Diploma in Big Data & Analytics (T60)

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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
ICDL Data Analytics Certification
KNIME Certification

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:

COMPETITIVE EDGE
All students will graduate with a Diploma in Big Data & Analytics and a SAS professional certification which provides them with a competitive edge when seeking data analyst jobs.

INTERNSHIPS WITH INDUSTRY LEADERS
Excited to work with the likes of Shopee, eBay, Starbucks, United Overseas Bank, GovTech, CapitaLand and many more? This course offers you just that! Learn from the best as you pursue internship opportunities and gain an invaluable once in a lifetime opportunity.

PRACTICE-ORIENTED LEARNING
Get excellent hands-on experience at the Analytics Innovation Centre set up in collaboration with SAS, which is a leading multi-national company that is renowned for analytics technologies. Here, you will be trained in comprehensive business intelligence and analytics skills in a data-rich environment to give you a distinctive edge when you graduate.

Entry Requirements

Subject

Grade

English Language (EL1)*

1-7

Mathematics (E or A)

1-6

Any one of the subject in the 2^nd 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)

1-6

2025 Planned Intake

Net ELR2B2 aggregate range (2025 JAE)

8 - 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

Early Admissions Exercise (EAE)

Joint Admissions Exercise (JAE)

Joint Polytechnic Admissions Exercise (JPAE)

ITE Graduates

Direct Admissions Exercise (DAE)

What You'll Learn

Year 1
Year 2
Year 3
TPFUN

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 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

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 covers data exploration and transformation techniques to prepare data, data mining techniques (such as cluster analysis and association analysis) to extract previously unknown patterns and relationships from data, predictive modelling techniques (such as regression, decision tree and neural network) to predict future trends and behaviours, and to use of the insights gained to drive decision making for businesses.	4
CIA2C14	Data Science Essentials This subject 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.	4
CDA2C04	Data Storytelling This subject introduces the knowledge and skills required to apply the data storytelling framework and principles of data visualisation to enable business users to communicate and narrate findings relevant to business contexts. It also covers graphing fundamentals, graphing properties and knowledge of how to build dashboards for reporting purposes using relevant statistical modelling and analysis techniques.	4
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.	4
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.	4
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.	4
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.	4
CIA2E01	Text & Social Media Analytics This subject covers topics such as social media analytics concepts and techniques, text analytics process and techniques such as information extraction, text categorization, cluster analysis and sentiment analysis.	4

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.	10

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.	4
	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.	4

	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.	4
	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.	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.	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
	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

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
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
	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

Graduation Requirements

Cumulative Grade Point Average

min 1.0

TP Fundamental Subjects

min 36 credit units

Diploma Subjects - Core Subjects

74 credit units

Diploma Subjects - Elective Subjects

min 8 credit units

Total Credit Units Completed

min 118 credit units

Career Prospects

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

Associate Business Analyst
Business Intelligence Analyst

Data Analyst
Data Engineer

Database Administrator
Machine Learning Engineer

Course Review

"In today’s data-driven world, the ability to interpret and utilize data is a powerful skill across all industries. I chose to study Big Data & Analytics because it offers the opportunity to uncover insights, solve complex problems, and influence decision-making through data."

Alisa Goh
Senior Student 2024
Intern with OCBC under the OCBC Ignite Programme
Tableau Academic Ambassador 2024

Temasek Polytechnic alumnus Mohamed Azfar

"My journey has been transformative, equipping me with valuable skills in data analysis and empowering me to make informed decisions in today’s data-driven world. I am honoured to have been selected as a Tableau Academic Ambassador, which has allowed me to share my passion for Tableau’s powerful tools while fostering a community of data-literate students worldwide. This diploma laid the foundation for my growth, and I am excited to continue inspiring others in this dynamic field."

Mohamed Azfar
Graduate of 2024
Recipient of Accenture Project Prize
Recipient of Anugerah Mendaki 2024
Tableau Academic Ambassador 2023 & 2024

"I chose the Diploma in Big Data & Analytics because I wanted to gain deeper insights into the power of data and how it can drive impactful decisions across various industries. This program has equipped me with essential analytical skills and a solid foundation in data-driven problem-solving, both of which are crucial in today’s data-centric world. I’m excited to continue building on these skills and applying them to make a positive impact in my future career."

Che RuiYang, Thaddeus
Graduate of 2023
Recipient of Course Silver Medal
Recipient of DSTA Scholarship
Commencing further studies in Computer Science at NUS after national service

Course Fees

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.

Click here to see the scholarships offered to A&F students

Go to Fees & Financial Matters

Contact

iit@tp.edu.sg
Website: https://www.tp.edu.sg/iit
School of Informatics & IT
Temasek Polytechnic
East Wing Block 1-4
21 Tampines Ave 1
Singapore 529757

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