/IIT-t60-banner.webp)
Diploma in Big Data & Analytics (T60)
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
To be eligible for consideration for admission, applicants must obtain 26 points or better for the net ELR2B2 aggregate score (i.e. English Language, 2 relevant subjects and best 2 other subjects, including CCA Bonus Points) and meet the minimum entry requirements of this course. CCA cannot be used to meet the minimum entry requirements.
Subject
Grade
English Language (EL1)
1-7
Mathematics (E or A)
1-6
Any one of the subjects 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)
1-6
2026 Planned Intake
50
Net ELR2B2 aggregate range (2026 JAE)
4 - 14
Note: Applicants with complete colour vision deficiency are not eligible to apply for this course.
Early Admissions Exercise (EAE)
Joint Admissions Exercise (JAE)
Joint Polytechnic Admissions Exercise (JPAE)
Direct Admissions Exercise (DAE)
- 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
This subject covers logic, functions, sequence & recursion, graphs and probability. It also covers mathematical processes for developing algorithms in computing and other real-life applications. The topics include coverage of 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 the fundamentals of deep learning algorithms. It covers a range of deep learning algorithms and neural networks, including basic neural network and convolutional neural network that can be applied to fields including computer vision and natural language processing. |
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 |
| 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 examines how digital technology has transformed marketing, from core concepts to consumer behaviour. It explores digital and social media tactics for engaging customers and highlights the importance of measuring the effectiveness of digital marketing strategies. |
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. |
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 | ||
|---|---|---|---|---|
| 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 | ||
|---|---|---|---|---|
| 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 |
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
/picture1.webp)
"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
/picture2.webp)
"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
/Picture3.webp)
"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
/IIT-t69-tn.webp)
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
