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[NP-SDBD(A)] Specialist Diploma in Business Digitalisation (Analytics)(SDBD(A))

Offered by School of Business & Accountancy

Specialist Diploma

About Course
Course Schedule
Course Structure
Entry Requirements
Financial Matters
Apply Register Interest
Area of interest
Data Analytics, Technology

About Course

Course Objectives

The Specialist Diploma in Business Digitalisation (Analytics)(SDBD(A)) is a 1-year part-time CET course consisting of the following modules:
1) Business Insights (75hrs)
2) Information Organisation (75hrs)
3) Predictive Analytics (75hrs)
4) AI Applications (75hrs)

Course Description

SDBD(A) is designed for mid-level executives and frontend data users seeking to enhance data visualisation skills, apply analytics, and optimise business processes with minimal programming. At the end of the course, learners will be equipped with an understanding of ML/ AI solutions which can be used to automate tasks, enhance decision-making processes, and drive innovation across various industries. Learners will be able to recommend and build AI/ML solutions with available No/Low-code tools to learn from data, identify patterns, and make intelligent decisions.

Course 
Schedule

  1. Registration Period 11 Jun 2025 - 31 Jul 2025
  2. Course Date 20 Oct 2025 - 30 Sep 2026
  3. Venue NGEE ANN POLYTECHNIC
  4. Mode of Training Classroom
  5. Schedule Info Ngee Ann Polytechnic reserves the right to reschedule / cancel any programme, modify the fees and amend information without prior notice.
Class Days: Mon, Tue, Wed, Thu & Fri
Time: 9.00am to 6.00pm
Delivery Mode: Classroom, Synchronous eLearning, Asynchronous eLearning

Note:
This course consists of four modules, with two modules covered per semester. Each module includes two full-day, face-to-face classes at Ngee Ann Polytechnic and two full-day online classes. These full-day sessions are typically held within the first three months of each semester. After completing the four full-day sessions, learners will continue the remaining sessions online at their own pace.

Course Structure

TPG course reference No.

TGS-2024048276,TGS-2024048280,TGS-2024048277

Specialist Diploma in Business Digitalisation (Analytics)

Post-Diploma Certificate in Predictive and Decision Analytics
AI Applications (NP-SAA)
This module will equip learners Artificial Intelligence (AI) concepts and current practices in the industry. It also explores how AI is currently used across various industries to achieve productivity improvements and the transformation of the businesses through innovative applications of AI. Web-based and Low-code tools that makes creating AI models fast, easy, and accessible to everyone will be used. The ethical, legal and social implications of the use of AI in business will be examined.
Predictive Analytics (NP-SPA)
This module will equip learners Artificial Intelligence (AI) concepts and current practices in the industry. It also explores how AI is currently used across various industries to achieve productivity improvements and the transformation of the businesses through innovative applications of AI. Web-based and Low-code tools that makes creating AI models fast, easy, and accessible to everyone will be used. The ethical, legal and social implications of the use of AI in business will be examined.
Post-Diploma Certificate in Visualisation and Analytics
Business Insights (NP-SBI)
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 organise data, perform data preparation, develop interactive dashboards, design data story-telling reports and automate repetitive tasks.
Information Organisation (NP-SIO)
This module is designed to provide students with a comprehensive understanding of database concepts and management. Students will also gain technical proficiency such as SQL, Python and data warehouse basics, empowering them in data querying, preparation, processing and manipulation. Moreover, students will gain valuable insights into data project lifecycles, equipping them with the essential skills to execute and implement their own data projects.

Entry Requirements

Condition 1

Highest qualification

Local Polytechnic Diploma in any discipline
or

Condition 2

Highest qualification

Recognised Bachelor's Degree in any discipline
or

Condition 3

Working experience

At least 1 year of relevant work experience.

Financial matters

Course fees payable (incl. GST & excl. supplementary fee)

Description Post-Diploma Certificate in Visualisation and Analytics Post-Diploma Certificate in Predictive and Decision Analytics Total course fee
Full Course fee $4,970.40 $4,970.40 $9,940.80
PR Sponsored by SME $517.56 $517.56 $1,035.12
Singapore Citizen Sponsored by SME $517.56 $517.56 $1,035.12
Singapore Citizen Aged 40 & Above $517.56 $517.56 $1,035.12
Singapore Citizen Aged Below 40 $745.56 $745.56 $1,491.12
Singapore PR $1,988.16 $1,988.16 $3,976.32
Long-Term Visit Pass Plus $4,970.40 $4,970.40 $9,940.80

GST rate

The course fees payable above are inclusive of 9% GST rate.

Payment option

The first payment needs to be made after accepting the offer.

Allowed payment by

The course fee allows to be paid by:
Post-Secondary Education Account (Adhoc withdrawal form);
SkillsFuture Credits (SFC);
Credit card (e-payment);
Debit card (e-payment);
PayNow (e-payment).

Important note: All course fees are determined based on prevailing funding policies and subject to review and revision annually.

Nett Supplementary Fees Payable

  • GPA Insurance Fee S$2.11,subject to GST,fees payable S$2.30 Allow payment by Post-Secondary Education Account (Adhoc withdrawal form); Allow payment by Post-Secondary Education Account (Standing order form)
  • Other Fees S$7.43,subject to GST,fees payable S$8.10 Allow payment by Post-Secondary Education Account (Adhoc withdrawal form); Allow payment by Post-Secondary Education Account (Standing order form)

Refund and withdrawal policy

  • Please note that a 100% refund will be available if the withdrawal request is submitted more than or equal to 14 days before the course start date.
  • Please note that a 50% refund will be available if the withdrawal request is submitted less than 14 days before the course start date.
  • Please note that no refund will be available if the withdrawal request is submitted on or after the course start date.