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:

  1. demonstrate a thorough grounding in the concepts, theories and practice of communication studies in the digital age;
  2. enable students to build applied skills and conduct technical planning in a variety of services and products;
  3. apply professional knowledge, skills and standards in work situations, with social consciousness and ethical responsibility; and
  4. 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


I. Required Courses 18 units
  Bridging courses*
  AIDM7320 Basics in Media and Communication 3 units
  AIDM7330 Basic Programming for Data Science 3 units
  Core courses  
  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
II. Elective Courses 12–15 units
  AIDM7010 Media Psychology 3 units
  AIDM7020 AI and Big Data Applications in Market Analytics 3 units
  AIDM7370 AI Theories and Applications 3 units
  AIDM7380 Recommender Systems 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
  COMM7020 Approaches and Methods in Communication Research 3 units
  COMM7060 Issues in Corporate Communication 3 units
  COMM7160 Organizational Communication 3 units
  COMM7560 Political Communication and Public Opinion 3 units
  COMM7630 Qualitative Research Methods 3 units
  COMM7650 Introduction to Social Science Theories 3 units
  COMM7780 Big Data Analytics for Media and Communication 3 units
  COMM7830 Media Communications and Psychology 3 units
  COMM7880 Advanced Quantitative Communication Research Methods 3 units
  COMM7890 Communication Research Thesis 3 units
   JOUR7070 Theories of Journalism and Communication  30 units

* Starting from the academic year 2021-2022, students matching the requirements and upon approval can replace up to one bridging course with one elective course.


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.

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