Professional Certificate in Business Analytics

Professional Certificate

Programme Structure

Course Name	Course Schedule	Mode of Delivery	TGS Reference Number
Descriptive Analytics	To be advised	Classroom Learning	TGS-2025056124
Applied Analytics Using Predictive Modelling	To be advised	Classroom Learning	TGS-2025056121
Prescriptive Analytics – From Data to Optimal Course of Action	To be advised	Classroom Learning	TGS-2025056120

Programme Overview

This Professional Certificate in Business Analytics programme empowers learners with essential competencies in business analytics, enabling them to effectively identify, analyse, and solve business challenges using data-driven insights. Learners will develop expertise in descriptive statistics, numerical summaries and visual data representation, as well as designing and evaluating algorithms to inform organizational decisions, through descriptive, predictive, and prescriptive analytics. By mastering fundamental methods, frameworks, and techniques in analytics, learners will be able to extract actionable intelligence from data, facilitating informed business decisions. Additionally, the programme ensures proficiency in utilising advanced business analytics tools within organisational contexts, promoting a strategic approach to leveraging data for competitive advantage.

Programme Objectives

This Professional Certificate will equip learners with the following competencies:

Identify, analyse and solve critical business problems using analytics
Design and evaluate algorithms to drive organisational decisions and insights using descriptive, predictive and prescriptive analytics
Understand and apply fundamental methods, frameworks and techniques of analytics to make sense of data and make informed business decisions
Acquire competency in using business analytics tools in their organisations

Job Role Readiness

This Professional Certificate will prepare learners in the following job roles to perform their responsibilities more effectively:

Data Analysts/Associate Data Engineer

Who Should Attend

Professionals who are keen to explore work opportunities in analytics.

Prerequisites

At least a polytechnic diploma.

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Funding Available

SkillsFuture Funding

SkillsFuture Credit

Enhanced Training Support

SFEC

UTAP

PSEA

Instructors

Ms Samantha Sow

Programme Fees

Singapore Citizens		Singapore PRs	Enhanced Training Support for SMEs	International Participants
39 years old or younger	40 years old or older	Singapore PRs	Enhanced Training Support for SMEs	International Participants
S$3,510.50	S$2,320.50	S$3,510.50	S$2,320.50	S$6,485.50

Total Nett Programme Fee Payable, including GST, after additional funding from various funding schemes.
Participants must fulfill at least 70% attendance and pass all assessment components for all short courses within a professional certificate in order to be eligible for SSG funding.
The applicable funding is for Singaporeans and Singapore PRs. This is subject to change and in accordance with SSG funding guidelines as of course commencement.
For more information on class cancellations and refunds, please visit our Terms and Conditions page.

NOTE

As AI and emerging technologies continue to reshape industries and transform workforce skill requirements, we are refreshing our programme portfolio to ensure our offerings remain relevant, responsive, and aligned with evolving industry needs.

As outlined on our website since December 2025, the Advanced Professional Certificate (APC) and Professional Certificate (PC) programmes will be phased out by June 2026. As part of this transition, we are developing and introducing new courses and learning opportunities to help learners acquire the skills needed to thrive in a rapidly changing environment. A selected number of existing individual courses will also continue to be offered.

To explore our upcoming courses and learning opportunities, please visit: https://www.comp.nus.edu.sg/executive-education/upcoming-courses/. For any enquiries, please contact us at socx@nus.edu.sg.

Ms Samantha Sow

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