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Course Overview

Think Netflix, Amazon, Instagram – how do these companies always seem to know what you like or want, even before you do?


Therein lies the power of Big Data, which is taking the business of data-driven decision making to great heights! These organisations use analytics to help make sense of large volumes of data that captures customer preferences and habits.


Through this course, you will learn to work with data using analytics tools to provide insights to understand and improve businesses, products and services. In addition, equip yourself with real-world experience through internships, mentorships and project collaborations with our industry partners.


With Singapore’s rising prominence as an international data and analytics hub, you are in prime position to land yourself a rewarding career in this field. Look forward to exciting job opportunities as you will also graduate with industry-recognised certifications that will give you the edge over others in this field!


Get the opportunity to attain the certifications(s) below through your course of study:

  • AWS Cloud Practitioner
  • DataCamp Certified Data Analyst
  • ICDL Data Analytics Certification
  • KNIME Certification
  • SAS Certificate in Applied Data Analytics


AWS Cloud Practitioner Certification

Many companies are now placing their information on the cloud, as well as creating applications and services on the cloud. Due to cloud computing, we are seeing a big shift from the traditional way businesses think about IT resources. Cloud Computing professionals are in high demand in the IT industry. The AWS Certified Cloud Practitioner offers a foundational understanding of AWS Cloud concepts, services, and terminology.


The School of Informatics & IT curriculum prepares students to acquire the AWS certified cloud practitioner qualification. Industry-recognised certificates give students and prospective employers an added confidence about the cloud proficiency of graduates.


Supported by:




Entry Requirements


English Language (EL1)*


Mathematics (E or A)


Any one of the subject in the 2nd group of relevant subjects for ELR2B2-C Aggregate Type

  • Biology
  • Biotechnology
  • Chemistry
  • Computing / Computer Studies
  • Creative 3D Animation
  • Design & Technology
  • Food & Nutrition/ Nutrition & Food Science
  • Electronics / Fundamentals of Electronics
  • Exercise & Sports Science
  • Physics
  • Science (Chemistry, Biology)
  • Science (Physics, Biology)
  • Science (Physics, Chemistry)
2024 Planned Intake
Net ELR2B2 aggregate range (2024 JAE)
5 - 12

* Sijil Pelajaran Malaysia (SPM)/ Unified Examination Chinese (UEC) holders must have a minimum of grade 6 for the relevant English Language subject (e.g. Bahasa Inggeris).

Note: Applicants with complete colour vision deficiency are not eligible to apply for this course.

Admissions Exercises

What You'll Learn

Strong Foundation Skills
Learn to develop your own mobile and web applications with the coding and user interface skills you acquire. Also, learn the fundamentals of networking, and discover how to create your own analytics dashboard.

Subject Code Subject Credit Units
CIT1C21 Application Development Project

This subject will introduce the skills required to develop a web application using the latest technologies. Project design, development and deployment will also be covered.

CIT1C18 Computational Thinking

This subject introduces students to the fundamentals of computational thinking and their application in developing programming solutions for problems. Topics covered include programming concepts, simple data structures and programming techniques.

CCF1C03 Cybersecurity Fundamentals

This subject will introduce the principles of cybersecurity and their application in real world scenarios. It also covers what is required to protect and defend digital systems and applications in cyber space. Common types of cyber risks, threats and attacks, as well as the applicable controls will also 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 students to the fundamentals of recursion and data structures in solving problems using a programming language. Topics covered include stacks, queues, linked lists and trees. Searching techniques and sorting algorithms will also be covered.

CIA1C07 Logic and Mathematics

This subject covers logic, sets, functions, 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 the theoretical and practical aspects of network and cloud technology. Topics covered include how data is transmitted within an organisation and via the internet, as well as cloud computing technologies, its benefits, organisation, cloud usage, and risks.

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 interfaces, need findings, sketching and prototyping for interactive experiences, and usability testing.


Provide Business Insights
You will learn how to manage Big Data, such as those that Facebook and Google collect and store. This critical skill will be useful for you in your future careers to analyse how a business or an organisation is doing, and advise them on smarter business decisions.

Subject Code Subject Credit Units
CDA2C02 Data Mining and Business Analytics

This subject introduces the fundamental concepts of machine learning. Topics covered include supervised and unsupervised learning and classification.

