Master of Science in AI and Digital Media
Programme Director: Dr ZHANG, Xinzhi
The programme aims to provide students with cutting-edge interdisciplinary knowledge of and skills in AI and media communication needed for the computational and digital age. Students are expected to become proficient in essential aspects of data-driven research, story-telling, branding and promotion, audience engagement and editorial decision-making. Students are also expected to be able to apply these data media and communications skills to produce analytics, solutions and insights for media organisations and others in or connected to the industry. Grounded in an academic core of several theoretical and methodological courses, the Programme offers a wide range of elective courses focusing on knowledge and practice in media institutions and operations in the context of the digital transition. These combinations of courses have been chosen with the specific goal of nurturing high-quality, ethical professionals and managerial personnel in the media and communication industry.
On completion of the programme, students will be able to:
- demonstrate a thorough grounding in the concepts, theories and practice of communication studies in the digital age;
- enable students to build applied skills and conduct technical planning in a variety of services and products;
- apply professional knowledge, skills and standards in work situations, with social consciousness and ethical responsibility; and
- think analytically, critically, and independently, and demonstrate leadership skills in the context of public goods and society well-being.
An interim award of Postgraduate Diploma (PgD) in AI and Digital Media has been introduced for students who are unable to complete the graduation requirements for the MSc degree. To be awarded the Postgraduate Diploma, students must have completed 21 units of the courses. Students must have passed the courses at grade C- or above and achieved a cumulative GPA of at least 2.5 for these 21 units.
The structure of the curriculum is as follows:
| I) | Required Courses | 15–18 units |
| II) | Elective Courses | 12–15 units |
| 30 units |
Requirements
| I. | Required Courses | 15–18 units |
| For students with computer science background (15 units) |
||
| AIDM7320 Basics in Media and Communication | 3 units | |
| AIDM7340 AI for Digital Media | 3 units | |
| AIDM7350 AI and Digital Media Workshop | 3 units | |
| Either | ||
| AIDM7360 Big Data Management and Analytics | 3 units | |
| Or | ||
| AIDM7390 Data Mining and Knowledge Discovery for Digital Media | 3 units | |
| Either | ||
| AIDM7370 AI Theories and Applications | 3 units | |
| Or | ||
| AIDM7380 Recommender Systems for Digital Media | 3 units | |
| For students with media and communication background (15 units) | ||
| AIDM7330 Basic Programming for Data Science | 3 units | |
| AIDM7340 AI for Digital Media | 3 units | |
| AIDM7350 AI and Digital Media Workshop | 3 units | |
| Either | ||
| AIDM7360 Big Data Management and Analytics | 3 units | |
| Or | ||
| AIDM7390 Data Mining and Knowledge Discovery for Digital Media | 3 units | |
| Either | ||
| AIDM7370 AI Theories and Applications | 3 units | |
| Or | ||
| AIDM7380 Recommender Systems for Digital Media | 3 units | |
| For students from other background (18 units) | ||
| AIDM7320 Basics in Media and Communication | 3 units | |
| AIDM7330 Basic Programming for Data Science | 3 units | |
| AIDM7340 AI for Digital Media | 3 units | |
| AIDM7350 AI and Digital Media Workshop | 3 units | |
| Either | ||
| AIDM7360 Big Data Management and Analytics | 3 units | |
| Or | ||
| AIDM7390 Data Mining and Knowledge Discovery for Digital Media | 3 units | |
| Either | ||
| AIDM7370 AI Theories and Applications | 3 units | |
| Or | ||
| AIDM7380 Recommender Systems for Digital Media | 3 units | |
| For students with background in both media and communication and computer science (15 units) |
||
| AIDM7340 AI for Digital Media | 3 units | |
| AIDM7350 AI and Digital Media Workshop | 3 units | |
| AIDM7360 Big Data Management and Analytics | 3 units | |
| AIDM7390 Data Mining and Knowledge Discovery for Digital Media | 3 units | |
| Either | ||
| AIDM7370 AI Theories and Applications | 3 units | |
| Or | ||
| AIDM7380 Recommender Systems for Digital Media | 3 units | |
| II. | Elective Courses | 12–15 units |
| AIDM7010 Media Psychology | 3 units | |
| AIDM7360 Big Data Management and Analytics# | 3 units | |
| AIDM7370 AI Theories and Applications# | 3 units | |
| AIDM7380 Recommender Systems for Digital Media# | 3 units | |
| AIDM7390 Data Mining and Knowledge Discovery for Digital Media# | 3 units | |
| AIDM7400 Data Analysis and Visualization Studio | 3 units | |
| AIDM7410 Computational Journalism | 3 units | |
| AIDM7420 News and Feature Writing for Digital Media | 3 units | |
| AIDM7430 Media Communications and Biology | 3 units | |
| AIDM7440 Visual Analytics and Decision Support for Digital Media | 3 units | |
| AIDM7450 Dynamic Web and Mobile Programming for Digital Media | 3 units | |
| AIDM7460 Digital Media Research Project | 3 units | |
| AIDM7620 Social Media and Online Social Networks | 3 units | |
| AIDM7830 Media Communications and Psychology | 3 units | |
| AIDM7840 Algorithmic Culture | 3 units | |
| AIDM7850 Emerging Technology for Media and Communication | 3 units | |
| 30 units |
# All students are required to take at least two core elective courses, these courses if not chosen as core elective can be taken as free elective course.
Remark:
An academic advisory system (led by the Progamme Directors) will be established to help students understand the structure of the Programme at the beginning of the first semester.
