About the Course

Unlock the world of data

Did you know that 90% of the world’s data was created in just the last two years, mostly from our smart devices? Much of this data can be used to help organisations manage workloads better, deliver services more efficiently and maintain competitiveness.

Discover how you can help companies make sense of data by analysing and interpreting it  to influence business decisions.

Whether it is from sales figures, market research, mobile or social media platforms, You can take that data and transform it into useful insights for developing business strategies.

You will master the techniques and concepts for data visualisation, analytics and modelling, and learn how to manage big data, develop innovative applications and work with exciting artificial intelligence (AI) technologies.

This diploma is for you if …

You are fascinated by the insights that big data can provide and want an exciting career as a business or data analyst. 


This course will have a new curriculm for our AY2021 intake. Visit this page again on 10 June 2021 for more details. 

  • Career Prospects

    Expect to enjoy a dynamic and rewarding career as a:

    • Business analyst
    • Data analyst
    • Digital marketing executive
    • Web & applications specialist
    • Social media strategist
  • Further Studies

    NYP’s Diploma in Business Intelligence & Analytics opens doors for you to pursue a degree at reputable local and overseas universities. Many of our graduates have received advanced standing and accreditation for degree programmes in business analytics, data analytics, information technology, computer science, computer engineering, information systems and cybersecurity.

    Our graduates have pursued degrees at:



    • National University of Singapore
    • Nanyang Technological University
    • Singapore Management University
    • Singapore University of Technology and Design
    • Singapore Institute of Technology
    • Singapore University of Social Sciences


    Overseas Universities:

    US, UK, Australia, Canada, New Zealand, China, and more.