CIA2C14 Data Science Essentials

This subject equips students with knowledge and skills in the emerging field of data science. It covers the data science life-cycle, history and context, as well as its landscape. Topics covered include data exploration and analysis techniques to discover new knowledge from data to aid data-driven decisions in an intelligent and informed way.

CDA2C04 Data Storytelling

This subject covers graphing fundamentals, graphing properties and building dashboards for reporting purposes using relevant statistical modelling and analysis techniques. The subject also introduces the knowledge and skills to apply the data storytelling framework and principles of data visualisation to enable business users to communicate and narrate findings relevant to business contexts.

CDA2C01 Data Warehousing and Business Intelligence

This subject covers the fundamental concepts and techniques of setting up the data warehouse, its model design and implementation, and how data warehousing enables business intelligence capabilities and effective decision making across many industries. It also covers Business Intelligence (BI) concepts and the techniques of integrating data into useful information, and implementing BI applications to help companies manage their business performance.

CDA2C06 Data Engineering in the Cloud

This subject covers the data engineering technologies to build a scalable data pipeline on the cloud to meet business requirements. It includes topics such as data ingestion, data transformation, data processing, data storage, data governance and protection.

CDA2C05 Machine Learning for Decision Making

This subject covers the techniques for data driven decision making through a hands-on approach. It includes topics such as the framing of the business problem into a machine learning problem, feature engineering, machine learning model building, model results explanation and application.

CIA2C12 Quantitative Analysis

The subject covers linear regression, correlation between a dependent variable and independent variable, analysis of variance, chi-squared tests, two-way analysis of variance (ANOVA) and multivariate analysis.

CIA2E01 Text & Social Media Analytics

This subject equips you with the knowledge and skills to process textual data and social media for analytical insight. It covers topics such as social media analytics concepts and techniques, text analytics process and techniques such as information extraction, text categorisation, cluster analysis and sentiment analysis.


Sparking Transformation
Discover how to ‘mine’ Big Data for better business insights. Also, undertake more significant and complex projects that equip you with real-world work experience. You can also look forward to meaningful internships in either a local company or an overseas organisation.

Subject Code Subject Credit Units
CMP3104 Major Project

This subject involves the integration and application of knowledge and skills developed from the various subjects in the curriculum to one or more projects. This subject provides students an opportunity to develop a practical understanding of the products, methodologies, processes, systems, project management and presentation skills needed for big data and analytics application projects.

Diploma Subjects - Elective Cluster Subjects

Subject Code Subject Credit Units
CAI2C03 Deep Learning and Object Recognition

This subject introduces students to the fundamental principles of deep learning and how it is applied to a collection of computer vision tasks to implement object recognition. It covers the concepts and architecture of convolutional neural networks such as the various layers within, and the hyperparameters involved, using available tools and libraries.

CDA2C07 Recommendation Systems

This subject introduces the concepts, applications, and algorithms for building recommendation systems. Going beyond explanations and predictions, recommendation systems deliver hyper-personalised experiences to individuals through tailored suggestions for products, services and content. This subject will cover both traditional as well as advanced techniques for building recommendation systems with the use of graph analytics. It will also introduce common metrics used for evaluating recommendation systems.


Subject Code Subject Credit Units
BLO2010 Distribution Centre Management

This subject provides an overview of the role of a Distribution Centre (DC) in the supply chain. It also covers the various activities performed within a DC and the significance of these activities on customer service and total logistics costs. It focuses on the major resources to be applied in a DC and explains how they interact with one another in contributing to the DC’s effectiveness and efficiency. It will also cover the significance of providing DC services to the Third-Party Logistics industry.

ECC2014 Industrial IoT Analytics

This subject covers the essential concepts and skills needed for implementing digital transformation in smart manufacturing plants. It covers the application of industrial software platforms to wirelessly interconnect sensors, Internet of Things (IoT) devices and equipment. Students will learn to develop dashboard for acquiring, analysing and displaying data that is commonly found in Advanced Manufacturing. Modern approaches in activation of hardware and software responses when interventions are required for process improvement or corrective actions are also covered in detail.


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

The subject introduces the principles of sustainability and how   data analytics can 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.

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.


You will also take this set of subjects that equips you with the crucial 21st-Century life skills you need to navigate the modern world as an agile, forward-thinking individual and team player.

