Diploma in Applied Artificial Intelligence (T69)

Subject Code	Subject	Credit Units
CIT1C21	Application Development Project This subject introduces coding principles and practices using a functional and/or object-oriented approach. The subject also introduces the development of an IT application using the latest technologies. Topics covered include simple data structures, application architecture, design, and development.	4
CIT1C18	Computational Thinking This subject introduces the fundamentals of computational thinking and how it is applied in developing programming solutions to problems. Programming concepts, simple data structures and programming techniques are also covered.	4
CCF1C03	Cybersecurity Fundamentals This subject introduces the key principles of information security namely confidentiality, integrity and availability and their application in various real-world scenarios. Topics covered include IT law, data governance and security, international standards, security policies, procedures, processes to protect IT systems against cyber-attacks and information breaches. It also covers what is required to protect and defend digital systems and applications in the cyberspace. Common types of cyber risks, threats and attacks, as well as the applicable controls, will be discussed.	2
CIA1C11	Data Visualisation and Analytics This subject covers the data analytics lifecycle, including gathering, cleaning, processing and visualising of data. Exploratory data analysis methods, descriptive and predictive analytics and the presentation of insights will also be covered.	4
CIA1C06	Database Application Development This subject introduces the fundamental concepts of relational database systems, the design methods specific to relational database, database manipulation using a database query language, and the techniques of implementing relational databases. It will also cover implementation of simple applications to access relational database.	4
CIT1C14	Data Structures and Algorithms This subject introduces the fundamentals of recursion and data structures in solving problems using a programming language. Topics covered include stacks, queues and linked lists. Searching techniques and sorting algorithms are also covered.	4
CIA1C07	Logic and Mathematics The subject covers logic, functions, sequence & recursion, and graphs. It covers mathematical processes for developing algorithms in computing and other real-life applications. Topics covered include the fundamental mathematical concepts needed for computing.	3
CCF1C04	Network and Cloud Technology This subject covers both the theoretical and practical elements of networking and its associated technologies. It encompasses various topics such as network protocols and communications, and cloud computing and its significance in modern networking environments.	4
CIT1C19	User Experience and Interface Design This subject introduces the concept of Human-Centered Design, and its practice to create useful digital products and interfaces that offer an enriching user experience (UX). The topics covered include designing sustainable interfaces, need findings, sketching and prototyping for interactive experience, and usability testing with accessibility considerations.	3

Subject Code

Subject

Credit Units

CIT1C21

Application Development Project

This subject introduces coding principles and practices using a functional and/or object-oriented approach. The subject also introduces the development of an IT application using the latest technologies. Topics covered include simple data structures, application architecture, design, and development.

CIT1C18

Computational Thinking

This subject introduces the fundamentals of computational thinking and how it is applied in developing programming solutions to problems. Programming concepts, simple data structures and programming techniques are also covered.

CCF1C03

Cybersecurity Fundamentals

This subject introduces the key principles of information security namely confidentiality, integrity and availability and their application in various real-world scenarios. Topics covered include IT law, data governance and security, international standards, security policies, procedures, processes to protect IT systems against cyber-attacks and information breaches.

It also covers what is required to protect and defend digital systems and applications in the cyberspace. Common types of cyber risks, threats and attacks, as well as the applicable controls, will be discussed.

CIA1C11

Data Visualisation and Analytics

This subject covers the data analytics lifecycle, including gathering, cleaning, processing and visualising of data. Exploratory data analysis methods, descriptive and predictive analytics and the presentation of insights will also be covered.

CIA1C06

Database Application Development

This subject introduces the fundamental concepts of relational database systems, the design methods specific to relational database, database manipulation using a database query language, and the techniques of implementing relational databases. It will also cover implementation of simple applications to access relational database.

CIT1C14

Data Structures and Algorithms

This subject introduces the fundamentals of recursion and data structures in solving problems using a programming language. Topics covered include stacks, queues and linked lists. Searching techniques and sorting algorithms are also covered.

