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Course Overview

Course is applicable only for AY2018 intake and earlier
 

Big Data is a BIG DEAL! Have you ever wondered how much information there is about you in cyberspace and in various computer systems? Do you know you are generating information all the time when you use Facebook, buy something on eBay, post comments on a blog, buy a movie ticket? Information is power. If you are someone with a curious mind who wants to be in control of information, then this course is for you.

To join this course, you should have a strong interest in Mathematics, possess an enquiring mind and have a desire to take charge of vast amounts of information for organisations.

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 two other subjects

1-6

To be eligible for selection, applicants must also have sat for one of the following subjects: Additional Combined Science, Additional Science, Biology, Biotechnology, Chemistry, Combined Science, Computer Studies, Creative 3-D Animation, Design & Technology, Engineering Science, Food & Nutrition,Fundamentals of Electronics, General Science, Human & Social Biology, Integrated Science, Physics, Physical Science, Science (Chemistry, Biology), Science (Physics, Biology), Science (Physics, Chemistry), Science (Physics, Chemistry, Biology).

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

See also the minimum entry requirements for:

What You'll Learn

In Year 1, you will learn the core computing subjects ranging from computational thinking and user experience to data analytics and IT security. This provides students with strong foundation skills in IT and broad-based skills in big data management and analytics. This will enable our graduates to meet the demand for BIG professionals in a wide range of industries.

Subject Code Subject Credit Units
BCS1011 Communication & Information Literacy

In this subject, you will learn how to conduct research for relevant information and validate information sources. You will also learn to recognise and avoid plagiarism, and follow standard citation and referencing guidelines when presenting information. In the course of learning, you will be required to plan, prepare and present information appropriately in written and oral form. You will also be taught to consider the Message, Audience, Purpose and Strategy (MAPS) when writing and delivering oral presentations.

2
BCS1012 Workplace Communication

In this subject, you will be taught how to conduct effective meetings while applying team communication strategies and the skills for documenting meeting notes. You will be required to write clear emails, using the appropriate format, language, tone and style for an audience. You will also be taught to communicate appropriately in and for an organisation when using various platforms. In all aspects, the principles of applying Message, Audience, Purpose and Strategy (MAPS) will be covered.

2
BCS1013 Persuasive Communication

In this subject, you will be taught how to use persuasive language in written documents. You will be required to use information to your advantage to verbally communicate and convince an audience about your idea, product or service. Skills such as persuasive vocabulary, language features, graphical illustrations, tone and style would also be covered. The Message, Audience, Purpose and Strategy (MAPS) will also be applied when engaging in verbal and written communication.

2
GCC1001 Current Issues & Critical Thinking

This subject presents you with a panoramic view of current local and global issues, which may have long term implications for Singapore. You will learn to apply critical thinking tools to examine current issues, support your views with relevant research and up-to-date data, articulate an informed opinion and mature as civic-minded individuals.

2
BIN1001 Innovation & Entrepreneurship

The Innovation & Entrepreneurship subject is designed for learners from all disciplines to embrace innovation in either their specialised fields or beyond. You will first learn the Design Thinking framework, where you will develop problem statements and ideate solutions. Next, you will discover the tools for prototyping and innovation, such as 3D printing and laser cutting, at TP’s Makerspace+ facility. Finally, you will acquire commercial awareness through the LEAN Startup framework of idea crystallisation, prototype building, customer testing and validation, refinement of business model canvas, and crowdfunding or crowdsourcing avenues.   

2
LEA1011 Leadership: Essential Attributes & Practice 1

LEAP 1, 2 and 3 are three fundamental subjects that seek to cultivate in you, the attitude, skills and knowledge for the development of your leadership competencies. This character-based leadership programme enables you to develop your life-skills through establishing personal core values, which will become the foundation for your leadership credibility and influence.

1
LEA1012 Leadership: Essential Attributes & Practice 2

LEAP 1, 2 and 3 are three fundamental subjects that seek to cultivate in you, the attitude, skills and knowledge for the development of your leadership competencies. This character-based leadership programme enables you to develop your life-skills through establishing personal core values, which will become the foundation for your leadership credibility and influence.

1
LEA1013 Leadership: Essential Attributes & Practice 3

LEAP 1, 2 and 3 are three fundamental subjects that seek to cultivate in you, the attitude, skills and knowledge for the development of your leadership competencies. This character-based leadership programme enables you to develop your life-skills through establishing personal core values, which will become the foundation for your leadership credibility and influence.

1
LSW1002 Sports & Wellness

This subject will help you develop both the physical and technical skills in your chosen sports or fitness activities. Through a structured curriculum that facilitates group participation, practice sessions and mini competitions, you will learn to build lifelong skills such as resilience, leadership, communication and teamwork. Physical activity sessions will be supplemented by health-related topics to provide you with a holistic approach to healthy living.

2
MCR1001 Career Readiness 1

This Career Readiness programme comprises three core subjects - Personal Management, Career Preparation and Career Management. It seeks to help you understand your career interests, values, personality and skills for career success. It also equips you with the necessary skills for seeking and securing jobs, and to develop professional work ethics.

1
MCR1002 Career Readiness 2

This Career Readiness programme comprises three core subjects – Personal Management, Career Preparation and Career Management. It seeks to help you understand your career interests, values, personality and skills for career success. It also equips you with the necessary skills for seeking and securing jobs, and to develop professional work ethics.

1
MCR1003 Career Readiness 3

This Career Readiness programme comprises three core subjects – Personal Management, Career Preparation and Career Management. It seeks to help you understand your career interests, values, personality and skills for career success. It also equips you with the necessary skills for seeking and securing jobs, and to develop professional work ethics.

