Master of Science in Data Analytics and Artificial Intelligence

Programme Director: Prof LEUNG, Yiu Wing 

The programme aims to equip students with cutting-edge methodologies and skills in data analytics and artificial intelligence. By acquiring these competencies, students will be able to apply advanced technologies to transform business needs into real-world IT solutions.

On completion of this programme, students should be able to achieve the following programme intended learning outcomes:

  1. explain the core concepts and methodologies of data analytics and artificial intelligence;
  2. Apply data analytics, artificial intelligence and the related technologies for problem solving and applications; and 
  3. Identify business needs and apply data analytics, artificial intelligence, and the related technologies to transform these needs into real-world IT solutions.

The programme is offered in both one-year full-time and two-year part-time modes:

  1. One-year full-time mode: The normal duration of the programme in the full-time mode is one year, with a two-year maximum study duration, provided that due approval of study extension has been granted.
  2. Two-year part-time mode: The normal duration of the programme in the part-time mode is two years, with a three-year maximum study duration, provided that due approval of study extension has been granted.

The structure of the curriculum is as follows:

I) Required Courses 14 units
II) Elective Courses 15 units
    29 units

Requirements

I. Required Courses 14 units
  COMP7015 Artificial Intelligence 3 units
  COMP7035 Python for Data Analytics and Artificial Intelligence 3 units
  COMP7155 Ethics of Data Analytics and Artificial Intelligence 1 unit
  COMP7180 Quantitative Methods for Data Analytics and Artificial Intelligence 3 units
  COMP7530 IT Forum 1 unit
  COMP7990 Principles and Practices of Data Analytics 3 units
     
II. Elective Courses 15 units
  The elective courses are organised into two streams and MSc Practicum and Research: 
  Data Analytics  
  COMP7065 Innovative Laboratory 3 units
  COMP7135 Audio and Speech Processing 3 units
  COMP7170 Data Security and Privacy 3 units
  COMP7200 Blockchain and Cryptocurrencies 3 units
  COMP7260 Special Topics in Data Analytics 3 units
  COMP7300 Financial Technology  3 units
  COMP7640 Database Systems and Administration 3 units
  COMP7650 Data Mining and Knowledge Discovery 3 units
  COMP7810 Business Intelligence 3 units
  COMP7820 Visual Analytics and Decision Support  3 units
  COMP7930 Big Data Analytics 3 units
  COMP7940 Cloud Computing  3 units
     
  Artificial Intelligence  
  COMP7045 Natural Language Processing and Large Language Models 3 units
  COMP7055 Computer Vision 3 units
  COMP7065 Innovative Laboratory 3 units
  COMP7125 Prompt Engineering for Generative AI 3 units
  COMP7135 Audio and Speech Processing  3 units
  COMP7145 Autonomous Robotics 3 units
  COMP7200 Blockchain and Cryptocurrencies 3 units
  COMP7220 Special Topics in Artificial Intelligence 3 units
  COMP7240 Recommender Systems 3 units
  COMP7250 Machine Learning 3 units
  COMP7630 Web Intelligence and Its Applications 3 units
  COMP7650 Data Mining and Knowledge Discovery 3 units
  COMP7810 Business Intelligence 3 units
     
  MSc Practicum and Research  
  COMP7280 MSc Practicum 3 units
  COMP7960 MSc Research I 3 units
  COMP7970 MSc Research II 3 units
     
  Other courses  
  Students can take at most two of the following designated courses: 
  AIMD7040 Generative AI for Digital Media 3 units
  AIDM7340 AI for Digital Media 3 units
  AIDM7880 AI for Social Good: Laws, Ethics, and Methods 3 units
  COMP7550 IT Project Management 3 units
  COMP7680 Internet and World Wide Web 3 units
  COMP7870 IT Innovation Management and Entrepreneurship 3 units
  COMP7880 E-Business Strategies 3 units
    29 units

Remark: 

There may be minor revisions to the curriculum.

 

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