CIA1C07

Logic and Mathematics

The subject covers logic, functions, sequence & recursion, and graphs. It covers mathematical processes for developing algorithms in computing and other real-life applications. Topics covered include the fundamental mathematical concepts needed for computing.

CCF1C04

Network and Cloud Technology

This subject covers both the theoretical and practical elements of networking and its associated technologies. It encompasses various topics such as network protocols and communications, and cloud computing and its significance in modern networking environments.

CIT1C19

User Experience and Interface Design

This subject introduces the concept of Human-Centered Design, and its practice to create useful digital products and interfaces that offer an enriching user experience (UX). The topics covered include designing sustainable interfaces, need findings, sketching and prototyping for interactive experience, and usability testing with accessibility considerations.

Subject Code	Subject	Credit Units
CAI2C17	AI and Ethics This subject provides an overview of the ethical considerations in designing, developing, and implementing Artificial Intelligence (AI) as well as the development and techniques to eliminate AI biases. This includes insights of the usage and implications of AI, the risks of applying AI without a framework that encompasses rules and policies, and the practical approaches to handling ethical issues in AI. In addition, the subject will address the ethical challenges brought about by emerging trends such as Generative AI.	2
CAI2C08	Machine Learning for Developers This subject introduces the fundamentals of machine learning principles and practices. It covers a range of machine learning models and algorithmic machine learning methods, such as supervised learning.	4
CAI2C11	AI Agents and Intelligent Automation This subject explores agentic AI systems that plan, reason, and adapt in dynamic environments. It equips students with foundational automation knowledge and advanced skills to design hybrid and ethical solutions using bots and intelligent agents. Through hands-on labs and projects, they gain practical experience in deploying and monitoring automation solutions for complex, real-world industry applications.	4
CAI2C12	Principles of Computer Vision This subject covers core techniques such as image formation, filtering, edge detection, feature extraction, segmentation, and object recognition. Students will apply established libraries through hands-on labs and projects to build practical applications, gaining experience in developing foundational vision systems for domains such as robotics, security, and healthcare.	4
CAI2C13	Conversational AI Systems Development This subject equips students with knowledge and practical skills in dialogue management, natural language understanding, and system integration. Through projects and labs, learners build multi-turn, API-integrated chatbots that deliver responsive, ethical, and context-aware interactions across domains such as healthcare, customer service, and smart devices, gaining practical skills in real-world applications.	4
CAI2C14	Deep Learning and Intelligent Vision This subject equips students with vision techniques using convolutional neural networks (CNNs), transfer learning, and modern architectures. Learners apply frameworks such as TensorFlow or PyTorch to design, train, and evaluate models, developing ethical solutions for domains such as autonomous driving, healthcare imaging, and facial recognition, while gaining practical expertise for research and industry applications.	4
CAI2C15	Machine Learning Operations This subject equips students with practical expertise in versioning, workflows, automated testing, continuous integration/continuous deployment (CI/CD), and monitoring, preparing them for AI and machine learning operations roles to build scalable, reliable, and responsible AI pipelines. Students apply testing methods, explore workflow approaches, and complete projects that replicate real-world scenarios.	4
CAI2C05	Natural Language Processing This subject provides an overview of the concepts of Natural Language Processing (NLP) and its applications in virtual assistant (or chatbot), text classification, and Generative AI. Topics covered also include text pre-processing techniques, dialogue management and response generation, and large language models.	4
CAI2C16	Generative AI Systems Development This subject immerses students in large language models, fine-tuning, and retrieval-augmented generation, with hands-on focus on coding autonomous agentic systems, equipping graduates to build advanced and responsible AI solutions aligned with industry needs. Through projects, they explore agentic architectures, develop problem-solving strategies, and apply generative AI techniques to tackle complex, real-world challenges across industries.	4

Subject Code

Subject

Credit Units

CAI2C17

AI and Ethics

This subject provides an overview of the ethical considerations in designing, developing, and implementing Artificial Intelligence (AI) as well as the development and techniques to eliminate AI biases. This includes insights of the usage and implications of AI, the risks of applying AI without a framework that encompasses rules and policies, and the practical approaches to handling ethical issues in AI. In addition, the subject will address the ethical challenges brought about by emerging trends such as Generative AI.