Subject Code Subject Credit Units
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.

CTX1001 Effective Communication

This subject introduces the fundamentals of effective communication. It also covers how to communicate with and convince an audience through writing and speaking tasks. The skills in this subject will include the application of strategies for communication, appropriate vocabulary, language features, visual aids, tone and style. The Message, Audience, Purpose and Strategy (MAPS) framework will also be applied when planning and engaging in written and verbal communication.​ There will be opportunities to communicate and collaborate through active learning activities, apply digital and information literacy skills and build competence through self-directed learning.

CTX1002 Professional Communication

This subject covers professional communication skills for the workplace and employability skills in the areas of career preparation. It covers communication and interpersonal skills, including effective virtual communication etiquette, and conducting oneself professionally in the workplace. In addition, essential career preparation skills such as resume writing and interview skills, needed to seek and secure work would be included. The Message, Audience, Purpose and Strategy (MAPS) framework would also be applied when engaging in written and verbal communication. There will be opportunities to communicate and collaborate through active learning activities, apply digital and information literacy skills and build competence through self-directed learning.

GTP1301 Current Issues & Critical Thinking

This subject covers current issues, including diverse local and global concerns, that will impact lives and may have critical implications for Singapore. There will be opportunities to build competence through self-directed learning, communicate and collaborate in active discussions and objectively analyse issues using digital and information literacy skills and critical thinking scaffolds.

GTP1201 Career Readiness

This subject focuses on personal management skills. It develops an understanding of one’s career interests, values, personality and skills for career success. It covers the necessary knowledge, skills and attitudes needed to succeed in the workplace and achieve professional goals. There will be exposure to apply digital and information literacy skills, build competence through self-directed learning methods, and acquire the skills of being a lifelong learner.

GTP1202 Career Management

This subject focuses on career management skills. It covers the importance of workplace readiness skills to adapt and respond to the changing job market environment. Career ownership and continuous learning for lifelong employability will be emphasised. There will be exposure to apply digital and information literacy skills, build competence through self-directed learning, and acquire the skills of being a lifelong learner.

CGS1002 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.

GTP1302 Guided Learning*

The subject introduces students to the concepts and process of self-directed learning in a chosen area of inquiry. The process focusses on four stages: planning, performing, monitoring and reflecting. Students get to plan their individual learning project, refine and execute the learning plan, as well as monitor and reflect on their learning progress and project. The learning will be captured and showcased through a curated portfolio. The self-directed learning project will broaden and/or deepen a student’s knowledge and skills. Students will enhance their problem solving and digital literacy skills through this subject.

CIN1001 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.

GTP1101 Leadership Fundamentals

This subject focuses on self-leadership based on the values of integrity, respect, and responsibility. Increasing awareness of self and others will lay the foundations for personal and relationship effectiveness. Consequential thinking, clear articulation of personal values and visions, emphatic listening, and collaboration in serving others are some of the essential skills covered in this leadership journey. There will be opportunities to build and to apply the concepts of being a values-centred leader.

GTP1102 Leadership in Action

This subject focuses on Service Learning as an experiential platform to apply the tenets of Self and Team Leadership. Service Learning will be the capstone project for this subject, which will require an analysis of the diverse needs of the community, collaboration with community partners and demonstration of learning, including key elements of empathy. There will be opportunities to build and to apply the concepts of being a values-centred leader.

LSW1002 Sports & Wellness

This subject reinforces the fundamental knowledge learnt on health, fitness, exercise and sports. Hands-in time will be allocated for a greater variety of fitness exercises and sports skills in a recreation 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.

TGS1001 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.


* Students must choose to take either Sustainability & Climate Action or Guided Learning.

Graduation Requirements
Cumulative Grade Point Average
min 1.0
TP Fundamental Subjects
40 credit units
Diploma Subjects - Core Subjects
74 credit units
Diploma Subjects - Elective Subjects
min 8 credit units
Total Credit Units Completed
min 122 credit units

Career Prospects

As a graduate of this course, you could take up positions like:

Course Review

Course Fees

PET Course Fee


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

(Age below 40 in the year 2021) 



There are 2 semesters in each Academic YEAR (AY). The billing periods for AY 2024/2025 are:
Semester 1:  15 April 2024 – 13 October 2024 
Semester 2:  14 October 2024 – 13 April 2025

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


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

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