Specialist Diploma in Business & Decision Analytics

Offered by School of Business & Accountancy

Post-Diploma / 1 year / TGS-2022014506

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Course Information
Learning Outcomes
Course Schedule
Lesson Plan
Entry Requirements
Course Fees

Course Information

Data is getting bigger and increasingly more valuable. As such, businesses that exploit technology and use analytics to sift through and leverage on data that matters, will gain the upper hand in developing insights that take their business to the next level.

Our Partners (NUS-ISS)

This programme is in collaboration with NUS-Institute of Systems Science.

Established in 1981, the Institute of Systems Science at National University of Singapore (NUS-ISS) develops digital talent for the industry through graduate education, professional development programmes, consultancy, applied research and career services.

NUS-ISS is widely recognised as a champion of the national SkillsFuture movement, enabling a digital economy that is always learning and always leading. NUS-ISS has implemented a unique portfolio of multiple learning pathways, with a wide spectrum of programmes in critical industry disciplines, such as software development, data science, artificial intelligence, cybersecurity, smart health, digital government and digital innovation.

To date, over 130,000 infocomm & business professionals, 7,100 corporate customers and 5,900 post-graduate alumni members have benefitted from NUS-ISS’s suite of services. Its programmes are delivered by NUS-ISS staff with an average of more than 20 years of industry experience.

Hear from our adult learners!

The course sparked my interest in the Data field. Together with the new found passion and skill set that I gained through the course, I have successfully landed myself a new job in Data Analytics. The course has provided me with the necessary skill set to work in the Data field and opened up new opportunities for me.

Jianzhong Zhu, Data Quality Manager

Prior to this Specialist Diploma , I have self-learnt some PowerBI and Tableau. However, SDBDA introduced more advanced concepts and covered more depth. There is also emphasis on the critical thinking, the thought process and formulation of meaningful business problems.

Lydia Koh, SAP Developer

Both the pace and content suit participants with zero prior knowledge. The class is well-guided by instructors who are extremely knowledgeable, effective and patient. The combination of theoretical and hands-on practice enables me to reconcile with how and why analytics are the way they are.

Benjamin Ng, Principal Engineer

The practical case studies, rigour coursework and quality of lecturers are impressive. With this course, I’m able to switch to an analytics job function and subsequently pursue higher learning in business analytics. My course mates have also found analytics roles in banking and healthcare sectors.

Timothy Ow, Business Analytics Lead

I’m glad that I’ve managed to stumble across this course while researching for data-related courses locally. With the generous fee subsidies and grants, the course is not only value for money but has certainly helped me to acquire the necessary foundations in analytical tools and techniques.

Koh Shao Cong, Data Analytics Trainee

Although it has been a tough learning journey, I’ve picked up several skills, learnt new technologies, made some good friends and learnt together with them throughout this journey. An excellent choice!

Tan Wee Koon, Head of a SME

Joining this programme had been one of the best decisions in my life. Data analytics is not an easy field by itself, a structured course with good content and delivery is harder to come by. For those contemplating a course in Data Analytics, look no further, this is one of the best courses you will find; value for money and me. In fact, before the end of the programme, I applied and was offered a data analytics internship with a financial institution, despite no prior experiences in both areas. This programme changed my life!

Barbara Yam, Data Analytics Trainee

Learning Outcomes

Gain skills and knowledge in data handling, visualisation and storytelling, and predictive modelling techniques to help your companies create business value through the use of analytics. This course is taught by Ngee Ann Polytechnic trainers certified by NUS-ISS, established since 1981 and widely recognised for developing digital talent for the industry.

Upon completion of the course, you will acquire a recognised qualification which is equivalent to that offered by the NUS-ISS Stackable Programmes which gives you the potential opportunity to master your skills through the NUS-ISS Master of Technology (MTech) programmes in the future.


Course Start Date: TBC
Application Period: TBC
Application Outcome: One month after application closes

Class Day(s): 3 weekdays, exact days to be advised
Time: 9am to 6pm
Delivery Mode: Home-based Learning (Async & Sync) & Face-to-face (Classroom)
Venue: TBC

Post-Diploma Certificate in Business Analytics

Data Visualisation for Business*

3 weekdays, 9am – 6pm

12*, 13, 14 Apr 2023

10*, 11, 12 May 2023

Business Trends and Insights*

3 weekdays, 9am – 6pm

14*, 15, 16 Jun 2023

19*, 20*, 21 Jul 2023

*12 Apr 2023, 10 May 2023, 14 Jun 2023, 19 Jul 2023 and 20 Jul 2023 will be face-to-face classroom lessons. The rest will be Home-based Learning (Async & Sync).


Post-Diploma Certificate in Decision Analytics

Statistics in Business*: 

3 weekdays, 9am – 6pm 

3*, 4, 5 Apr 2023 

12*, 13, 14 Apr 2023 

Business Predictions*:

3 weekdays, 9am – 6pm 

10*, 11,12 May 2023

7*, 8, 9 June 2023 

6, 7 July 2023 

*3 Apr 2023, 12 Apr 2023, 10 May 2023, 7 June 2023 will be face-to-face classroom lessons. The rest will be Home-based Learning (Async & Sync)

Ngee Ann Polytechnic reserves the right to reschedule/cancel any programme, modify the fees and amend information without prior notice.

