Prescriptive Analytics – From Data to Optimal Course of Action

Date: 30 May 2023 | 9am-5.30pm | Classroom Learning
Duration: 1 Day


Course Overview

In this course, participants will explore optimization models and software tools to provide them with a set of key skills in the area of prescriptive analytics. Prescriptive analytics is an extension of what happened (descriptive), and what will happen (predictive) to an optimal course of action to follow. By using optimization models and available tools, participants can determine the near-term outcomes and make the best decisions for their organizations.

As they evaluate business objectives, key metrics such as profitability improvement, cost reductions, and revenue can be optimized with prescriptive analytics. During this program, they will analyse business cases including scheduling planning, supply chain, transportation and investment portfolios, and learn to model business problems as linear programmes. They will build knowledge of linear programming and use the tools of business analytics to create value in any organisation.

Participants will learn how to carry out prescriptive analytics using open source software such as Excel add-in/Open Solver or R for optimization.

This module is part of Professional Certificate in Business Analytics.

Course Objectives

This course will enable participants to:

  • Understand how to perform prescriptive analytics with optimisation techniques
  • Understand the fundamental key concepts of linear, integer programming and decision analysis
  • Understand how to model business problems for decision optimisation, interpret sensitivity analysis and shadow prices
  • Acquire basic proficiency in popular data analytics tools such as Excel add-in and/or R
  • Apply hands-on techniques to solve optimisation models, linear and integer programming and decision analysis
  • Decide which prescriptive analytics approach to use for different situations

Who Should Attend

Business Analyst, Data Analyst, Data Engineer, Analytics Consultant, Business Intelligence Manager and Program Manager. Professional who are keen to explore work opportunities in analytics.


At least a polytechnic diploma.

Course Conveners

(Click their photos to view their short biographies)

eeeee Samantha Sow

Ms Samantha SowMs Samantha Sow

Course Fees

Singapore Citizens
39 years old or younger
40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants

Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes

Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.

To enquire, email

To register, click Register

Course Code: TGS-2022015667 (Classroom Learning) / TGS-2022015676 (Synchronous e-learning)

For members of public and NUS Alumnus (without R&G Voucher), please follow the steps below:

Select Short Course / Modular Course -> Apply for Myself -> Browse Academic Modules / Short Courses-> Module/Course Category -> Short Courses -> Browse Courses-> Advanced Computing for Exe (Faculty/Department / Unit)

Please download the user guide for NUS Online Application Portal after you click ‘Apply for Myself’ if you need assistance.

Course Fee Breakdown

Singapore Citizens

Singapore Citizens

39 years old or younger

Singapore Citizen

40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants