Minor Programme in Data Analytics and Artificial Intelligence

Students seeking to pursue the study of the minor programme would need to fulfil 15 units of courses, with at least one 3-unit course at Level 3 or 4. Please note that no registration priority will be given to enrolment in minor courses. Upon completion of the 15 units required for the minor programme, students should apply for graduation with minor to the Academic Registry for approval.

The structure of the curriculum is as follows:

I) Required Courses 9 units
II) Elective Courses 6 units
    15 units


I. Required Courses 9 units
  COMP1007 Introduction to Python and Its Applications 3 units
  COMP2865 Fundamental of Data Analysis and Management 3 units
  ITEC1007 Getting Started with Artificial Intelligence 3 units
II. Elective Courses 6 units
  Any two of the following courses and at least one 3-unit course at Level 3 or 4:
  COMP3057 Introduction to Artificial Intelligence and Machine Learning 3 units
  COMP3065 Artificial Intelligence Application Development 3 units
  COMP3115 Exploratory Data Analysis and Visualization 3 units
  COMP4015 Artificial Intelligence and Machine Learning 3 units
  COMP4085 Selected Topics in Intelligent Informatics 3 units
  COMP4125 Visual Analytics 3 units
  COMP4135 Recommender Systems and Applications 3 units
  COMP4136 Natural Language Processing 3 units
  COMP4137 Blockchain Technology and Applications 3 units
  ITEC2016 Data-driven Visualization for the Web 3 units
  MATH3626 Computational Statistics for Data Science 3 units
  MATH3827 Logistics, Inventory Models and Networks 3 units
  MATH3836 Data Mining 3 units
    15 units


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