The ability to analyse data and translate it into meaningful insights has become increasingly relevant.
Organisations are collecting and generating increasing volumes of data. The role of data is also becoming increasingly critical in the era of artificial intelligence (AI), as its quality and interpretation influence the reliability and usefulness of AI-enabled solutions. The World Economic Forum’s Future of Jobs Report 2025 highlights analytical thinking, AI and big data among the skills shaping the evolving workplace.
The Minor/Second Major in Analytics enables you to develop these capabilities and apply them within your degree. The curriculum combines conceptual understanding with hands-on application. Through business cases and datasets, you will learn to prepare data, identify patterns and relationships, apply appropriate analytical techniques, interpret results, and communicate insights clearly to different stakeholders.
You will also use analytics and AI-assisted tools effectively and responsibly, while critically evaluating analytical findings and AI-generated outputs. By integrating these capabilities with your domain knowledge, you will be better equipped to examine real-world problems and support evidence-based decision-making.
Career Prospects
Analytics skills are relevant across a wide range of sectors, including business, finance, marketing, human resources, logistics, healthcare, technology, government and the social services. When combined with expertise from your major, these skills can help you contribute more effectively to data-informed projects and decisions.
- Formulate relevant questions that can be addressed using data.
- Prepare, explore and analyse structured and unstructured data.
- Identify meaningful patterns, relationships and trends.
- Apply suitable analytical techniques and tools.
- Interpret analytical results within an appropriate business or disciplinary context.
- Communicate findings through effective visualisations and data narratives.
- Critically evaluate data, models and AI-assisted outputs.
- Consider ethical and responsible practices when using data and analytics.
These capabilities can strengthen your readiness for roles that involve business analysis, data analysis, reporting, performance management, market research, customer insights, operations, policy analysis and decision support.
The Minor/Second Major in Analytics is suitable for students who aspire to become domain professionals who can use data to ask better questions, generate stronger evidence, and make more informed recommendations.
Curriculum
The Minor in Analytics provides a focused foundation in analytics, while the Second Major in Analytics offers broader and deeper training for students who wish to develop more substantial expertise in the field.
Both aim to help you connect analytics with your domain knowledge and use data more effectively in professional and real-world settings.
Testimonials
Lee Zi Qian Lois (BSc Marketing with Minor in Analytics)
As a student majoring in Marketing, pursuing a Minor in Analytics strengthened my analytical skills that complement my field of study. Learning to work with tools such as Tableau and Python changed the way I approached marketing problems, helping me uncover meaningful insights from data to support better decision-making. These skills proved valuable during my marketing internship in a technology company, where I worked regularly with campaign data and performance analysis. I would recommend this minor to students looking to build a competitive edge through developing analytical skills, as it provides a strong foundation for today’s data-driven workplace.
Justin Wong Jun Heng (BSc Supply Chain Management with Second Major in Analytics)
Pursuing a Second Major in Analytics has complemented my Supply Chain Management Major by equipping me with practical skills to analyse data and support business decision-making. Through modules such as Data Visualisation for Business, Python for Data Analytics and Fundamentals of Data Mining, I developed skills in data preparation, analysis, visualisation and Python programming. I was also able to apply these skills during my internship at Infineon, where I used Python with SAP data to automate reporting processes. This experience showed me how analytics can contribute to improving efficiency and supporting real-world supply chain operations.
Ceri Ng Shi Ying (BSc Finance with Second Major in Analytics)
Pursuing a Second Major in Analytics has complemented my Finance studies by helping me understand how data can support business and financial decision-making. The courses have equipped me with practical skills in programming languages such as R and Python, as well as data visualisation tools including Tableau and Power BI. During my internships, I applied these skills to transform raw data into meaningful insights and automate time-consuming reports. This allowed me to “work hard and work smart” by using technology to improve efficiency and support better decision-making.