Business
Specialist Diploma in Business Analytics
Open for Registration
Open for Registration
Course Type
Specialist Diplomas
Infocomm
Data Analytics & Visualisation
The Specialist Diploma in Business Analytics equips students with the knowledge and skills to apply data analytics techniques to derive insights and create predictive models from diverse business data.
This course is open for registration. Apply here.
About course
Course description
The Specialist Diploma in Business Analytics equips students with the knowledge and skills to apply data analytics techniques to derive insights and create predictive models from diverse business data. This will institute data-driven business decisions and achieve a competitive advantage.
Course objectives
Upon completion of the programme, graduates will be able to:
Adopt best practices in data governance, management of diverse data to support business goals
Build a data engineering pipeline to prepare data for the downstream visualisation and analytics
Perform data analysis and visualisation for data-driven business decisions
Apply statistical concepts and techniques for data analytics
Utilise machine learning techniques for predictive analytics to address the business needs
Apply the concepts, process and techniques of text mining to transform and analyse textual content
Identify business needs of stakeholders for successful analytics
Target audiences
Diploma or degree-level graduates and professionals who want to enhance their business analytics knowledge and skills to add value to their current profession.
Company sponsorship
If you are a company-sponsored course applicant, please seek assistance from your company's course coordinator to log in to STEP using the Corp Pass to generate a corporate application link. Your application would need to be submitted via the link generated. For more information about using the STEP portal, please refer to our step-by-step guide.
Course structure
TPG course reference No.
TGS-2023020987
Specialist Diploma in Business Analytics
Participants will be awarded the Post-Diploma Certificate (PDC) upon successful completion of each certificate programme. The Specialist Diploma in Business Analytics will be issued upon meeting 50% of the attendance requirement and passing the assessment criteria of both PDCs.
Post-Diploma Certificate in Advanced Business Analytics
Post-Diploma Certificate in Advanced Business Analytics
Module name | Module synopsis |
|---|---|
Predictive Analytics with Machine Learning | This module aims to equip students with a comprehensive foundation of data mining processes, machine learning algorithms and hands-on experience to identify data trends and build descriptive and predictive models with an emphasis on business applications. Using supervised and unsupervised machine learning techniques, students will learn to resolve business problems using data mining and predictive modelling by going through the entire cycle of business understanding, data understanding and preparation, data modelling, and testing and evaluation of models. |
Statistics For Data Analytics | Statistics for Data Analytics focuses on developing new insights and understanding of business performance based on data and statistical methods. This module aims to equip students with knowledge and skills in statistics to handle applications in business analytics. Python or the R software are used to demonstrate the handling of datasets and to perform statistical analysis. |
Text Analytics | This module covers the process of data analytics for unstructured textual data from various sources, such as databases, websites or social media, from text-preprocess using NLP (natural language processing) to create transformed structured data and apply different text and data analytics techniques based on business requirements, and finally integrate with visualisation to draw insights for the business. |
Post-Diploma Certificate in Fundamentals of Business Analytics
Post-Diploma Certificate in Fundamentals of Business Analytics
Module name | Module synopsis |
|---|---|
Introduction to Data Management | This module covers the concepts of data management from data governance to data architecture, data modelling and data access. It aims to equip students with knowledge and skills to manage a variety of data sources, from data in a local database to large volume data in big data cloud storage. Students will learn to interpret relational and non-relational data models and manage data in a structured database and big data architecture. |
Data Wrangling | This module introduces the concepts, tools and techniques of data wrangling. Through building an automated data wrangling pipeline, data from diverse sources are collected, explored, cleansed, enriched and optimised and ready for the downstream visualisation and analytics process. |
Data Visualisation for Business Decisions | This module aims to equip students with the knowledge and skills to analyse and visualise data for more informed and timely business decision-making. Students will be trained to conduct data analysis, interpret results, apply visualisation techniques, design data stories, and create dashboards to support data-driven business decisions. |
Data Visualisation for Enhanced Business Insights | This module aims to equip students with advanced knowledge and skills to address more complex visualisation and analytics scenarios. Students will be exposed to a comprehensive set of tools and libraries to create static and interactive visualisations to support data-driven business decision-making. |
Entry requirements
Applicants should possess a relevant (Business, Engineering, or Technology) local polytechnic Diploma, ITE Technical Diploma / Technical Engineer Diploma / Work-Study Technical Diploma or Degree.
Applicants who do not meet the entry requirements may be considered for admission to the course based on evidence of at least five years of relevant working experience or supporting evidence of competency readiness. Suitable applicants who are shortlisted will have to go through an interview and/or an entrance test. The polytechnic reserves the right to shortlist and admit applicants.
Conditional Offer
Graduating students (in their final semester) from a local polytechnic or Institute of Technical Education (ITE) may apply for the programme.
Click here for more information on how to apply for the programme and receive a Conditional Offer.
Course schedule
Course schedule information
New Intake Commencement | Duration | Mode and Venue | Schedule | Application Start and End Date |
|---|---|---|---|---|
April and October | 1 Year | Online Learning & Face-to-face lessons at Republic Polytechnic | 3 weekdays (6:30 pm – 9:30 pm) | April Intake: Mid-November to Mid-March |
Note: RP reserves the right to reschedule/cancel any programme and amend information without prior notice.
Refer to the Academic Calendar on the Republic Polytechnic website or key dates and important information to help you plan your learning journey.
How to apply?
Click the Apply button to submit your application. You will receive a confirmation once it has been successfully submitted.
If you are unable to attend the current course dates, click Register Interest button to be notified of future intakes.
If the Apply button is not visible, it means applications are currently closed. You can still click Register Interest button to leave your details, and we’ll notify you when the next application window opens.
Company sponsorship
If your company is sponsoring your course:
Ask your company’s course coordinator to log in to the STEP portal with Corp Pass and create a corporate application link for you.
Use this link to submit your application.
Need help? Check out our step-by-step guide for instructions on using the STEP portal.
Need more information?
Visit the Course Application page for full details on the application process.