Specialist Diploma in Business & Big Data Analytics

About the Course

Driven by the need to better connect with citizens and customers and the emergence of Big Data, governments and enterprises are embarking on Business Analytics and Big Data Analytics to derive citizen and customer insights, make fact-based decisions and achieve competitive advantages.

Robust demand for analytics spells significant opportunities for Singapore's economy. Singapore needs to develop a new breed of professionals who are techno-strategists – those who have both domain knowledge and IT capabilities to define and solve complex problems in businesses.

The Specialist Diploma in Business & Big Data Analytics, jointly offered by School of Information Technology and School of Engineering, is targeted at Business Intelligence (BI) practitioners and IT professionals who wish to

Upgrade their analytical skills from simple BI reporting to more advanced data analytics techniques;
Learn how analytics are applied across industries and business domains; and
Develop competence in implementing infrastructure to support big data.

This course provides participants with an opportunity to obtain a Specialist Diploma in the areas of business analytics and big data analytics. The knowledge and skillsets gained from this course will prepare graduates for a career as a data analytics practitioner across a wide spectrum of industries.

Check out the news coverage on this course:

Channel NewsAsia: NYP to offer Specialist Diploma in business and big data analytics

What You'll Study

Post-Diploma Certificate in Business Analytics

The PDC in Business Analytics aims to equip course participants with the necessary business analytics skills in preparing data for analysis, applying predictive and descriptive models, and presenting analysis results using data visualisation tools.

Business Analytics Essentials (30 hours)

This module provides an overview of business analytics and covers data management aspects such as data lifecycle, governance, security, privacy and preparation. The participants will learn how to use data preparation techniques such as extracting, cleansing and integrating to pre-process data prior to analysis.

Statistics and Analytics Techniques (30 hours)

This module acquaints course participants with the fundamentals of statistics and common descriptive and predictive models in applied scenarios. Emphasis is placed on teaching participants the applications of these techniques in industries and interpretation of results.

Data Visualisation (30 hours)

This module covers the essential design principles and good design practices for visualisation. It also covers the human visual system processes, data visualisation approaches for various data types to improve comprehension, communication and decision making.

Business Analytics Project (60 hours)

This module provides course participants with industry scenarios on how analytical techniques are applied. Through a project setting, participants get to analyse and derive insights to address real-world business challenges, on top of learning best practices and project methodologies for implementing business analytics projects.

Post-Diploma Certificate in Big Data Analytics

The PDC in Big Data Analytics aims to train course participants in the analysis and advanced analytics of big data. It focuses on the application of methodologies and techniques for big data analytics.

Big Data Analytics Essentials (30 hours)

This module introduces big data concepts, explains the importance of data mash-ups for big data and how big data analytics can be used to solve business problems in the real world. This module also covers a basis of the Infrastructure used for storing, processing and analysing big data. Participants will also learn how to collect data from the web using web scraping tool.

Machine Learning Techniques (30 hours)

This module acquaints course participants with analytics scenarios for different industries and focuses on the application of supervised and unsupervised learning techniques suited for large and complex datasets. It also covers methods to evaluate and improve machine learning models.

Text Mining and Analytics (30 hours)

This module covers the concepts and principles of text mining. Participants will learn the various techniques for analysing text to extract useful insights and patterns to support decision making. They will also learn about text classification, detection of topics in documents, and methods to group them into similar topics.

Big Data Analytics Project (60 hours)

This module provides a project setting for course participants to apply their knowledge and skills to analyse and visualise large data sets given to them to reveal relationships and dependencies and to perform predictions of outcomes and behaviours.

Post-Diploma Certificate in Big Data Management

The PDC in Big Data Management delivers the concepts and techniques in design and implementation of big data architecture, as well as parallel processing for big data. It focuses on equipping the participants with essential know-how, best practices and key considerations in the design, implementation and debugging of workflows for big data.

Big Data Management Essentials (30 hours)

This module covers big data architecture and the management of big data. Topics include data formats, real-time, batch and machine learning processing, fault-tolerance, scalability, and security. Participants will understand the process of data extraction, transformation and loading (ETL) and be familiarized with technologies such as HDFS, Spark, Map-Reduce, Hive and relational database management system for processing of big data.

Infrastructure System for Big Data Processing (30 hours)

This module equips participants with the knowledge and skillsets to design, implement, operate and maintain a Hadoop cluster for scalability and performance. Participants will also be familiarized with the use of machine learning modelling tools such as Spark and R for visualization and data analytics in Hadoop.

Parallel Computing for Big Data (30 hours)

This module equips participants with the knowledge and skills to develop scalable parallel applications using frameworks such as Hadoop MapReduce, Storm and Spark. Participants will learn to analyse, design and develop applications using Hadoop MapReduce, Pig Latin, Storm, Spark and Spark Machine Learning.

Big Data Management Project (60 hours)

This module provides a project setting for course participants to undertake a real-world Big Data project from conception to completion. Participants will learn to select an appropriate infrastructure system to deploy and apply various processing techniques to analyse the big data in parallel. In the process, participants need to take into consideration the key issues during planning and best practices during implementation.

Subject to changes

Certification

Participants who complete the Post-Diploma Certificate in Big Data Analytics and uses SAS in their Big Data Analytics Project will be awarded with a SAS Academic Joint Certificate: Applied Analytics in Data Science.

Participants will be awarded the Specialist Diploma in Business & Big Data Analytics upon successful completion of any two of the following Post-Diploma Certificates:

Post-Diploma Certificate in Business Analytics

Business Analytics Essentials
Statistics and Analytics Techniques
Data Visualisation
Business Analytics Project

Post-Diploma Certificate in Big Data Analytics

Big Data Analytics Essentials
Machine Learning and Techniques
Text Mining and Analytics
Big Data Analytics Project

Post-Diploma Certificate in Big Data Management

Big Data Management Essentials
Infrastructure System for Big Data Processing
Parallel Computing for Big Data
Big Data Management Project

Specialist Diploma in Business & Big Data Analytics

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What You'll Study

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Specialist Diploma in Business & Big Data Analytics

About the Course

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Contact Us

Course Manager

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