CAI2C08

Machine Learning for Developers

This subject introduces the fundamentals of machine learning principles and practices. It covers a range of machine learning models and algorithmic machine learning methods, such as supervised learning.

CAI2C11

AI Agents and Intelligent Automation

This subject explores agentic AI systems that plan, reason, and adapt in dynamic environments. It equips students with foundational automation knowledge and advanced skills to design hybrid and ethical solutions using bots and intelligent agents. Through hands-on labs and projects, they gain practical experience in deploying and monitoring automation solutions for complex, real-world industry applications.

CAI2C12

Principles of Computer Vision

This subject covers core techniques such as image formation, filtering, edge detection, feature extraction, segmentation, and object recognition. Students will apply established libraries through hands-on labs and projects to build practical applications, gaining experience in developing foundational vision systems for domains such as robotics, security, and healthcare.

CAI2C13

Conversational AI Systems Development

This subject equips students with knowledge and practical skills in dialogue management, natural language understanding, and system integration. Through projects and labs, learners build multi-turn, API-integrated chatbots that deliver responsive, ethical, and context-aware interactions across domains such as healthcare, customer service, and smart devices, gaining practical skills in real-world applications.

CAI2C14

Deep Learning and Intelligent Vision

This subject equips students with vision techniques using convolutional neural networks (CNNs), transfer learning, and modern architectures. Learners apply frameworks such as TensorFlow or PyTorch to design, train, and evaluate models, developing ethical solutions for domains such as autonomous driving, healthcare imaging, and facial recognition, while gaining practical expertise for research and industry applications.

CAI2C15

Machine Learning Operations

This subject equips students with practical expertise in versioning, workflows, automated testing, continuous integration/continuous deployment (CI/CD), and monitoring, preparing them for AI and machine learning operations roles to build scalable, reliable, and responsible AI pipelines. Students apply testing methods, explore workflow approaches, and complete projects that replicate real-world scenarios.

CAI2C05

Natural Language Processing

This subject provides an overview of the concepts of Natural Language Processing (NLP) and its applications in virtual assistant (or chatbot), text classification, and Generative AI. Topics covered also include text pre-processing techniques, dialogue management and response generation, and large language models.

CAI2C16

Generative AI Systems Development

This subject immerses students in large language models, fine-tuning, and retrieval-augmented generation, with hands-on focus on coding autonomous agentic systems, equipping graduates to build advanced and responsible AI solutions aligned with industry needs. Through projects, they explore agentic architectures, develop problem-solving strategies, and apply generative AI techniques to tackle complex, real-world challenges across industries.

	Subject Code	Subject	Credit Units
	CMP3101	Major Project This subject involves the integration of knowledge and skills acquired from the various subjects in the course. It helps students develop a practical understanding of the products, methodologies, processes, systems, project management and presentation skills needed for AI related application projects. Students will develop, present and demonstrate solutions to a problem.	10

Subject Code

Subject

Credit Units

CMP3101

Major Project

This subject involves the integration of knowledge and skills acquired from the various subjects in the course. It helps students develop a practical understanding of the products, methodologies, processes, systems, project management and presentation skills needed for AI related application projects. Students will develop, present and demonstrate solutions to a problem.

	Subject Code	Subject	Credit Units
	CAI2C06	AI for Advanced Manufacturing This subject emphasises technical skills required for applying machine learning and deep learning algorithms and deploying Artificial Intelligence (AI) models in the area of advanced manufacturing. It covers the topics on data analytics, supervised and unsupervised machine learning models, deep learning model and their applications in advanced manufacturing. This subject also covers the impact of AI in sustainable manufacturing.	4
	CAI2C07	AI for Cybersecurity This subject will introduce knowledge and skills needed to implement Artificial Intelligence (AI) in cybersecurity. Topics covered in the subject will include an introduction to cybersecurity, implementations of AI in cybersecurity, and defending against threats targeting AI technologies.	4

Subject Code

Subject

Credit Units

CAI2C06

AI for Advanced Manufacturing

This subject emphasises technical skills required for applying machine learning and deep learning algorithms and deploying Artificial Intelligence (AI) models in the area of advanced manufacturing. It covers the topics on data analytics, supervised and unsupervised machine learning models, deep learning model and their applications in advanced manufacturing. This subject also covers the impact of AI in sustainable manufacturing.

