The Master of Science (MSc) Program in Data-Centric Artificial Intelligence Technology is an elite program providing students with unparalleled academic experience through interplay of advanced domain knowledge and practice in big data and AI. Not only will the program teach students the state-of-the-art knowledge in big data and AI through courses delivered by world-class faculty of the University, but it will also offer students opportunities to work on industry level independent projects. In addition, students will be exposed to real-world industry problems and trained with hands-on experience and essential skillset to apply the cutting-edge knowledge learnt in the courses to tackle the contemporary technology problems facing the industry in the one-year mandatory internship.

Along with the exponential growth in volume and availability of data arising from various forms of new innovations and technologies like 5G, Internet of Things (IoT), mobile devices, etc., enterprises are seeking to leverage the power of data and analysis for driving their businesses strategies and operations, leading to continuous growing demands for highly qualified professionals in the field of data science and AI. This program aims to educate students with academic literacy in big data and AI as well as provide students hands-on experience to work on independent projects and internship in the industry. The program enables students to apply learning to practice, empowering them to be skilled technology leaders and successful big data and AI professionals in the fast-changing business environment.

On successful completion of the program, graduates will be able to:

1. Develop advanced knowledge and understanding on state-of-the-art big data and AI technologies and analysis methods, such as Data Mining, AI/ Deep Learning, Data Science and Engineering (Database, Hadoop, HDFS, MLOps), Algorithms, Probabilistic Graphical Models (GNN);
2. Perform various industry data analytics tasks using big data, AI, and computing techniques;
3. Exercise independent thinking and demonstrate critical analytical skills essential from the perspective of big data and AI;
4. Investigate existing problems in big data and AI and conduct original big data and AI research independently with in-depth knowledge and practical experience to solve the complex problems in industry; and
5. Apply a range of big data and AI knowledge and techniques effectively into practice in the academic field and industry for robust data analytics and applications.

1. Minimum Credit Requirement

   30 credits

2. 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.

3. Required Courses

4 credits

4. Elective Courses

12 credits

5. Independent Project

6 credits

6. Internship

8 credits

To qualify for admission, applicants must meet all of the following requirements. Admission is selective and meeting these minimum requirements does not guarantee admission.

Apply online before the application deadlines.

* All international students are required to obtain a student visa (X visa) for studying in China's mainland. For details on student visa (X visa) requirements, please click here.