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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 Structure
Entry Requirements
Financial Matters
Course Schedule
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Area of interest
Data Analytics, Technology

About Course

Course Objectives

The Specialist Diploma in Business Digitalisation (Analytics)(SDBD(A)) is a part-time CET course, consist 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, these executives will be equipped students with an understanding of ML/ AI solutions which can be used to automate tasks, enhance decision-making processes, and drive innovation across various industries. Students 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 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

A local Polytechnic Diploma (with English as the medium of instruction) in business, engineering or technology, orA local Polytechnic Diploma (with English as the medium of instruction) in any other disciplines with at least one (1) year of relevant work experience.
or

Highest qualification

University Degree (with English as the medium of instruction) in business, engineering or technology, orUniversity Degree (with English as the medium of instruction) in any other disciplines with at least one (1) year of relevant work experience.
and

Condition 2

Working experience

Minimum 1 year for applicants from non-related disciplines.

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).

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.

Course 
Schedule

Class Days: Mon, Tue, Thu & Fri
Time: 8.00am to 5.00pm
Delivery Mode: Classroom, Synchronous eLearning, Asynchronous eLearning
Registration Period
02 Jan 2025 - 15 Feb 2025
Course Date
21 Apr 2025 - 31 Mar 2026
Schedule Info
Ngee Ann Polytechnic reserves the right to reschedule / cancel any programme, modify the fees and amend information without prior notice.
Mode of Training
Classroom
Venue
NGEE ANN POLYTECHNIC