Master of Artificial Intelligence Programme
| Click to Enroll | Mainland Students | Local Students | Hong Kong, Taiwan And International Students |
Introduction
1. Programme background
The Master of Artificial Intelligence (AI) program helps cultivate AI professionals with a solid theoretical foundation, innovative abilities, and practical experience, meeting the needs of Macao and the Guangdong-Hong Kong-Macao Greater Bay Area. By introducing advanced concepts, core technologies, and application scenarios of AI, the program enables students to understand the applications and development trends of AI in various fields. Real-world case studies help students learn major AI technologies such as machine learning, deep learning, natural language processing, and computer vision. The AI Master's degree program cultivates well-rounded talents with a certain theoretical foundation, programming skills, and practical experience in this field, fostering more AI professionals with considerable expertise and competitiveness, and promoting regional technological progress and economic development.
2. Cultivation Objectives
This master's program is closely aligned with the "Macao Special Administrative Region's Plan for Moderately Diversified Economic Development" and the national "New Generation Artificial Intelligence Development Plan," aiming to cultivate interdisciplinary artificial intelligence talents with both solid theoretical foundations and practical technical skills, enabling students to possess the following core competencies:
- Possess a systematic understanding of AI theories, models, and frameworks, enabling the design of intelligent solutions across various fields such as healthcare, finance, and smart cities.
- Develop research-oriented AI experimental design and validation capabilities, allowing for model optimization and empirical analysis.
- Critically evaluate the interpretability, limitations, and ethical challenges of AI systems, understanding the interactive impact of technology and society.
- Master research methodologies and data analysis techniques to support academic innovation and industrial applications.
- Demonstrate cross-disciplinary integration and collaboration skills, enabling the development of high-quality AI systems or the publication of research papers.
3. Programme Study Plan
Table 1 Specialization Compulsory Modules
|
Core Modules |
Type |
Hours |
Credits |
|
Matrix Analysis |
Compulsory |
45 |
3 |
|
Optimization Theory and Methods |
Compulsory |
45 |
3 |
|
Probability and Statistics |
Compulsory |
45 |
3 |
|
Machine Learning Theory and Practice |
Compulsory |
45 |
3 |
Table 2 Specialization Elective Modules
|
Modules |
Type |
Hours |
Credits |
|
Natural Language Processing |
Elective |
45 |
3 |
|
Computer Vision |
Elective |
45 |
3 |
|
Advanced Data Mining |
Elective |
45 |
3 |
|
Reinforcement Learning |
Elective |
45 |
3 |
|
Special Topics in Smart Healthcare |
Elective |
45 |
3 |
|
Special Topics in Smart Finance |
Elective |
45 |
3 |
|
Special Topics in Artificial Intelligence Security |
Elective |
45 |
3 |
Table 3 Academic Topics
|
Modules |
Type |
Hours |
Credits |
|
Special Academic Topics |
Compulsory |
N/A |
1 |
Table 4 Thesis
|
Modules |
Type |
Hours |
Credits |
|
Thesis |
Compulsory |
N/A |
15 |
Notes:
1. During the study period, students are required to complete the credits for specialization compulsory module , specialization elective modules and the requirements of the various training components stipulated in the module, and obtain a total of 37 credits, which are distributed as follows:
1.1 Complete 12 credits of 4 specialization compulsory modules in Table 1;
1.2 3 elective modules from Table 2 are selected as specialization elective modules, A total of 9 credits.
1.3 1 credits for special academic topics.
1.4 The Thesis is 15 credits.
2. The specific module arrangement in the student's personal training plan shall be determined by the supervisor and the student according to the specialization and research direction. After completing the required modules, students can start writing the thesis proposal report, after the proposal report is approved, students can start writing the thesis.
3. Students are required to publish at least one paper in an academic journal recognized by City University of Macau during their master's degree studies.
4. Students are required to participate in at least ten special academic topics approved by the Academic Committee of the Faculty for a total of 1 credit during the Master's degree programme.
5. Those who have passed the Thesis defense and obtained a total of 37 credits and have not violated the relevant regulations of the University can apply for the award of a master's degree in accordance with the application procedures of the City University of Macau.
|
Programme Structure |
Credits |
|
Specialization Compulsory Modules |
12 |
|
Specialization Elective Modules |
9 |
|
Academic Topics |
1 |
|
Thesis |
15 |
|
Total Credits |
37 |
Note: The medium of instruction is Chinese / English
