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OverviewCourse InformationCourse StructureEntry Requirement
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Best suited for Business Professionals who wish to learn or enhance their analytics skills to perform more effectively in helping management make better business decisions. 
Apply Skills
Candidates enrolled in this programme will be trained in data handling, visualisation and storytelling, and predictive modelling techniques to help their companies create business value through the use of analytics.
Get Hired
The course is suitable for any working professionals from business-related industries including, Finance, Healthcare, Retail, Logistics and Marketing etc. After completing the course our graduates can look forward to work as Data Analyst, Business Analyst, Marketing Analyst, MIS Analyst and Business Managers.
Potential Pathways
Students who complete the Specialist Diploma course will gain recognition for their acquired skills assessed in the same modules of the NUS-ISS Stackable Programmes andopen up potential pathways for continued skills mastery through NUS-ISS Master of Technology (MTech) programmes in the future.
Course Information At A Glance
Course Date
Post Diploma Certificate in Business Analytics
Data Visualisation for Business:* 
Session 1: 7, 8, 9 Apr 2020 (Class Full) 
Session 2: 10, 11, 12 Jun 2020 (Class Full) 
Session 1: 15, 16, 17 Apr 2020 
Session 2: 17, 18, 19 Jun 2020 

Business Trends and Insights:* 
Session 1: 20, 21, 22 Jul 2020 (Class Full) 
Session 2: 26, 27, 28 Aug 2020 (Class Full) 
Session 1: 28, 29, 30 Jul 2020 
Session 2: 2, 3, 4 Sep 2020

Post Diploma Certificate in Decision Analytics 
Statistics in Business: 
Course dates to be advised 

Business Predictions: 
Course dates to be advised 

Post Diploma Cert in Business Analytics
Course date: 19 Oct 2020​

 * Note: Students are required to attend both sessions 1 and 2 to successfully complete the respective modules. There will be some online learning on top of the physical lessons.
Class time8:00am to 6:00pm (6 days per PDC, exact days to be confirmed)
Application Period
15 Jun - 31 July 2020
Application Outcome: 31 Aug 2020

Course Fee For more info, please click here.
SkillsFuture Credit
Eligible. For more details, please click here.
Ngee Ann Polytechnic


Quizzes, Projects, Continuous Assessments

Ngee Ann Polytechnic reserves the right to reschedule / cancel any programme , modify the fees and amend information without prior notice.
What You Will Learn
You are required to complete 2 post-diploma certificates within a two-year validity period to be awarded the Specialist Diploma qualification.
Post Diploma Certificate in Business Analytics

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

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’ 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’ and ‘Predictive Anaytics - Insights of Trends and Irregulaties’ from NUS-ISS’s MTech EBAC stackable programmes.

To find out more on courses incorporated from NUS-ISS MTech EBAC Graduate Certificate in Business Analytics Practice, please click here.

Entry Requirements
You will need to have a local Polytechnic Diploma or recognized Degree (with English as the medium of instruction) in business, engineering, technology, or any other disciplines with at least one (1) year of relevant work experience. Some working knowledge of Microsoft Excel would be helpful.
Students enrolled into the course are expected to bring along their personal laptop.

This course is brought to you by Ngee Ann Polytechnic’s School of Business & Accountancy.
For enquiries, please email

Recognition of Prior Learning (RPL)

Applicants who do not meet the entry requirements may be considered for admission to the course based on evidence of at least 5 years of relevant working experience or supporting evidence of competency readiness. Suitable applicants who are shortlisted may have to go through an interview and/or entrance test. The Polytechnic reserves the right to shortlist and admit applicants.

For more information about Recognition of Prior Learning, please click here.

Our Partner (NUS-ISS)

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. 
Frequently Asked Questions


Q1. Will the Certificates in the Specialist Diploma be jointly issued with the Institute of Systems Science (NUS-ISS)?
Specialist Diploma in Business & Decision Analytics graduate certificate will bear the Ngee Ann Polytechnic (NP) logo only. However for students who successfully complete the course they will also receive the Certificate of Completion for each of the three courses incorporated from the NUS-ISS Master of Technology in Enterprise Business Analytics (MTech EBAC) stackable programmes.

Q2. How does the collaboration with NUS-ISS work?
There are three courses incorporated from NUS-ISS’ Graduate Certificate of Business Analytics Practice which is also part of the Master of Technology in Enterprise Business Analytics (MTech-EBAC) programme. These three courses comprises ‘Statistics Bootcamp’, ‘Data Analytics Process & Best Practice’ and ‘Predictive Analytics – Insights of Trends and Irregularities’ (more infomation can be found here). ‘Statistics Bootcamp’ will be taught in the module ‘Statistics in Business’ and ‘Data Analytics Process & Best Practice’ and ‘Predictive Analytics – Insights of Trends and Irregularities’ will be taught in the module ‘Business Predictions’. The content from these three courses will be taught as-is.
Upon successful completion of the relevant modules of the Specialist Diploma, students will gain recognition for their acquired skills assessed in the same modules of the NUS-ISS Stackable Programmes. This will open up potential pathways for continued skills mastery through NUS-ISS’ MTech EBAC programmes in the future

Q3. Will the courses be conducted in the day?
Yes. The courses will be conducted in the day with the dates indicated as above. The program is designed such that each session is a block of 3 consecutive days in a month.


Q1. Are there any skills or knowledge required before applying for the course?
The course does not require students to have any prior knowledge in Analytics nor computer programming. However, a working knowledge of Microsoft Excel is needed as the course involves intensive use of data and analytics tools with drag-and-drop features and some programming.

Q2. What are some of the software used in the course?
We will be using popular analytics drag-and-drop tools for data visualisation (e.g Microsoft Power BI, Tableau) and predictive analytics (e.g. Microsoft Azure ML Studio, RapidMiner, IBM SPSS Modeler). These will include open-source coding platforms (e.g. R or Python) as well.

Q3. What are the various assessments required in order to pass the course?
Assessment components will be in the form of quizzes, individual and group projects, as well as other appropriate assessments. However there are no written examinations.

Q4. Who are the trainers?
The trainers will be Ngee Ann Polytechnic Lecturers with many years of experience in data-related work. They will also be certified by NUS-ISS to teach the three courses incorporated from the MTech EBAC stackable programmes.

Q5. How are the classes conducted?
The sessions indicated above will be conducted face-to-face in classrooms. However there will be online learning which will complement these face-to-face lessons. These will include online discussions, self-learning of materials through videos or slides and online quizzes, amongst others.

Q6. Where will the classes be conducted?
Generally, all face-to-face classes will be conducted on Ngee Ann Polytechnic campus, including courses based on the MTech EBAC stackable programmes.