Lesson Plan

Post Diploma Certificate in Business Analytics (TGS-2022014613)
Data Visualisation for Business
This module aims to equip students with fundamental concepts of Data Visualisation for Business to develop interactive management dashboards for decision making. This involves applying best dashboard design principles, data story-telling techniques as well as insight gathering techniques. Students will learn how to organize data, perform data preparation, develop interactive dashboards, design data story-telling reports and automate repetitive tasks.
Business Trends and Insights
This module aims to equip students with database concepts and management using Structured Query Language (SQL) for data wrangling and munging. Raw transactional data can be queried in aggregated form for use in Supervised or Unsupervised machine learning to solve classification or regression problems as well as identifying natural groupings in customers. This will aid management in making critical business decisions to improve business performance. Students will be taught to use visual machine learning tools with drag-and-drop capabilities to build a predictive model.
Post Diploma Certificate in Decision Analytics (TGS-2022014614)
Statistics in Business
This module exposes students to the fundamental concepts of statistics using popular programming language and tools. Students will be equipped with statistical knowledge and techniques to perform Data Visualisation for Business, make statistical inference and help businesses answer their problems. Statistical methods will also be used to make predictions in order to help management make better data-driven decisions. This module incorporates the course ‘Statistics Bootcamp II’ from NUS-ISS’s MTech EBAC stackable programmes.
Business Predictions
This module aims to equip students with the skills to perform business predictions in real-life business scenarios through workshops using in-demand programming languages. Students will be taught how to extract information from data and use it to predict future trends and behavioral patterns in businesses. In this module, students will learn how to use business data more effectively by deriving insights of trends and irregularities from data and applying them for forward-looking predictions. This is realised through building predictive models with appropriate analytical techniques. This module incorporates the course ‘Data Analytics Process & Best Practices II’ and ‘Predictive Analytics - Insights of Trends and Irregulaties’ from NUS-ISS’s MTech EBAC stackable programmes.


1 Specialist Diploma
2 Post-Diploma Certificates
4 Modules


You are required to complete 2 post-diploma certificates within 2-year validity period to be awarded the Specialist Diploma qualification.

You will also receive the following certificates from Institute of Systems Science at National University of Singapore (NUS-ISS).

  • Statistics Bootcamp II

  • Data Analytics Process & Best Practice II

  • Predictive Analytics – Insights of Trends and Irregularities

Entry Requirements

Applicants with any of the following qualifications are invited to apply for the course:
  • A local Polytechnic Diploma or recognized Degree (with English as the medium of instruction) in business, engineering or technology or
  • A local Polytechnic Diploma or recognized Degree (with English as the medium of instruction) in any other disciplines with at least one (1) year of relevant work experience.

In addition, some working knowledge of Microsoft Excel would be helpful. Students enrolled into the course are expected to bring along their personal laptop. Only Windows notebook computer (Microsoft Windows 10 or newer) is recommended as you will be using Windows-based software that is not compatible with the Apple Mac Operating System platform.

Please refer to the FAQs for more information.

Course Fees

Funding period for this course is from 8 Jul 2022 to 7 Jul 2025.


  • The fees below are per semester. For full course fees throughout the semesters, refer here.
  • The fees below are inclusive of GST. Please note that the GST rate will be revised to 8% with effect from 1 Jan 2023, as such any payable course fees will be subjected to the new GST rate adjustments in 2023. Please refer to our FAQs for more information.
  • The fees below are determined based on prevailing funding policies and subject to review and revision.

SkillsFuture Credit
This course is eligible for SkillsFuture Credit.

All Singaporeans aged 25 years and above can use their $500 SkillsFuture Credit from the government to pay f​or a wide range of courses. The credits can be used on top of existing course fee subsidies/funding. This is only applicable for self-sponsored applicants and must be applied via the SkillsFuture Portal. More details on the SkillsFuture Credit Claims will be advised upon admission into the course. Find out more about SkillsFuture Credit here.

Union Training Assistance Programme (UTAP)
NTUC members enjoy 50% unfunded course fee support for up to $250 each year (or up to $500 for NTUC members aged 40 years old and above) when you sign up for courses supported under UTAP (Union Training Assistance Programme). Please visit e2i’s website to find out more.

Skills-Based Modular Courses (SBMCs) are bite-sized part-time courses for individuals to acquire new skills or deepen relevant skills, without the need to pursue a full diploma.  Refer here for course fees for SBMCs.

Applicants / Eligibility Fees
Singapore Citizens aged below 40 $556.14
Singapore Citizens aged 40 & above $382.88
Singapore Citizens sponsored by SME $382.88
Singapore PRs $1522.80
Singapore PRs sponsored by SME $394.80
Full course fee for SC (for repeat, deferred modules) $3707.56
Full course fee (for repeat, deferred modules)$3807.00