本課程旨在培育學生掌握數據分析與人工智慧領域的前沿方法與技能。學生透過學習這些專業能力，將業務需求有效轉化為資訊科技領域的解決方案。
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 (i) 數據分析，(ii) 人工智能和 (iii) 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 | |
| Ethics of Data Analytics and Artificial Intelligence | 1 | |
| 選修科目 | 15 | |
| 專業一：數據分析 | ||
| Innovative Laboratory | 3 | |
| Data Security and Privacy | 3 | |
| Blockchain and Cryptocurrenciesx | 3 | |
| Special Topics in Data Analytics | 3 | |
| Financial Technology | 3 | |
| Database Systems and Administration | 3 | |
| Data Mining and Knowledge Discovery | 3 | |
| Business Intelligence | 3 | |
| Visual Analytics and Decision Support | 3 | |
| Big Data Analytics | 3 | |
| Cloud Computing | 3 | |
| Audio and Speech Processing | 3 | |
| 專業二：人工智能 | ||
| Natural Language Processing and Large Language Models | 3 | |
| Computer Vision | 3 | |
| Innovative Laboratory | 3 | |
| Prompt Engineering for Generative AI | 3 | |
| Blockchain and Cryptocurrencies | 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 | |
| Audio and Speech Processing | 3 | |
| Autonomous Robotics | 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。
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 | |
| Ethics of Data Analytics and Artificial Intelligence | 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 | |
| Ethics of Data Analytics and Artificial Intelligence | 1 | |
| Elective Courses | 9 | |
| 第二年 | ||
| Python for Data Analytics and Artificial Intelligence | 3 | |
| Artificial Intelligence | 3 | |
| IT Forum | 1 | |
| Elective Courses | 6 |
授課語言為英語，所有教材都是以英語編寫。