Specialist Diploma in Business and Decision Analytics (SDBDA)

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 
Schedule

Lesson Plan

Certification

Certification

Entry Requirements