The elective courses are organized into three streams, namely, Data Analytics, Artificial Intelligence and Intelligent Information Systems and MSc Practicum & Research. Students can select elective courses freely.
| unit(s) | unit(s) | |
|---|---|---|
| Core Courses | 14 | |
| Artificial Intelligence | 3 | |
| Quantitative Methods for Data Analytics and Artificial Intelligence | 3 | |
| Web and Mobile Programming | 3 | |
| Principles and Practices of Data Analytics | 3 | |
| IT Forum | 1 | |
| IT Project Skills | 1 | |
| Elective Courses | 15 | |
| Stream 1 – Data Analytics | ||
| 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 | |
| Stream 2 – Artificial Intelligence | ||
| Special Topics in Artificial Intelligence | 3 | |
| Biometrics | 3 | |
| Recommender Systems | 3 | |
| Machine Learning | 3 | |
| Web Intelligence and Its Applications | 3 | |
| Data Mining and Knowledge Discovery | 3 | |
| Business Intelligence | 3 | |
| Stream 3 – Intelligent Information Systems | ||
| Special Topics in Intelligent Information Systems | 3 | |
| Blockchain Technology | 3 | |
| Intelligent Decision Support Systems | 3 | |
| Algorithmic Trading | 3 | |
| Financial Technology | 3 | |
| Health Information Systems: Architecture and Technologies | 3 | |
| User Interface Design and Usability Testing | 3 | |
| Enterprise Architecture and Information Systems Development | 3 | |
| Information Systems Auditing | 3 | |
| Cloud Computing | 3 | |
| MSc Practicum & Research | ||
| MSc Practicum | 3 | |
| MSc Research I | 3 | |
| MSc Research II | 3 | |
| 29 | ||
Remarks: There may be minor revisions to the curriculum.