CAI2C07

AI for Cybersecurity

This subject will introduce knowledge and skills needed to implement Artificial Intelligence (AI) in cybersecurity. Topics covered in the subject will include an introduction to cybersecurity, implementations of AI in cybersecurity, and defending against threats targeting AI technologies.

	Subject Code	Subjects	Credit Units
	CIT2C30	Green Software Principles This subject covers the Green Software principles and takes into consideration the software design practices and technologies that optimise energy usage, minimise carbon footprint and promote environmental awareness.	4
	CDA2C08	Data Analytics for Environmental Sustainability This subject provides an introduction to the principles of sustainability and how data analytics and Artificial Intelligence (AI) techniques can be used to address environmental challenges. It explores techniques and tools for data-driven decision-making such as analysing climate data and predicting the impact of climate change.	4

Subject Code

Subjects

Credit Units

CIT2C30

Green Software Principles

This subject covers the Green Software principles and takes into consideration the software design practices and technologies that optimise energy usage, minimise carbon footprint and promote environmental awareness.

CDA2C08

Data Analytics for Environmental Sustainability

This subject provides an introduction to the principles of sustainability and how data analytics and Artificial Intelligence (AI) techniques can be used to address environmental challenges. It explores techniques and tools for data-driven decision-making such as analysing climate data and predicting the impact of climate change.

	Subject Code	Subjects	Credit Units
	CIT2C27	Guided Work-based Learning 1 This is a competency-based subject that develops students in the knowledge, skills and behaviours required for a specific IT job role through a structured on-the-job training programme. It will allow students to perform skills identification and articulate critical work functions in the job role and their performance expectations. Students will work with the company supervisor to plan and execute an individual learning project, and they will monitor and reflect on their learning progress. Guided Work-based learning will broaden and/or deepen a student's knowledge and skills in a specific job role.	4
	CIT2C28	Guided Work-based Learning 2 This subject provides students the opportunity to recognise the critical core skills that are transferrable in both lateral movement or vertical progression in the specified IT job track defined in a recognised or national skills framework. It also allows students to compare the responsibilities, required skills and competencies between the various job roles within the organisation and/or industry.	4

Subject Code

Subjects

Credit Units

CIT2C27

Guided Work-based Learning 1

This is a competency-based subject that develops students in the knowledge, skills and behaviours required for a specific IT job role through a structured on-the-job training programme. It will allow students to perform skills identification and articulate critical work functions in the job role and their performance expectations. Students will work with the company supervisor to plan and execute an individual learning project, and they will monitor and reflect on their learning progress. Guided Work-based learning will broaden and/or deepen a student's knowledge and skills in a specific job role.

CIT2C28

Guided Work-based Learning 2

This subject provides students the opportunity to recognise the critical core skills that are transferrable in both lateral movement or vertical progression in the specified IT job track defined in a recognised or national skills framework. It also allows students to compare the responsibilities, required skills and competencies between the various job roles within the organisation and/or industry.

	Subject Code	Subject	Credit Units
	BSE2001	Business Development This subject is designed to equip students with the essential skills and knowledge to identify and seize business opportunities, build and maintain strategic partnerships, and foster sustainable growth. The subject covers key aspects such as opportunity identification, relationship management, communication skills, negotiation skills, and cultural competence. Through a combination of theoretical insights and practical applications, students will learn to navigate the complexities of business development in a dynamic and globalised market.	4
	BCE2001	Digital Marketing This subject aims to develop core competencies in digital communication, enabling students to craft compelling messages tailored for online audiences and platforms.	4

Subject Code

Subject

Credit Units

BSE2001

Business Development

This subject is designed to equip students with the essential skills and knowledge to identify and seize business opportunities, build and maintain strategic partnerships, and foster sustainable growth. The subject covers key aspects such as opportunity identification, relationship management, communication skills, negotiation skills, and cultural competence. Through a combination of theoretical insights and practical applications, students will learn to navigate the complexities of business development in a dynamic and globalised market.

