MSc (MTM) student – Xia Xiaorui

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When Xiaorui was exploring graduate programmes, the Department of Industrial Systems Engineering and Management’s Master of Science in Maritime Technology & Management (MTM) programme stood out for its focus on bringing technology and data into the maritime industry. Xiaorui’s previous academic background had limited exposure to data analytics. She recognised that developing strong technical skills was essential for succeeding in today’s industry, making the MTM programme an ideal choice for building a solid foundation in this area.

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PhD student – Mohamed Faisal Bin Mohamed Salleh

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Rather than pursuing a Doctor of Philosophy for another academic credential, Dr Faisal returned to NUS at the age of 53 with a clear purpose: to acquire knowledge that could help organisations, industries and society better navigate an increasingly complex and interconnected world. As a part-time candidate, he completed his doctorate in just four years while balancing the demands of leadership at work and life as a grandfather at home.

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MSc (SCM) student – Amilia Chow Yee Lum

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Supply chains have always been a critical part of how businesses operate, but global disruptions in recent years reinforced Amilia’s perspective on how interconnected and strategically important they are. Amilia wanted to develop a broader perspective of supply chain management and strengthen her knowledge beyond her area of specialisation. Ultimately, she decided to pursue the MSc Supply Chain Management programme at the National University of Singapore as a full-time student.

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MSc (ISE) student – Shan Chunyu

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Shan Chunyu was primarily drawn to the Data Analytics (DA) specialization offered by the Master of Science, Industrial and Systems Engineering (ISE) program. During her career planning phase after her bachelor’s degree, Chunyu realised that she had a strong passion for both data analytics and supply chain management. With the current boom in Artificial Intelligence (AI) and Large Language Models, Chunyu firmly believes that the deep integration of data science and supply chain is the future of the industry.

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