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 |
Requirements
| I. | Required Courses | 9 units |
| Either | ||
| COMP1007 Introduction to Python and Its Applications | 3 units | |
| or | ||
| COMP1016 Mathematical Methods for Business Computing | 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 | |
| ITEC3015 Web Development for Data Storytellers | 3 units | |
| MATH3626 Computational Statistics for Data Science | 3 units | |
| MATH3836 Data Mining | 3 units | |
| 15 units | ||