BCE2001

Digital Marketing

This subject aims to develop core competencies in digital communication, enabling students to craft compelling messages tailored for online audiences and platforms.

	Subject Code	Subject	Credit Units
	CIF3C01	Algorithms and Programming This subject will be used to compute the time complexity of algorithms and compare algorithms using their Big-O time complexity. Besides coming up with the pseudocode of an algorithm to solve a given problem, students are expected to implement the pseudocode in Python for the project assignments. Common data structures such as stacks, queues, trees, graphs, heaps and hash maps will be covered. After students have gained a strong foundation in complexity and data structures, students will be introduced to heuristic approaches – specifically greedy and local search algorithms – that can be used to tackle computationally intractable problems.	4
	CIF3C02	Business Process Analysis and Solutioning In any organisation, a business process is a key asset which is a collection of related, structured activities or tasks that produce a specific service or product (serve a particular goal) for a particular customer or customers. The business objective of an organization is often to increase process speed or reduce cycle time; to increase quality; or to reduce costs, such as labour, materials, scrap, or capital costs. In other words, a management decision to invest in business process modeling is often motivated by the need to improve the efficiency and effectiveness of the processes that exist within and across organizations. This subject presents the concepts and methodologies required to execute a methodical approach to translate business process change requirements into clear IT solutions. The subject will cover business process modelling and analysis. The goal is to identify the gaps in the business workflow and recommend the solutions based on technology solutioning or restructuring the workflows for process optimization. The subject will ensure that the students can smoothly translate enterprise business objectives into an effective IT solution architecture. Business process innovation has become a growing interest of several sectors due to the exponential growth of new technologies such as social media, big data, analytics, machine learning, IoTs and artificial intelligence. Tanalyse and review the innovated the business processes by studying some industry cases of digital transformation.	4

Subject Code

Subject

Credit Units

CIF3C01

Algorithms and Programming

This subject will be used to compute the time complexity of algorithms and compare algorithms using their Big-O time complexity. Besides coming up with the pseudocode of an algorithm to solve a given problem, students are expected to implement the pseudocode in Python for the project assignments. Common data structures such as stacks, queues, trees, graphs, heaps and hash maps will be covered. After students have gained a strong foundation in complexity and data structures, students will be introduced to heuristic approaches – specifically greedy and local search algorithms – that can be used to tackle computationally intractable problems.

CIF3C02

Business Process Analysis and Solutioning

In any organisation, a business process is a key asset which is a collection of related, structured activities or tasks that produce a specific service or product (serve a particular goal) for a particular customer or customers. The business objective of an organization is often to increase process speed or reduce cycle time; to increase quality; or to reduce costs, such as labour, materials, scrap, or capital costs. In other words, a management decision to invest in business process modeling is often motivated by the need to improve the efficiency and effectiveness of the processes that exist within and across organizations. This subject presents the concepts and methodologies required to execute a methodical approach to translate business process change requirements into clear IT solutions. The subject will cover business process modelling and analysis. The goal is to identify the gaps in the business workflow and recommend the solutions based on technology solutioning or restructuring the workflows for process optimization. The subject will ensure that the students can smoothly translate enterprise business objectives into an effective IT solution architecture. Business process innovation has become a growing interest of several sectors due to the exponential growth of new technologies such as social media, big data, analytics, machine learning, IoTs and artificial intelligence. Tanalyse and review the innovated the business processes by studying some industry cases of digital transformation.

