Skip to content

    👋 Quick question — how are we doing?

    Big Data in Marketing (Classroom & Synchronous E-Learning)
    National University of Singapore Business School

    Big Data in Marketing (Classroom & Synchronous E-Learning)

    National University of Singapore Business School, Singapore
    HomeData & AINational University of Singapore Business SchoolBig Data in Marketing (Classroom & Synchronous E-Learning)
    N/ADuration
    in-personFormat
    EnglishLanguage
    Data & AITopic

    Next Available Cohort

    Choose your preferred start date

    Date TBD
    in-person · Instructor-Led · Singapore Campus
    Open
    $5,886

    All-inclusive program fee

    About This Program

    For more and more enterprises, competitive advantage is obtained via data analytics and idea sharing in the current fast-paced, data-intensive, and open-source business environment. The capability of understanding data, digging out valuable insights from data, and thus making right marketing decisions accordingly has gradually become an essential skill that marketing professionals must master in order to excel in their career. This course prepares students with fundamental knowledge of using R to organize, visualize, and analyze data. It covers the complete data analytics cycle to train students to be future ready, data sensitive, and data minded marketing professionals. In summary, learners will learn to enhance their strategic decision-making and driving business growth by acquiring the ability to leverage big data analytics for actionable marketing insights, effective storytelling, and impactful visualizations. This course is part of The NUS Executive Education Future-Ready Credits Series and is worth 4 academic units/credits. Learners can receive the corresponding academic units/credits for the course if they enroll in The NUS MBA/EMBA degree programme. Upon completion, participants receive verifiable digital certificates through Accredible, allowing them to professionally showcase their achievements and seamlessly share their credentials on social media and other digital platforms.

    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, marketing executives, and entrepreneurs.

    Benefits

    • Master the fundamentals of R programming language.
    • Self-source, manipulate, explore, and visualize data in a meaningful way.
    • Understand basic machine learning skills and be able to apply them in various aspects of marketing.
    • Be able to communicate insights gained from data effectively to others.

    What You'll Learn

    • Session 1 (full day on campus): Course overview; big data processing framework; introduction to Power BI; principles of data visualization.
    • Session 2 (full day on campus): Introduction to R and RStudio; fundamentals of data types, data structure, and data management.
    • Session 3 (online evening): Review of data visualization assignment.
    • Session 4 (online evening): Review of R programming assignment.
    • Session 5 (full day on campus): Market positioning with big data; identifying drivers of outcomes.
    • Session 6 (full day on campus): Market basket analysis; market segmentation; listen to voice of consumers.
    • Session 7 (online evening): Review of marketing application case 1.
    • Session 8 (online evening): Review of marketing application case 2.

    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.

      Compare programs →
    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 →

    Other Data & AI programs at National University of Singapore Business School

    1 / 13