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Master of Science in Generative Artificial Intelligence (62002-GFM/GPM)

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[This programme is subject to validation.]

 

Award Requirements

 

[The following information is applicable to cohorts admitted in or after 2027/28.]

 

Each subject takes place once a week in the evening over a 13-week semester. Full-time students normally take five subjects in a semester, whereas part-time students usually take two or three subjects. Some subjects may be offered during the summer to provide students with greater flexibility in designing their own study plan.

 

Students are required to complete 31 credits. All subjects carry 3 credits, unless otherwise specified. Student needs to complete either of the following options:

 

Option 1

  • 18 credits of Compulsory subjects
  • 9 credits of Elective subjects under Artificial Intelligence category
  • 3 credits of Elective subjects
  • 1 credit of Academic Integrity and Ethics (AIE) subject
  • non-credit bearing National Education (NE) requirement

 

Option 2

  • 15 credits of Compulsory subjects
  • 9 credits of Dissertation
  • 3 credits of Elective subjects
  • 1 credit of Academic Integrity and Ethics (AIE) subject
  • non-credit bearing National Education (NE) requirement

 

Normally, only students who have completed 12 credits and the AIE subject (1 credit) with GPA 3.0 or above at the end of Semester One will be considered for Option 2.

 

List of Subjects

 

[The following information is applicable to cohorts admitted in or after 2027/28.]

 

Below is the table summarising the core and elective subjects. The table is subjected to finalization. Affected students will be informed if there are further changes.

 

Compulsory Subjects

AMA574 Generative AI and Foundation Models

COMP5584 Large Language Models for Agents

DSAI5201 Artificial Intelligence and Big Data Computing in Practice

DSAI5205 Introduction to Artificial Intelligence

DSAI5207 Modern Deep Learning

DSAI5211 Automated Machine Learning

Elective Subjects

Artificial Intelligence

COMP5423 Natural Language Processing

COMP5541 Machine Learning and Data Analytics

DSAI5105 Hands-on Al for Science and Technology

DSAI5106 AI for Healthcare

DSAI5203 Brain-inspired Computing

DSAI5209 Visual Data Representation and Processing

DSAI5210 AI Security

DSAI5901 Dissertation (9 credits)

ME5301 Embodied Robot Intelligence

Other

AMA507 Mathematical Modelling for Science and Technology

AMA524 Scientific Computing

COMP5355 Cyber and Internet Security

Academic Integrity and Ethics (AIE) - Compulsory Subject

DSAI5T09 Academic Integrity and Ethics in Computer and Mathematical Sciences

 

All subjects are offered at the discretion of subject offering departments, depending on students’ demand and resources available.


 

Programme Requirement Document

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2027/28 Cohort [restricted access for DSAI designated staff/students]

 

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