	Subject Code	Subject	Credit Units
	CIF3C03	Mathematical Foundations of Computing This subject serves as an introduction to the theory of discrete mathematics, which lays the foundation for computer science courses such as data structures, algorithms, relational database theory and cryptography. The topics covered in this course are mathematical logic, elementary number theory, recursion, set theory, functions, combinatorics and graphs.	4
	CIF3C04	Collaborative Software Development This subject exposes students to software construction, software design issues, agile processes and project management techniques. The focus is to allow students to experience agile software development and project management by working in a team to develop a Java based web application.	4

Subject Code

Subject

Credit Units

CIF3C03

Mathematical Foundations of Computing

This subject serves as an introduction to the theory of discrete mathematics, which lays the foundation for computer science courses such as data structures, algorithms, relational database theory and cryptography. The topics covered in this course are mathematical logic, elementary number theory, recursion, set theory, functions, combinatorics and graphs.

CIF3C04

Collaborative Software Development

This subject exposes students to software construction, software design issues, agile processes and project management techniques. The focus is to allow students to experience agile software development and project management by working in a team to develop a Java based web application.

	Subject Code	Subject	Credit Units
	CIF3C01	Algorithms and Programming This subject will be used to compute the time complexity of algorithms and compare algorithms using their Big-O time complexity. Besides coming up with the pseudocode of an algorithm to solve a given problem, students are expected to implement the pseudocode in Python for the project assignments. Common data structures such as stacks, queues, trees, graphs, heaps and hash maps will be covered. After students have gained a strong foundation in complexity and data structures, students will be introduced to heuristic approaches – specifically greedy and local search algorithms – that can be used to tackle computationally intractable problems.	4
	CIF3C05	Operating Systems and Networking This is a subject on operating systems (OS) and networking designed for students who will need this knowledge for subsequent courses. The networking lessons focus on TCP/IP, the concept of ports and sockets (in the context of network programming), the practical aspects of setting up a simple wired and wireless network and troubleshooting network problems. The OS lessons focus on basic OS theories, security in the context of operating systems(OS), and a working knowledge of Linux/Unix. Students are expected to be familiar with common command-line (terminal) commands, and be comfortable in using the command line interface to execute scripts and executables.	4

Subject Code

Subject

Credit Units

CIF3C01

Algorithms and Programming

CIF3C05

Operating Systems and Networking

This is a subject on operating systems (OS) and networking designed for students who will need this knowledge for subsequent courses. The networking lessons focus on TCP/IP, the concept of ports and sockets (in the context of network programming), the practical aspects of setting up a simple wired and wireless network and troubleshooting network problems. The OS lessons focus on basic OS theories, security in the context of operating systems(OS), and a working knowledge of Linux/Unix. Students are expected to be familiar with common command-line (terminal) commands, and be comfortable in using the command line interface to execute scripts and executables.

