The recent surge in large language models (LLMs) has reignited a longstanding question: How should we, as humans, position ourselves in a world where machines can perform the majority of intelligent tasks with

unprecedented efficiency?

Perhaps the same question was asked when the MSc in Business Analytics programme was founded in 2019 – because this curriculum was designed unlike any other similar programmes that the market offers. Instead of spoon-feeding information to students as LLMs do, students who dare to challenge themselves are offered a path to graduate by completing a research paper. This is where originality and imagination are fostered: when students are free to explore their interests and create knowledge with the building blocks they have acquired from foundation courses. This is also where the distinction between humans and bots becomes apparent.

In an era where our very existence is being threatened, it is crucial to stay abreast of the challenges ahead. This is also what makes this programme unique – by encouraging innovation and aspiring for creativity that can keep us competitive in an ever-changing world.

I could feel the magic of data when taking subjects related to business analytics. This programme let me know how to use data analysis tools and methods in real-life business especially for making decisions. Case studies helped me look at business from different perspectives and find solutions using different methods. I developed rigorous and divergent thinking during the process of learning.

Combining academic rigour and practical relevance helped me understand the role of data in decision-making and the fundamentals of applying analytical techniques on big data for decision supports of an organisation. This programme enabled me to apply the latest academic thinking and analytical tools in making business decisions.

In recent years, business analytics has evolved as a powerful and essential capability for firms in ever-changing and competitive markets. Data has become the new corporate asset. As the sea of data is vast and growing exponentially, executives must connect their data strategy to their analytics strategy to avoid drowning.

The MSc in Business Analytics programme aims to build deep competencies in the skills needed to implement and oversee data-driven business decisions. These include (i) collecting, organising, and transforming datasets, (ii) forming inferences and predictions from a vast volume of data, and (iii) improving business decision making through a proficiency with tools such as Python, SmartPLS, and SPSS.

As a commercial finance manager in the leading firm in the fast-moving consumer goods industry, I play a strategic role in driving the firm’s financial success. That is why it is essential for me to equip myself with strong analytical skills, mathematical skills, and application skills. I can leverage the knowledge and skills that I have learned from the programme to make extensive use of data to glean valuable insights, predict market changes, and ultimately improve strategic decisions. This enables me to drive business growth so that the firm optimises its margin and remains commercially competitive.