Curriculum

Aim


The programme focuses on the concepts and practices of information systems and covers three themes for advanced information systems (namely, Data Analytics, Artificial Intelligence and Intelligent Information Systems). Students learn solid concepts and gain hands-on skills in these themes, so that they could apply these concepts and skills to solve real-world information system problems.

Programme Characteristics


  1. This programme integrates concepts and practices in the areas of data analytics and artificial intelligence to cope with the current and emerging market demands in the IT industry;
  2. The programme offers optional overseas outreach learning activities (e.g., overseas internship, overseas workshop, overseas study tour, etc.), so that student could learn outside the classrooms to widen their horizons.

Programme Structure & Courses


The programme includes 14 units of core courses and 15 units of elective courses.

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 Courses14
Artificial Intelligence3
Quantitative Methods for Data Analytics and Artificial Intelligence3
Python for Data Analytics and Artificial Intelligence3
Principles and Practices of Data Analytics3
IT Forum1
IT Project Skills1

Elective Courses15
Stream 1 – Data Analytics
Data Security and Privacy3
Special Topics in Data Analytics3
Database Systems and Administration3
Data Mining and Knowledge Discovery3
Business Intelligence3
Big Data Analytics3
Natural Language Processing3

Stream 2 – Artificial Intelligence
Special Topics in Artificial Intelligence3
Recommender Systems3
Machine Learning3
Web Intelligence and Its Applications3
Data Mining and Knowledge Discovery3
Business Intelligence3
Computer Vision3

Stream 3 – Intelligent Information Systems
Special Topics in Intelligent Information Systems3
Blockchain Technology3
Intelligent Decision Support Systems3
Financial Technology3
Health Information Systems: Architecture and Technologies3
Cloud Computing3
Web and Mobile Programming3
Innovative Laboratory3

MSc Practicum & Research
MSc Practicum3
MSc Research I3
MSc Research II3

29

Remarks: There may be minor revisions to the curriculum.

Duration & Schedule


The programme is offered in both one-year full-time mode and two-year part-time mode. Most classes are conducted on weekday nights and Saturdays, so that both part-time and full-time students can attend these classes. Some courses may be offered in the daytime for full-time students.

For full-time study, the normal study schedule is as follows:

Semester 1
(units)
Semester 2
(units)
First Year
Python for Data Analytics and Artificial Intelligence3
Principles and Practices of Data Analytics3
Artificial Intelligence3
Quantitative Methods for Data Analytics and Artificial Intelligence3
IT Project Skills1
IT Forum1
Elective Courses15

For part-time study, the normal study schedule is as follows:

Semester 1
(units)
Semester 2
(units)
First Year
Principles and Practices of Data Analytics3
Quantitative Methods for Data Analytics and Artificial Intelligence3
IT Project Skills1
Elective Courses9
Second Year
Python for Data Analytics and Artificial Intelligence3
Artificial Intelligence3
IT Forum1
Elective Courses6

Medium of Instruction


The medium of instruction is English. All teaching and learning materials are in English.