Subject Code	Subject	Credit Units
GTP1103	Effective Personal Leadership This subject examines self-management and self-leadership through an exploration of values and beliefs, necessary for adapting to the world of work. It covers topics such as self-management and awareness, values and ethics, interpersonal communication, teamwork, resilience and emotional intelligence for enhancing leadership capabilities. These can significantly influence careers, relationships, and overall well-being. This subject is a reflective exploration of ‘leadership from within’ to have a greater awareness for the development of attributes required in an effective values-centred leader for oneself and for others.	3
GTP1203	Career Readiness & Communication This subject equips students with career preparation skills through better understanding of their career interests, values, skills and aspirations. Topics covered include personal branding, job search strategies, resume and cover letter writing, and interview techniques. In addition, students will gain awareness of workplace communication to succeed in their careers and achieve professional goals.	3
GTP1303	Current Issues & Critical Thinking This subject provides a comprehensive introduction to critical thinking by engaging students with current local and global issues. Students will learn to analyse diverse perspectives and uncover underlying assumptions in opinions, evaluate the credibility and bias of information sources, and construct well-reasoned, evidence-based arguments using established critical-thinking frameworks. They will also assess the societal, ethical, and personal implications of contemporary problems, and develop the ability to communicate their conclusions clearly and persuasively, employing appropriate digital tools to support their ideas.	4
INV1001	Innovation & Entrepreneurship The subject is designed for learners from all disciplines to embrace innovation in either their specialised field or beyond. Learners will be taught to apply the Design Thinking framework to develop problem statements, ideate and identify feasible solutions. Learners will be exposed to several tools for prototyping. In addition, commercial awareness will be imbued in learners through various innovation and entrepreneurship concepts or tools. This subject also prepares students to be self-directed lifelong learners who are digital and information literate. It nurtures communicative and collaborative citizens who can use objective analysis in problem-solving.	2
LSW1002	Sports & Wellness This subject reinforces the fundamental knowledge learnt on health, fitness, exercise and sports. Hands-on time will be allocated for a greater variety of fitness exercises and sports skills in a recreational setting. In addition, theoretical knowledge such as sports safety and risk management when participating in physical activities will be introduced. Guidance will be provided for improvement of physical fitness, acquiring of sports skills and relating theoretical knowledge to the physical activities.	2
TGS1002	Global Studies This subject provides essential skills and knowledge to prepare students for an overseas experience. They will examine the elements of culture and learn the key principles of cross-cultural communication. In addition, they will gain an appreciation and awareness of the political, economic, technological and social landscape to function effectively in a global environment. The subject prepares students to be responsible global citizens and leaders who can contribute to the global community through effective communication and collaboration.	3
TGS1003	Sustainability & Climate Action This subject prepares students to be responsible global citizens and future leaders who can contribute to the global community. It introduces the topics of sustainability and explores how human societies can act to build a sustainable future. This subject focuses on the impact of climate change, potential solutions to climate change, and the future of the green economy from global and local perspectives.	3
CSI3004	Student Internship Programme This structured programme is designed to link your learning with the real work environment. You will be placed in organisation(s) with opportunities to apply the concepts and skills acquired in the course of your study. Besides reinforcing technical concepts and mastering of skills in areas that you have been trained, the practical training will enable you to build important skills such as problem-solving, communication, teamwork, and to cultivate good attitude and a strong work ethic.	16

Subject Code

Subject

Credit Units

GTP1103

Effective Personal Leadership

This subject examines self-management and self-leadership through an exploration of values and beliefs, necessary for adapting to the world of work. It covers topics such as self-management and awareness, values and ethics, interpersonal communication, teamwork, resilience and emotional intelligence for enhancing leadership capabilities. These can significantly influence careers, relationships, and overall well-being. This subject is a reflective exploration of ‘leadership from within’ to have a greater awareness for the development of attributes required in an effective values-centred leader for oneself and for others.

GTP1203

Career Readiness & Communication

This subject equips students with career preparation skills through better understanding of their career interests, values, skills and aspirations. Topics covered include personal branding, job search strategies, resume and cover letter writing, and interview techniques. In addition, students will gain awareness of workplace communication to succeed in their careers and achieve professional goals.

GTP1303

Current Issues & Critical Thinking

This subject provides a comprehensive introduction to critical thinking by engaging students with current local and global issues. Students will learn to analyse diverse perspectives and uncover underlying assumptions in opinions, evaluate the credibility and bias of information sources, and construct well-reasoned, evidence-based arguments using established critical-thinking frameworks. They will also assess the societal, ethical, and personal implications of contemporary problems, and develop the ability to communicate their conclusions clearly and persuasively, employing appropriate digital tools to support their ideas.

INV1001

Innovation & Entrepreneurship

The subject is designed for learners from all disciplines to embrace innovation in either their specialised field or beyond. Learners will be taught to apply the Design Thinking framework to develop problem statements, ideate and identify feasible solutions. Learners will be exposed to several tools for prototyping. In addition, commercial awareness will be imbued in learners through various innovation and entrepreneurship concepts or tools. This subject also prepares students to be self-directed lifelong learners who are digital and information literate. It nurtures communicative and collaborative citizens who can use objective analysis in problem-solving.

LSW1002

Sports & Wellness

This subject reinforces the fundamental knowledge learnt on health, fitness, exercise and sports. Hands-on time will be allocated for a greater variety of fitness exercises and sports skills in a recreational setting. In addition, theoretical knowledge such as sports safety and risk management when participating in physical activities will be introduced. Guidance will be provided for improvement of physical fitness, acquiring of sports skills and relating theoretical knowledge to the physical activities.

