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SCTP Course

(SCTP) Prescriptive Analytics – From Data to Optimal Course of Action

Course ScheduleDuration (days)Mode of DeliveryTGS Reference Number
21 August 2026 | 9 am - 5.30 pm 1Classroom LearningTGS-2024046834
This course is part of the (SCTP) NUS Data Intelligence and Business Analytics Programme. Applicants are required to register for all eight SCTP courses.

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.

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.

Prerequisites

At least a polytechnic diploma.

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Funding Available

  • SkillsFuture Funding
  • SkillsFuture Credit

    • Testimonials


    The instructor was knowledgeable, interesting and organised the class well. It was a good balance of practical and lecture. A well taught class.

    Instructors


    Dr Vivek Sundar Magesh

    Dr Vivek Sundar Magesh

    Dr Vivek Sundar Magesh is a Lecturer in the Department of Information Systems and Analytics at the National University of Singapore (NUS) School of Computing. He holds a PhD in Management (specialising in Quantitative Marketing) from NUS, an MBA, and a foundational background in Electrical Engineering. His research focuses on Quantitative Marketing, Social Media, New Product Diffusion and Developing Economies. An experienced educator, Dr Magesh has taught a wide array of courses, including financial and marketing analytics, platform business models, and data visualisation. His academic work is deeply informed by his prior experience in corporate managerial positions, enabling him to provide high-level insights that bridge the gap between technical rigor and strategic business application.

    Course Fees


    Singapore Citizens Singapore PRs
    39 years old
    or younger    		 40 years old
    or older
    Full Course Fee S$850.00 S$850.00 S$850.00
    Less: SSG Grant Amount S$595.00 S$595.00 S$595.00
    Nett Course Fee S$255.00 S$255.00 S$255.00
    9% GST on Nett Course Fee S$22.95 S$22.95 S$22.95
    Total Nett Course Fee Payable, including GST S$277.95 S$277.95 S$277.95
    Less Additional Funding - S$170.00 -
    Total Nett Course Fee Payable, including GST, after additional funding from the various funding schemes S$277.95 S$107.95 S$277.95
    1. Total nett course fee payable, including GST, after additional funding from various funding schemes.
    2. Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.
    3. 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.
    4. Please refer to our Terms and Conditions page for more information.

    Other Information

    The SkillsFuture Career Transition Programme (SCTP) helps mid-career individuals build industry-relevant skills to boost employability and transition into new sectors or roles. Interested in learning more about the SCTP? Explore the FAQ to find answers to common questions, including programme details, eligibility criteria and funding.