Approved Courses for Research Degree Students (CS)

Department of Computer Science

MPhil / PhD students are required to fulfill the stipulated core course and electives requirements.

Core Courses for PhD Students (5 Credits) for 2018 cohort or before:

Code	Course Title	Credits	2024-25 Semester / Term
CS8692	Comprehensive Studies in Selected Topics in Computer Science *	3	A , B
CS8695	Research in Computer Science *	2	A

Core Courses for MPhil Students (2 Credits) for 2018 cohort or before:

Code	Course Title	Credits	2024-25 Semester / Term
CS8695	Research in Computer Science *	2	A

Core Courses for PhD Students (9 Credits) for 2019 cohort and thereafter:

Code	Course Title	Credits	2024-25 Semester / Term
CS5487	Machine Learning: Principles and Practice #	3	A
CS5489	Machine Learning: Algorithms and Applications #	3	B
CS6382	Algorithm Analysis and Game Theory ^	3	A
CS6491	Topics in Optimization and its Applications in Computer Science ^	3	B
CS8692	Comprehensive Studies in Selected Topics in Computer Science *	3	A , B

Research Methodology and Ethics Course for PhD and MPhil Students (2 credits) for 2019 cohort and thereafter:

Code	Course Title	Credits	2024-25 Semester / Term
CS8695	Research in Computer Science *	2	A

Electives for PhD Students (9 Credits)/MPhil Students (5 Credits) for 2018 cohort or before:
Electives for PhD Students (3 Credits)/MPhil Students (5 Credits) for 2019 cohort and thereafter:

Code	Course Title	Credits	2024-25 Semester / Term
CS5182	Computer Graphics	3	B
CS5185	Multimedia Technologies and Applications	3	--
CS5187	Vision and Image	3	A
CS5188	Virtual Reality Technologies and Applications	3	B
CS5222	Computer Networks and Internets	3	A
CS5281	Internet Application Development	3	B
CS5282	Practical Optimization Algorithms and Techniques	3	--
CS5285	Information Security for eCommerce	3	A
CS5286	Algorithms and Techniques for Web Searching	3	--
CS5288	Cryptography: Theory and Practice	3	--
CS5293	Topics on Information Security	3	B
CS5294	Information Security Technology Management	3	--
CS5296	Cloud Computing: Theory and Practice	3	B
CS5348	Software Quality Engineering	3	--
CS5351	Software Engineering	3	A
CS5481	Data Engineering	3	A
CS5483	Data Warehousing and Data Mining	3	B
CS5486	Intelligent Systems	3	B
CS5487	Machine Learning: Principles and Practice #	3	A
CS5488	Big Data Algorithms and Techniques	3	A
CS5489	Machine Learning: Algorithms and Applications #	3	B
CS5491	Artificial Intelligence	3	B
CS6175	Virtual Reality and Game-Engine Technologies	3	--
CS6187	Vision and Language	3	--
CS6288	Topics on eCommerce Technologies	3	--
CS6290	Privacy-enhancing Technologies	3	B
CS6382	Algorithm Analysis and Game Theory ^	3	A
CS6487	Topics in Machine Learning	3	--
CS6491	Topics in Optimization and its Applications in Computer Science ^	3	B
CS6493	Natural Language Processing	3	B

^ PhD students admitted with Catalogue Term Semester A 2019/20 & thereafter have to choose one course from either CS6382 or CS6491 to fulfil Programme Core requirements with the approval from their supervisor.
The remaining one can be selected to fulfil Programme Elective requirements.

# PhD students admitted with Catalogue Term Semester A 2019/20 & thereafter have to choose one course from either CS5487 or CS5489 to fulfil Programme Core requirements with the approval from their supervisor. The remaining one can be selected to fulfil Programme Elective requirements. The offering semesters of CS5487 and CS5489 vary in each Academic Year. Students are advised to check with CS General Office via email: csadm@cityu.edu.hk, if they will take these two courses in next Academic Year.

* For students from CS Department only.