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Analytics for Leaders (Classroom & Synchronous E-Learning)
National University of Singapore Business School

Analytics for Leaders (Classroom & Synchronous E-Learning)

National University of Singapore Business School, Singapore
HomeData & AINational University of Singapore Business SchoolAnalytics for Leaders (Classroom & Synchronous E-Learning)
11 daysDuration
in-personFormat
EnglishLanguage
Data & AITopic

Interested in this program?

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About This Program

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.

Why National University of Singapore Business School?

NUS Business School sits at the intersection of Asian markets and global management thinking in a way few schools can match. Its location in Singapore, one of the world's principal financial and trade hubs, gives executive participants direct access to Southeast Asian deal flows, regulatory environments, and corporate networks that are genuinely difficult to replicate anywhere else. The school's Asia-focused research depth, combined with strong ties to multinational corporations headquartered in the region, makes it a practical choice for leaders who need to operate across Asia-Pacific.

Your Profile

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

Benefits

  • 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.

What You'll Learn

  • Session 1 (full day on campus, 14 August 2026): A Primer on Big Data Analytics; Demystifying Analytical Methods; Factors for Successful Analytics; Intelligent Automation in Practice: Real World AI Applications to Streamline Operations.
  • Session 2 (live online, 15 August 2026): Applying Analytics in Mature Markets; Project Briefing.
  • Session 3 (live online, 22 August 2026): Data Audit Exercise & Reflect on Data Audit Exercise; Assignment.
  • Session 4 (full day on campus, 28 August 2026): Trust the Algorithm or Your Gut?; Developing Machine Learning Models; Driving Product Growth with Data and Experimentation; Business Model Exercise; Project Presentation.

Frequently Asked Questions

How to Apply

  1. 1

    Check your eligibility

    Review the entry requirements listed on this page. Most executive programs require 8–15 years of professional experience.

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  3. 3

    Contact the school

    Send a message directly to National University of Singapore Business School via Gradia to request a brochure or speak with an admissions advisor.

  4. 4

    Prepare your application

    Gather your CV, reference letters, and any required test scores. Many EMBA programs waive standardised tests for senior candidates.

  5. 5

    Submit your application

    Apply directly through National University of Singapore Business School's official application portal.

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