1
BGS1002 Global Studies

This subject provides essential skills and knowledge to prepare you for an overseas experience. You will examine the elements of culture and learn the key principles of cross-cultural communication. In addition, you will gain an appreciation and awareness of the political, economic, technological and social landscape to function effectively in a global environment.

3
BGS1003 Managing Diversity at Work*

This subject explores the concepts of identity, diversity and inclusion at the workplace. It examines the relationship between identity and diversity, the benefits and challenges of diversity and the strategies that promote inclusion and inspire collaboration in a diverse workplace. Examples of the elements of diversity covered in this subject include nationality, generation, ethnicity and gender. A one week residential stay is mandatory for this subject.

3
BGS1004 Global Citizenship & Community Development*

Students will examine the meaning and responsibilities of being a Global Citizen, in order to contribute towards a more equitable and sustainable world.  In addition, students will learn how sustainable solutions can support community development, and, execute and critique a community action plan that addresses the needs of a specific community/cause.

3
BGS1005 Expressions of Culture*

This subject provides a platform for an understanding of culture and heritage through modes of expression. Students will be introduced to global and local cultures via everyday objects, places and human behaviour seen through time and space. Students will explore issues and challenges in culture and heritage sustainability in community, national and global contexts.

3
TGL1001 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.

3

* Students must choose to take either one of these three subjects OR Guided Learning (TFS1006).

Subject Code Subject Credit Units
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.

3
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 deisgning interfaces, need findings, sketching and prototyping for interactive experiences, and usability testing.

3
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
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.

4
CMC1C08 Network Technology

This subject covers the theoretical and practical aspects of networking and its related technologies. Topics covered include network protocols and communications, Ethernet networks, TCP/IP networking model, IP addressing, virtual local area networks (VLANs), routing and switching concepts and static and dynamic routing.

4
CCF1C02 IT Systems Security Essentials

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

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
CIT1C20 Coding and Development Project

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

4
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.

4

In your second year, you will learn how to manage Big Data, such as those that Facebook and Google collect and store. You will also learn to ensure the high level of quality of the data you extract, and how to manage its data privacy. The quality of your data determines the quality of your insights. Big Data Management and Governance focus on the management of data at scale so that the data can be easily accessed and consumed in spite of its volume, variety or velocity.

Subject Code Subject Credit Units
CIA2C01 Data Warehouse Modelling

This subject equips you with the knowledge and skills on data modelling techniques for data warehousing. On completion of this subject, you would be able to design and implement a data warehouse model. The subject introduces the fundamental concepts of data warehouse modelling and covers concepts and principles of data warehouse, introduction to data warehouse model design, data warehouse model implementation and data warehouse applications and tools.

4
CDA2C02 Data Mining and Business Analytics

The 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 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.

4
CIG2C01 Big Data Architecture & Systems

This subject equips you with the knowledge and skills to design a big data system in an organisation, as well as to store and apply structured and unstructured data in the context of big data integration. This subject introduces the emerging data architectures driven by “Big Data” adoption and will cover new paradigms of data systems within the realm of “Big Data,” which evolved from social media networks. It will also cover the concepts and techniques that have driven Big Data adoption and a comparison of these with traditional data store architectures such as structured databases and data warehouses. Emerging data architectures such as real-time and complex event processing tools will also be covered.

4
CIG2C02 Programming for Big Data

This subject equips you with the knowledge and skills to program a data management application to manage big data. It covers commonly used scripting languages (such as Python) and how it can be used for big data collection and processing. The use of data analysis, web scraping and data structures in the context of big data will be covered. Other languages for data integration and processing (such as R) will be covered as well.

4
CIG2C04 Data Marshalling & Transformation

This subject equips you with the knowledge and skills of data mining and to perform data marshalling and transformation. Students will be able to gather and transform data into standardised format for network transmission and storage. This subject also covers the fundamental concepts of data mining, data marshalling and data transformation techniques. Conversion of data objects into data streams and standard industry data formats with the use of techniques and tools will be introduced. Implementation of data marshalling and transformation in big data systems will also be covered.

4
CIG2C06 Data Security and Governance

This subject covers data security and governance as a quality control discipline for assessing, managing, using, improving, monitoring, maintaining, and protecting organisational information. The subject will cover concepts and impart skills in topics such as data security and access, data protection, data policies, business process management, and risk management surrounding the handling of data in an organisation.

4

By your third year, you would have learnt how to ‘mine’ Big Data. Throughout the course, students will be constantly exposed to projects that will equip them with real-world working experience. This will provide them with the important added business domain knowledge that big data professionals should have, to make sense of the data and build solutions that give organisations growth opportunities.

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.

16

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, methodlogies, 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
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.

4
CIA3E01 Applied Data Science in a Business Domain

This subject introduces how data science is used in the various industries (e.g. Financial Services / Retail / Logistics) to develop actionable insighrs for better decision making to improve businesses. It provides opportunities for students to integrate and apply their skills acquired through the various modules for this end-to-end implementation in specific business domain. Project management and agile methodologies will also be introduced in this subject.

4
CIT3C15 Machine Learning for Developers

This subject covers the fundamentals of machine learning principles and practices. Supervised and unsupervised learning, neural networks and deep learning will also be covered.

4

Graduation Requirements
Cumulative Grade Point Average
min 1.0
TP Fundamental Subjects
40 credit units
Diploma Subjects - Core Subjects
72 credit units
Diploma Subjects - Elective Subjects
min 8 credit units
Total Credit Units Completed
min 120 credit units

Careers Prospects

Graduates can expect good career prospects with local and multinational businesses, government agencies, financial and banking institutions and consulting firms as Data Analyst,  Associate Data Engineer, Associate Business Analysts, Business Intelligence Specialist and Data Mining Specialists.

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