Specialist Diploma in Business and Decision Analytics (SDBDA)

Offered by School of Business & Accountancy

Post-Diploma / 1 year / TGS-2022014506

Note: Please note that all applications for programmes will be done via STEP. Click the 'APPLY' button on this page to proceed to STEP. You are required to use your Singpass to activate your STEP account. To receive an alert about the future runs for this course, please click the 'INDICATE INTEREST' button. Thank you. STEP, the Skills Training and Enhancement Portal, is a one-stop digital platform for your training needs.
Course Information
Learning Outcomes
Course Schedule
Lesson Plan
Entry Requirements
Course Fees

Course Information

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.

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.

Embrace the Data Revolution today. In our dynamic course, learn how to harness the power of expansive and valuable data. Equip yourself with the skills to navigate technology, apply analytics, and unlock meaningful insights that propel your business to unparalleled heights. 

For Apr 2024 Sem Intake

Module exemptions are now available for successful applicants to this course through a challenge exams for the Apr 2024 Intake.  Selected module is:

  • Data Visualisation for Business

Stay tuned for additional information on the upcoming skills quest challenge. Here’s some great news—applications for the challenge exams are now open alongside your programme enrollment application.

Mark your calendar for the on-campus challenge exam sessions: January 26, 2024, Wednesday at 10 am and February 16, 2024, Friday at 10 am at NP. All learners will be given an info pack to prepare for this Skills Challenge. You can submit your course application and apply for the Skills Challenge at the same time.  Apply for the Skills Challenge click HERE.

Have questions, email EnquiryPTD@np.edu.sg today! Get ready for the next step in your academic journey!

Get ready for the next step in your academic journey!

Why join the programme and who is this designed for?

Target Audience
This is designed specially to cater for business professionals who are looking to understand and acquire analytics knowledge and skills using available drag and drop tools with minimum programming.

No Programming Background, No Problem
Only working knowledge of Microsoft Excel is needed. No prior programming knowledge is required.

What is Unique about this Programme (Partnership with NUS-ISS)
✔ Upon successful completion of the course, on top of graduate certificate that bears Ngee Ann Polytechnic’s logo, students will also receive the certificate of completion of each of the 3 following courses from the NUS-ISS Master of Technology in Enterprise Business Analytics (MTech-EBAC):

    ✔ Statistics Bootcamp II
    ✔ Data Analytics Process and Best Practice II
    ✔ ‘Predictive Analytics – Insights of Trends and Irregularities

✔ These courses are taught as-is in Ngee Ann Polytechnic’s Post-Diploma Certificate in Decision Analytics and they also form 3 out of 4 modules of the NUS-ISS Graduate Certificate of Business Analytics Practice.

What are the tools/programming languages/platforms used in this programme

    ✔ Power BI
    ✔ Tableau
    ✔ KNIME machine learning
    ✔ MySQL
    ✔ R

Upon completion, the skill sets are relevant for the following job roles: Business Intelligence Developer, Business Analyst, Data Analyst, Associate Data Engineer.

Hear from our adult learners!

The course covered a number of useful business analytics tools widely used in today’s workplace, such as Tableau and PowerBI for Data Visualization and MySQL and R for data analysis. It is a good course to build one’s foundation in these tools. Additionally, the instructors are patient, knowledgeable and very willing to share their knowledge and help students get up to speed.

Despite not having prior experience in using any of these tools, I was able to follow through with the course contents. Highly recommended for beginner learners looking to get exposure to different business analytics tools!

Lim Yue Hui, Internal Auditor

In this course, I managed to gain data visualization skills, understand coding and pick up some query languages. It provides the basics for my current job as a business analyst.

The teachers are knowledgeable and are able to share valuable insights based on their experiences. I would recommend this course to anyone who would like to learn the foundations of analytics.

Tan Dee Lian, Business Analyst

I just wanted to say a big thank you to the lecturers and admin staff for the wonderful learning experience I had over the past year. I truly appreciate the valuable knowledge I gained on data analysis and the friendships made with fellow course mates and lecturers. The lesson plan was well-crafted and made it easier for us to comprehend and learn. I am also especially grateful for the patience and assistance shown to me by all the lecturers throughout the course, as I am slow in learning. Once again, thank you for the fruitful learning journey!

May Wong Ek Su, Senior Account Manager

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.

Note: Skills challenge available for new students joining the Apr 2024 intake. Pls see schedule above. Have questions on the skills challenge? Email EnquiryPTD@np.edu.sg.




Course start date: 26 Mar 2024
Application Period: 2 Jan – 25 Feb 2024
Expected commitment from learners:
Class Day(s): 3 weekdays per month – Blocks of 3 days (Wednesday to Friday)
Time: 9am to 5.30pm
Delivery Mode: Classroom, Synchronous eLearning, Asynchronous eLearning
Venue: Ngee Ann Polytechnic/Online
The course will adopt a hybrid learning model where participants are required to attend class in-person, and virtually from home.

Post-Diploma Certificate in Business Analytics

Module Dates Face to Face dates
Data Visualisation in Business 26 – 28 Mar 2024 26 Mar
30 Apr and 2, 3 May 2024 30 Apr
Business Trends and Insights 11 – 13 Jun 2024 11 Jun
23 – 25 Jul 2024 23-24 Jul

Post-Diploma Certificate in Decision Analytics

Module Dates Face to Face dates
Statistics in Business 1 – 3 Oct 2024 01 Oct
8 – 10 Oct 2024 8 Oct
Business Predictions 6 – 8 Nov 2024 6 Nov
4 – 6 Dec 2024 4 Dec
9 – 10 Jan 2025 NA

* 2 days face to face for Business Trends and Insights (Part 2).

Post-Diploma Certificate in Decision Analytics

Note: Students have to complete Post-Diploma Certificate in Business Analytics before they are eligible to apply for Post-Diploma Certificate in Decision Analytics

Note that classes are held synchronous online, unless otherwise stated below:

Module Dates Face to Face dates
Statistics in Business 9, 11-12 Apr 2024 09 Apr
30Apr, 2-3May 2024 30 April
Business Predictions 29-31May 2024 29 May
26-28 Jun 2024 26 Jun
18-19 Jul 2024 NA

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.

SkillsFuture Credit
All Singaporeans aged 25 and above can use their $500 SkillsFuture Credit from the government to pay for a wide range of approved skills-related courses. Visit the SkillsFuture Credit website to choose from the courses available on the Training Exchange course directory. 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.

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.

GST Increment in 2024
Please note that the GST rate will be revised to 9% with effect from 1 Jan 2024, as such any payable course fees will be subjected to the new GST rate adjustments in 2024. Please refer to our STEP portal for the updated fees. (Click on STEP)


  • Please refer to our FAQs for more information.
  • The fees below are determined based on prevailing funding policies and subject to review and revision.
  • For full course fees throughout the semesters, refer here.

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

Applicants / Eligibility Fees
Full Course fee$8027.85
PR Sponsored by SME$835.93
Singapore Citizen Sponsored by SME$835.93
Singapore Citizen Aged 40 & Above$835.93
Singapore Citizen Aged Below 40$1204.18
Singapore PR$3211.14
Long-Term Visit Pass Plus$8027.85