课程内容

本课程分为两部分－必修科目 (共 14 学分) 及选修科目 (共 15 学分)。

选修科目分为三个专业和硕士专题专案及研究，学生可以自由选读任何选修科。

	学分	学分
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
选修科目		15
专业一：数据分析
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
专业二：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
专业三：智能信息系统
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
硕士专题专案及研究
MSc Practicum	3
MSc Research I	3
MSc Research II	3
		29

备注：教学课程可能会有少许修改。

课程时间表

同学可以选择一年全日制或两年兼读制的学习模式。大部分科目将于平日晚上6:30-9:20举行，小部分科目、考核活动和补课或会在星期六日间举行，以方便全日制及兼读制的学生出席。

全日制学生的课程安排如下：

	上学期 学分	下学期 学分
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

兼读制学生的课程安排如下：

	上学期 学分	下学期 学分
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