

Machine learning, data mining and pattern recognition, knowledge representation and reasoning, robotics and sensor-based activity recognition, multi-agent and game theory, and speech and language processing.

Cybersecurity

Security, privacy, and cryptography.

Data, Knowledge and Information Management

Large-scale data management, modeling and distribution encompassing web query processing, information retrieval and web search, data mining, enterprise systems, high-performance data management systems on modern computers, and database support for science applications.

Human-Computer Interaction

Augmented reality, multi-touch interaction, crowdsourcing, multimodal communication, affective computer, visual analytics of big data, intelligent interface for robots, e-learning, healthcare and e-commerce.

Networking and Computer Systems

Pervasive computing and sensor networks, peer-to-peer computing, grid computing, high-performance switches and routers, video delivery and multicasting, multimedia networking, MAC protocols for ad-hoc networks, web cache management, DDOS detection and defense, and resource management and allocation in optical networks.

Software Technology and Applications

Software engineering, data mining for software analysis and debugging, computer music, cryptography and security, internet computing.

Theoretical Computer Science

Combinatorial optimization, performance analysis techniques, computational geometry, formal languages and machines, graph algorithms, and algorithmic combinatorial game theory.

Vision and Graphics

Computer vision, computer graphics, medical image analysis, biometric systems, and video processing.

Concentrations

  • Energy Technology Concentration
  • Scientific Computation Concentration

Which department am I in?

Department of Computer Science and Engineering

Study options

Full Time (2 years)

Tuition fees
HK$42,100.00 (US$ 5,399) per year
Application deadline

Expected June 2022

More details

Start date

Expected September 2022

Venue

Hong Kong University of Science and Technology

Clear Water Bay,

Sai Kung, Hong Kong, Kowloon

Entry requirements

For students from United States

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: TOEFL- iBT: 80; TOEFL - pBT: 550; TOEFL-Revised paper-delivered test: 60 (total scores for Reading, Listening and Writing sections); IELTS (Academic Module): Overall score: 6.5 and All sub-score: 5.5. Applicants don't need to present TOEFL or IELTS score if their first language is English, or they obtained the bachelor's degree (or equivalent) from an institution where the medium of instruction was English.

For international students

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:

  • TOEFL- iBT: 80*
  • TOEFL- pBT: 550
  • TOEFL-Revised paper-delivered test: 60 (total scores for Reading, Listening and Writing sections)
  • IELTS (Academic Module): Overall score: 6.5 and All sub-score: 5.5

* refers to the total score in one single attempt

Applicants don't need to present TOEFL or IELTS score if

  • their first language is English, or
  • they obtained the bachelor's degree (or equivalent) from an institution where the medium of instruction was English.

*There may be different IELTS requirements depending on your chosen course.

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