ANALYTICS FOR LEADERS (CLASSROOM & SYNCHRONOUS E-LEARNING)
DURATION
2 weeks
NEXT RUN
01 Mar 2025
FEES
SGD 2,943.00 (incl. GST)
SGD 342.90 (after MAX Funding)
VENUE
NUS Business School and Live Online (Blended)
NUMBER

Fallon Han
+65 6516 1037

TGS CODE
TGS-2024051561
GST shall apply at prevailing rates. More info.
This course is part of The NUS Executive Education Future-Ready Credits Series and is worth 2 academic units/credits. Learners can receive the corresponding academic units/credits for the course if they enroll in The NUS MBA/EMBA degree programme.
OVERVIEW

Transform data analytics into competitive business advantage

We discuss what constitutes data analytics, factors for successful analytics, and apply analytics in mature markets. We look into best practices of descriptive analytics and predictive analytics and discuss how analytics changes business models. This will be applied to market analysis such as price formation and economic performance in competitive and monopolist markets by using optimization, statistical and stochastic methods.

In summary, learners will apply big data analytics to develop business insights, that aid in business leaders’ decision making.

 

About The NUS Executive Education Future-Ready Credits Series

The NUS Executive Education Future-Ready Credits Series offers modular courses specifically curated to empower working professionals with the opportunity to upskill while earning academic credits towards The NUS MBA or Executive MBA programmes. For details, please click here.

Outline

  • Data Analytics and Analytics Journey
  • Digital Transformation for Operations Management
  • Introduction to Data Audit Exercise
  • Assignment

  • Demystifying Analytical Methods
  • Driving Product Growth with Data and Experimentation 

  • Applying Analytics in Mature Markets

  • Data Audit Exercise
  • Group Presentation
    KEY BENEFITS

    By the end of this module, learners will be able to:

    • Analyze and articulate the characteristics of big data
    • Implement and leverage analytics in businesses to enhance decision making
    • Execute best practices of analytics
    • Develop the design of a data project
    • Master how to bring value through analytics. Evaluate causal inference and associated techniques. Utilize various analytics techniques to make causal inferences
    FACULTY


    jussi samuli keppo
    Head of Department, Professor
    Analytics & Operations

    Research Director
    Institute of Operations Research and Analytics
    View Profile
    WHO SHOULD ATTEND

    Leaders, managers, professionals who must understand the power using data analytics to make informed business decisions.

    EARN MICRO CREDITS

    This course is mapped to BME5201 Analytics for Leaders in The NUS MBA/EMBA degree programme, and will count towards reading it.

    Please note:

    1. Learners enrolled in this course are not permitted to take BME5201 Analytics for Leaders in the degree programme.
    2. Completing the course does not guarantee direct admission or matriculation to the MBA/EMBA degree programme. 
    3. All students are required to pay full MBA/EMBA degree programme fees regardless of the micro credits earned.

    DATES AND FEES
    Date Venue (incl. GST) (after MAX Funding) Registration
    01 Mar 202509 Mar 2025
    NUS Business School and Live Online (Blended) SGD 2,943.00 SGD 342.90
    Application Procedure & Deadline
    Participants are strongly advised to apply at least 2 weeks in advance.

    Preclusion 

    • Should not have taken module BME5201 Analytics for Leaders in The NUS MBA/EMBA programme.
    SkillsFuture Singapore (SSG) Funding Scheme for Singapore Citizens or Permanent Resident (PR)

    This programme is eligible for subsidies under SkillsFuture Singapore (SSG). Singaporeans or PR can enjoy up to 70% or more subsidies.

    *Click here to find out the details.