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AI for Leaders: Leveraging Data Analytics for Business
National University of Singapore Business School

AI for Leaders: Leveraging Data Analytics for Business

National University of Singapore Business School, Singapore
HomeData & AINational University of Singapore Business SchoolAI for Leaders: Leveraging Data Analytics for Business
5 daysDuration
in-personFormat
EnglishLanguage
Data & AITopic

Next Available Cohort

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Sep 21 - Sep 25, 2026
5 days · in-person · Instructor-Led · Singapore Campus
Open
$6,529

All-inclusive program fee

About This Program

In today's data-driven business environment, leveraging data analytics and Artificial Intelligence (AI) is critical to gaining a competitive advantage. As a leader, you need to understand the potential of these technologies and also have the skills and knowledge to integrate them into your organisation's culture and operations. This five-day programme is designed to equip you with the tools and expertise needed to transform your organisation into a data-driven enterprise. Through interactive lectures, case studies, and discussions, you will learn how to leverage big data analytics, machine learning and AI capabilities to drive better decision-making and fuel innovation. You will explore various applications of AI and analytics in business, from data visualisation to predictive modelling, and learn how to integrate these technologies into your organisation's operations. You will also gain insights into the latest trends and best practices in data analytics and AI, and learn how to effectively communicate the benefits of these technologies to stakeholders at all levels of your organisation. By the end of the programme, you will have the confidence and expertise to lead your organisation's data transformation efforts and drive better business outcomes. This programme is essential for anyone seeking to unlock the full potential of AI and data analytics in their organisation.

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 and senior managers interested in building analytics capabilities to drive change within their organisation, including C-level executives.
  • Senior managers in finance, marketing, supply chain, human resources or strategy.
  • Although no prior experience in big data, machine learning and analytics is required, participants are encouraged to complete the set of pre-readings provided to prepare for the course.

Benefits

  • Develop the skills and knowledge needed to leverage big data analytics, machine learning and AI capabilities to drive innovation and gain a competitive and sustainable edge in your business.
  • Learn about the latest ideas and techniques in big data, machine learning and analytics and discover how to apply them to real-world business challenges.
  • Understand how to interpret and trust the data that goes into your analytics, and learn how to make informed, data-driven decisions.
  • Gain the knowledge and tools to build a data-driven culture across your organisation, and learn how to effectively communicate the value of data analytics to stakeholders at all levels.

What You'll Learn

  • Big Data Analytics: Explore the technologies, policies, and analytics methods that are essential for leveraging big data, machine learning and AI capabilities to drive innovation and gain a competitive edge.
  • Actionable Intelligence in Business: Learn optimisation and visualisation techniques, and discover how to engage stakeholders and turn data into actionable insights.
  • Machine Learning and Business Applications: Get hands-on experience with machine learning techniques and learn how to apply them to solve real-world business challenges.
  • Disruptive Innovation: Explore how to create new opportunities in mature markets using big data analytics, machine learning and AI capabilities.
  • Distilling Value from Analytics: Develop a strategy roadmap, understand privacy implications, and learn how to avoid common traps and myths in data analytics.
  • Change Management: Understand the role of data analytics, machine learning, and their applications in driving change within organisations.
  • Examples and Cases: Explore real-world examples of how data analytics and machine learning can be applied to risk management, HR analytics, legal analytics, revenue management, consumer and retail analytics, and more.

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.

  2. 2

    Compare programs

    Use Gradia's comparison tool to evaluate up to 3 programs side-by-side on fees, duration, format, and accreditation.

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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.

    Apply now →

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