Master of Science in Computer Science

Sample Study Schedules


Each student should plan his/her own study schedule to earn credit units for the MSc in Computer Science award. The plan can be formulated with the assistance and advice from academic staff. Below are some sample study schedules for illustration purpose.

Refer to Taught Postgraduate Catalogue for more information of individual courses.

SAMPLE Full-time Study Plan (taking Project course with No Stream)

Semester A CS5222
Computer Networks and Internets
CS5351
Software Engineering
CS5481
Data Engineering
CS5187
Vision and Image
CS5489
Machine Learning: Algorithms and Applications
Semester B CS6520
Project
CS5182
Computer Graphics
CS5483
Data Warehousing and Data Mining
CS6290
Privacy-enhancing Technologies
 
Summer Term CS6520
Project (continued)
       

 

SAMPLE Full-time Study Plan (Information Security Stream)

Semester A CS5222
Computer Networks and Internets
CS5351
Software Engineering
CS5481
Data Engineering
CS5285
Introduction to Cybersecurity
CS5294
Information Security Technology Management
Semester B CS5182
Computer Graphics
CS5491
Artificial Intelligence
CS5483
Data Warehousing and Data Mining
CS6290
Privacy-enhancing Technologies
CS6537
Guided Study in Information Security

 

SAMPLE Part-time Study Plan (Artificial Intelligence Stream)

Year 1
Semester A CS5222
Computer Networks and Internets
CS5481
Data Engineering
CS5187
Vision and Image
Semester B CS5182
Computer Graphics
CS5487
Machine Learning: Principles and Practice
 
Year 2
Semester A CS5351
Software Engineering
CS5486
Intelligent Systems
CS5489
Machine Learning: Algorithms and Applications
Semester B CS5491
Artificial Intelligence
CS5182
Computer Graphics

The courses offered in each semester may very depending on student demand, staff availability, and other circumstances.

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