課程內容

本課程分為兩部分－必修科目 (共 14 學分) 及選修科目 (共 15 學分)。

選修科目分為三個專業和碩士專題專案及研究，學生可以自由選讀任何選修科。

	學分	學分
必修科目		14
Artificial Intelligence	3
Python for Data Analytics and Artificial Intelligence	3
Quantitative Methods for Data Analytics and Artificial Intelligence	3
Principles and Practices of Data Analytics	3
IT Forum	1
IT Project Skills	1
選修科目		15
專業一：數據分析
Data Security and Privacy	3
Special Topics in Data Analytics	3
Database Systems and Administration	3
Data Mining and Knowledge Discovery	3
Business Intelligence	3
Big Data Analytics	3
專業二：人工智能
Natural Language Processing and Large Language Models	3
Computer Vision	3
Special Topics in Artificial Intelligence	3
Recommender Systems	3
Machine Learning	3
Web Intelligence and Its Applications	3
Data Mining and Knowledge Discovery	3
Business Intelligence	3
Prompt Engineering for Generative AI	3
專業三：智能信息系統
Innovative Laboratory	3
Special Topics in Intelligent Information Systems	3
Blockchain Technology	3
Web and Mobile Programming	3
Financial Technology	3
Health Information Systems: Architecture and Technologies	3
Visual Analytics and Decision Support	3
Cloud Computing	3
碩士專題專案及研究
MSc Practicum	3
MSc Research I	3
MSc Research II	3
		29

備註：教學課程可能會有少許修改。

課程時間表

同學可以選擇一年全日制或兩年兼讀制的學習模式。大部分科目將於平日晚上6:30-9:20舉行，小部分科目、考核活動和補課或會在星期六日間舉行，以方便全日制及兼讀制的學生出席。

全日制學生的課程安排如下：

	上學期 學分	下學期 學分
第一年
Python for Data Analytics and Artificial Intelligence	3
Principles and Practices of Data Analytics	3
Artificial Intelligence	3
Quantitative Methods for Data Analytics and Artificial Intelligence	3
IT Project Skills	1
IT Forum		1
Elective Courses		15

兼讀制學生的課程安排如下：

	上學期 學分	下學期 學分
第一年
Principles and Practices of Data Analytics	3
Quantitative Methods for Data Analytics and Artificial Intelligence	3
IT Project Skills	1
Elective Courses		9
第二年
Python for Data Analytics and Artificial Intelligence	3
Artificial Intelligence	3
IT Forum		1
Elective Courses		6