Doctor of Philosophy in Networking and Communication
Program Introduction
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Duration of Study
The normal duration of this program is 3 years,and the maximum duration is 6 years.
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Teaching Approach
Face-to-face Teaching
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Teaching Language
Chinese/English
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Academic Field
Information and Communication Technologies
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Course Introduction
This program will train students to understand cutting-edge research issues in networks and communications, and improve the research level of networks and communications by combining cutting-edge technologies such as big data, artificial intelligence, and new generation computing. At the same time, the course will also arrange for students to conduct in-depth research on a certain topic in the field of network and communications under the guidance of instructors, and produce innovative research results. Through the training of this course, students should have the ability to conduct independent scientific research and conduct in-depth research in the field of networks and communications.
Study Plan
Admission Requirements
Master's degree holders in Computer Science and Technology, Software Engineering, Control Science and Engineering, Information and Communications Technology, Electronic Science and Technology, Statistics, Mathematics or related fields.
(Applicants must submit proof of English proficiency)
Research Area
Artificial Intelligence and Networking, Artificial Intelligence and Communication, Privacy-Preserving Computation, Information Security, Quantum Computing, Quantum Machine Learning, Blockchain and Web3 Technology
Course Structure
Table 1: Core Courses (10 Credits)
Course Code | Course Title | Credit |
DNCZ01 | Literature Review and Thesis Proposal | 2 |
DNCZ02 | Academic Activities | 2 |
DNCZ03 | Networking and Communication | 3 |
DNCZ04 | Cybersecurity | 3 |
Table 2: Elective Courses (University has the ultimate right to cancel the course with insufficient number of students, 6 Credits)
Course Code | Course Title | Credit |
DNCE01 | Special Topics in Networking and Communication | 3 |
DNCE02 | Special Topics in Parallel and Distributed Computing | 3 |
DNCE03 | Special Topics in Advanced Algorithms | 3 |
DNCE04 | Special Topics in Artificial Intelligence and Machine Learning | 3 |
DNCE05 | Special Topics in Frontier Computing Technology | 3 |
DNCE06 | Special Topics in Advanced Mathematics | 3 |
Table 3: Dissertation (18 Credits) (Core Course)
Course Code | Course Title | Credit |
DNCZ10 | Dissertation | 18 |
Course Description
Compulsory Courses
Literature Review and Thesis Proposal (2 Credit)
This course aims to guide students to understand the current research status in the field of networks and communications, and to help students better understand the problems to be solved and possible solutions in this field through literature review, to guide students to better choose research directions and complete selection of doctoral research topics.
Academic Activities (2 Credit)
This course is designed to allow students to understand the development trends in related fields such as networks and communications, and to make necessary preparations for doctoral thesis topic selection. In this course, students need to listen to a certain number of academic reports, read a certain amount of literature, write an English academic paper and give an oral report in English.
Networking and Communication (3 Credit)
This course aims to introduce and discuss important research progress and development trends in the field of network and communications, including but not limited to next-generation Internet, industrial Internet, software-defined networks, Internet of Vehicles, 5G/B5G/6G mobile communication networks, optical Communication technology, quantum communication technology, etc.
Cybersecurity (3 Credit)
This course aims to discuss the latest developments in the field of cyberspace security such as cryptography, network communication protocols and security, software and system security, multimedia content security, big data analysis and security, and digital forensics technology.
Elective Courses
Special Topics in Networking and Communication (3 Credit)
This course aims to learn and master the theory and technology of networks and communications, understand the development trend of future networks and communications, and lay a solid theoretical foundation for solving research problems in networks and communications.
Special Topics in Parallel and Distributed Computing (3 Credit)
This course aims to learn and master key technologies in parallel and distributed computing, lay a solid theoretical foundation, and be used to solve research problems in networks and communications.
Special Topics in Advanced Algorithms (3 Credit)
This subject aims to learn and master the mainstream algorithms in networks and communications, lay a solid theoretical foundation, and use it to solve research problems in networks and communications.
Special Topics in Artificial Intelligence and Machine Learning (3 Credit)
This course aims to learn and master relevant knowledge of artificial intelligence, machine learning, deep learning and other disciplines, and lay a solid theoretical foundation for solving research problems in networks and communications.
Special Topics in Frontier Computing Technology (3 Credit)
This course aims to learn and master the relevant knowledge of mainstream cutting-edge computing technologies such as quantum computing, bionic computing and nanocomputing, understand the principles and potential of new technologies, and lay a solid theoretical foundation for solving research problems in networks and communications.
Special Topics in Advanced Mathematics (3 Credit)
This course aims to learn and master mathematical theoretical knowledge such as stochastic processes and stochastic optimization, and lay a solid theoretical foundation for solving research problems in networks and communications
Degree Requirements
1. During the first two semesters, students are required to complete two courses "Networking and Communication" and "Cybersecurity" in Table 1 for a total of 6 credits. 2. During the first two semesters, students are required to take 2 elective courses in Table 2, for a total of 6 credits, according to their research interests and professional background. 3. During the first two years, students are required to participate in at least 30 hours of “Academic Activities” in Table 1, for a total of 2 credits. 4. During the second year, students are required to complete the “Literature Review and Thesis Proposal” in Table 1, for a total of 2 credits. 5. After completing required courses, students can start writing the thesis proposal. Students can continue their dissertation research and writing upon completion of thesis proposal defense. 6. Each student shall publish at least two academic papers (2 SCI, or 1 SCI with 1 China Computer Federation (CCF) recommended international academic conference directory (latest version) category B or above). One of the two papers must be as the first author, before applying for doctoral dissertation defense. 7. The dissertation should pass the assessment and be defended successfully.
Learning Time
1. In general. The duration for dissertation composition shall be within 24 months, and the writing time shall not be less than 12 months. 2. The classes will be generally arranged in the evening from Monday to Friday, or Saturday.
Qualifications of Graduation
Upon approval from the Senate of the University, the degree of Doctor of Philosophy in Networking and Communication will be conferred on a student when he or she has: 1. Completed and met the requirements prescribed in the study plan of his or her program within the specific study period, and achieved a cumulative GPA of 2.50 or above (excluding dissertation). 2. Abided by the regulations of the University. 3. Cleared all fees and charges and returned all University’s property and equipment borrowed. Note: 1. All curriculums and study plans are based on the newest announcement of the Boletim Oficial da Região Administrativa Especial de Macau. 2. In case of any discrepancy, the Chinese version shall prevail.