TGS1002

Global Studies

This subject provides essential skills and knowledge to prepare students for an overseas experience. They will examine the elements of culture and learn the key principles of cross-cultural communication. In addition, they will gain an appreciation and awareness of the political, economic, technological and social landscape to function effectively in a global environment. The subject prepares students to be responsible global citizens and leaders who can contribute to the global community through effective communication and collaboration.

TGS1003

Sustainability & Climate Action

This subject prepares students to be responsible global citizens and future leaders who can contribute to the global community. It introduces the topics of sustainability and explores how human societies can act to build a sustainable future. This subject focuses on the impact of climate change, potential solutions to climate change, and the future of the green economy from global and local perspectives.

CSI3004

Student Internship Programme

This structured programme is designed to link your learning with the real work environment. You will be placed in organisation(s) with opportunities to apply the concepts and skills acquired in the course of your study. Besides reinforcing technical concepts and mastering of skills in areas that you have been trained, the practical training will enable you to build important skills such as problem-solving, communication, teamwork, and to cultivate good attitude and a strong work ethic.

	Subject Code	Subject	Credit Units
	GTP1304	Beyond the Classroom: Guided Learning This subject empowers students to take charge of their personal learning in a chosen area of inquiry. Students will broaden or deepen their knowledge and skills, fostering a proactive approach to lifelong learning. Following a scaffolded process, students will design and execute a personalised learning plan that extends beyond traditional classroom walls. The journey culminates in a curated portfolio that highlights their achievements and growth.	3

Subject Code

Subject

Credit Units

GTP1304

Beyond the Classroom: Guided Learning

This subject empowers students to take charge of their personal learning in a chosen area of inquiry. Students will broaden or deepen their knowledge and skills, fostering a proactive approach to lifelong learning. Following a scaffolded process, students will design and execute a personalised learning plan that extends beyond traditional classroom walls. The journey culminates in a curated portfolio that highlights their achievements and growth.

PET Course Fee

Main

The table below shows the total subsidised fees (inclusive of GST) payable.

ADMITTED IN	SINGAPOREANS (Aged below 40 in the year 2024)	SINGAPORE PERMANENT RESIDENTS	INTERNATIONAL STUDENTS
2025	S$3,179.65	S$6,509.65	S$12,570.15
2024	S$3,068.75	S$6,298.75	S$12,159.25

WHEN DO I PAY?

There are 2 semesters in each Academic YEAR (AY). The billing periods for AY 2024/2025 are:
Semester 1: 21 April 2025 -19 October 2025
Semester 2: 21 October 2025 -19 April 2026

Fees are billed and payable by semester. They are usually payable in June for Semester 1 and December for Semester 2.

Payment Method

MORE DETAILS ON FEES AND FINANCE

View course fees for other intakes, subsidies, grants, bursary and awards at the Fees & Financial matters section.

View the list of scholarships available to A&F students.

Go to Fees & Financial Matters

Diploma in Applied Artificial Intelligence (T69)

Course Overview

Entry Requirements

Admissions Exercises

What You'll Learn

Diploma Subjects - Elective Cluster Subjects

Career Prospects

Course Fees

PET Course Fee

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Diploma in Applied Artificial Intelligence (T69)

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Course Overview

Entry Requirements

Admissions Exercises

What You'll Learn

Diploma Subjects - Core Subjects

Diploma Subjects - Core Subjects

Diploma Subjects - Core Subjects

Diploma Subjects - Elective Cluster Subjects

Applied AI for Industry

Software and Analytics for Sustainability

Industry Practice

Business Development and Marketing

SMU Pathway Programme (SMU/IS)

SMU Pathway Programme (SMU/CS)

SMU Pathway Programme (SMU/SE)

TP Fundamentals (TPFun) Core Subjects

TP Fundamentals (TPFun) Elective Subject

Career Prospects

Course Fees

PET Course Fee

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